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Academic literature on the topic 'NLI'

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Published: 4 June 2021
Last updated: 1 June 2024

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Journal articles on the topic "NLI"

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Chen, Weixing. "Polynomial rings over NLI rings need not be NLI." Studia Scientiarum Mathematicarum Hungarica 52, no. 1 (March 1, 2015): 129–33. http://dx.doi.org/10.1556/sscmath.52.2015.1.1305.

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It is proved that there exists an NI ring R over which the polynomial ring R[x] is not an NLI ring. This answers an open question of Qu and Wei (Stud. Sci. Math. Hung., 51(2), 2014) in the negative. Moreover a sufficient condition of R[x] to be an NLI ring is included for an NLI ring R.
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Jurata, L. W., and G. N. Gill. "Functional analysis of the nuclear LIM domain interactor NLI." Molecular and Cellular Biology 17, no. 10 (October 1997): 5688–98. http://dx.doi.org/10.1128/mcb.17.10.5688.

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LIM homeodomain and LIM-only (LMO) transcription factors contain two tandemly arranged Zn2+-binding LIM domains capable of mediating protein-protein interactions. These factors have restricted patterns of expression, are found in invertebrates as well as vertebrates, and are required for cell type specification in a variety of developing tissues. A recently identified, widely expressed protein, NLI, binds with high affinity to the LIM domains of LIM homeodomain and LMO proteins in vitro and in vivo. In this study, a 38-amino-acid fragment of NLI was found to be sufficient for the association of NLI with nuclear LIM domains. In addition, NLI was shown to form high affinity homodimers through the amino-terminal 200 amino acids, but dimerization of NLI was not required for association with the LIM homeodomain protein Lmxl. Chemical cross-linking analysis revealed higher-order complexes containing multiple NLI molecules bound to Lmx1, indicating that dimerization of NLI does not interfere with LIM domain interactions. Additionally, NLI formed complexes with Lmx1 on the rat insulin I promoter and inhibited the LIM domain-dependent synergistic transcriptional activation by Lmx1 and the basic helix-loop-helix protein E47 from the rat insulin I minienhancer. These studies indicate that NLI contains at least two functionally independent domains and may serve as a negative regulator of synergistic transcriptional responses which require direct interaction via LIM domains. Thus, NLI may regulate the transcriptional activity of LIM homeodomain proteins by determining specific partner interactions.
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Renjit, Sara, and Sumam Idicula. "Natural language inference for Malayalam language using language agnostic sentence representation." PeerJ Computer Science 7 (May 4, 2021): e508. http://dx.doi.org/10.7717/peerj-cs.508.

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Natural language inference (NLI) is an essential subtask in many natural language processing applications. It is a directional relationship from premise to hypothesis. A pair of texts is defined as entailed if a text infers its meaning from the other text. The NLI is also known as textual entailment recognition, and it recognizes entailed and contradictory sentences in various NLP systems like Question Answering, Summarization and Information retrieval systems. This paper describes the NLI problem attempted for a low resource Indian language Malayalam, the regional language of Kerala. More than 30 million people speak this language. The paper is about the Malayalam NLI dataset, named MaNLI dataset, and its application of NLI in Malayalam language using different models, namely Doc2Vec (paragraph vector), fastText, BERT (Bidirectional Encoder Representation from Transformers), and LASER (Language Agnostic Sentence Representation). Our work attempts NLI in two ways, as binary classification and as multiclass classification. For both the classifications, LASER outperformed the other techniques. For multiclass classification, NLI using LASER based sentence embedding technique outperformed the other techniques by a significant margin of 12% accuracy. There was also an accuracy improvement of 9% for LASER based NLI system for binary classification over the other techniques.
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Wang, Haohan, Da Sun, and Eric P. Xing. "What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7136–43. http://dx.doi.org/10.1609/aaai.v33i01.33017136.

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Nature language inference (NLI) task is a predictive task of determining the inference relationship of a pair of natural language sentences. With the increasing popularity of NLI, many state-of-the-art predictive models have been proposed with impressive performances. However, several works have noticed the statistical irregularities in the collected NLI data set that may result in an over-estimated performance of these models and proposed remedies. In this paper, we further investigate the statistical irregularities, what we refer as confounding factors, of the NLI data sets. With the belief that some NLI labels should preserve under swapping operations, we propose a simple yet effective way (swapping the two text fragments) of evaluating the NLI predictive models that naturally mitigate the observed problems. Further, we continue to train the predictive models with our swapping manner and propose to use the deviation of the model’s evaluation performances under different percentages of training text fragments to be swapped to describe the robustness of a predictive model. Our evaluation metrics leads to some interesting understandings of recent published NLI methods. Finally, we also apply the swapping operation on NLI models to see the effectiveness of this straightforward method in mitigating the confounding factor problems in training generic sentence embeddings for other NLP transfer tasks.
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Qu, Yinchun, and Junchao Wei. "Rings whose nilpotent elements form a Lie ideal." Studia Scientiarum Mathematicarum Hungarica 51, no. 2 (June 1, 2014): 271–84. http://dx.doi.org/10.1556/sscmath.51.2014.2.1279.

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A ring R is called NLI (rings whose nilpotent elements form a Lie ideal) if for each a ∈ N(R) and b ∈ R, ab − ba ∈ N(R). Clearly, NI rings are NLI. In this note, many properties of NLI rings are studied. The main results we obtain are the following: (1) NLI rings are directly finite and left min-abel; (2) If R is a NLI ring, then (a) R is a strongly regular ring if and only if R is a Von Neumann regular ring; (b) R is (weakly) exchange if and only if R is (weakly) clean; (c) R is a reduced ring if and only if R is a n-regular ring; (3) If R is a NLI left MC2 ring whose singular simple left modules are Wnil-injective, then R is reduced.
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Wang, Xiaoyan, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, et al. "Improving Natural Language Inference Using External Knowledge in the Science Questions Domain." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7208–15. http://dx.doi.org/10.1609/aaai.v33i01.33017208.

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Natural Language Inference (NLI) is fundamental to many Natural Language Processing (NLP) applications including semantic search and question answering. The NLI problem has gained significant attention due to the release of large scale, challenging datasets. Present approaches to the problem largely focus on learning-based methods that use only textual information in order to classify whether a given premise entails, contradicts, or is neutral with respect to a given hypothesis. Surprisingly, the use of methods based on structured knowledge – a central topic in artificial intelligence – has not received much attention vis-a-vis the NLI problem. While there are many open knowledge bases that contain various types of reasoning information, their use for NLI has not been well explored. To address this, we present a combination of techniques that harness external knowledge to improve performance on the NLI problem in the science questions domain. We present the results of applying our techniques on text, graph, and text-and-graph based models; and discuss the implications of using external knowledge to solve the NLI problem. Our model achieves close to state-of-the-art performance for NLI on the SciTail science questions dataset.
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Song, Meina, Wen Zhao, and E. HaiHong. "KGAnet: a knowledge graph attention network for enhancing natural language inference." Neural Computing and Applications 32, no. 18 (June 26, 2020): 14963–73. http://dx.doi.org/10.1007/s00521-020-04851-5.

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Abstract Natural language inference (NLI) is the basic task of many applications such as question answering and paraphrase recognition. Existing methods have solved the key issue of how the NLI model can benefit from external knowledge. Inspired by this, we attempt to further explore the following two problems: (1) how to make better use of external knowledge when the total amount of such knowledge is constant and (2) how to bring external knowledge to the NLI model more conveniently in the application scenario. In this paper, we propose a novel joint training framework that consists of a modified graph attention network, called the knowledge graph attention network, and an NLI model. We demonstrate that the proposed method outperforms the existing method which introduces external knowledge, and we improve the performance of multiple NLI models without additional external knowledge.
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Song, Haoyu, Wei-Nan Zhang, Jingwen Hu, and Ting Liu. "Generating Persona Consistent Dialogues by Exploiting Natural Language Inference." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 8878–85. http://dx.doi.org/10.1609/aaai.v34i05.6417.

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Consistency is one of the major challenges faced by dialogue agents. A human-like dialogue agent should not only respond naturally, but also maintain a consistent persona. In this paper, we exploit the advantages of natural language inference (NLI) technique to address the issue of generating persona consistent dialogues. Different from existing work that re-ranks the retrieved responses through an NLI model, we cast the task as a reinforcement learning problem and propose to exploit the NLI signals from response-persona pairs as rewards for the process of dialogue generation. Specifically, our generator employs an attention-based encoder-decoder to generate persona-based responses. Our evaluator consists of two components: an adversarially trained naturalness module and an NLI based consistency module. Moreover, we use another well-performed NLI model in the evaluation of persona-consistency. Experimental results on both human and automatic metrics, including the model-based consistency evaluation, demonstrate that the proposed approach outperforms strong generative baselines, especially in the persona-consistency of generated responses.
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Antoine, R., Ph Dugourd, D. Rayane, and M. Broyer. "Dissociation pathways and binding energies of (LiH)nLi+ and (LiH)nLi+3 clusters." Journal of Chemical Physics 104, no. 1 (January 1996): 110–19. http://dx.doi.org/10.1063/1.470880.

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Zhou, Kang, Qiao Qiao, Yuepei Li, and Qi Li. "Improving Distantly Supervised Relation Extraction by Natural Language Inference." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 11 (June 26, 2023): 14047–55. http://dx.doi.org/10.1609/aaai.v37i11.26644.

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To reduce human annotations for relation extraction (RE) tasks, distantly supervised approaches have been proposed, while struggling with low performance. In this work, we propose a novel DSRE-NLI framework, which considers both distant supervision from existing knowledge bases and indirect supervision from pretrained language models for other tasks. DSRE-NLI energizes an off-the-shelf natural language inference (NLI) engine with a semi-automatic relation verbalization (SARV) mechanism to provide indirect supervision and further consolidates the distant annotations to benefit multi-classification RE models. The NLI-based indirect supervision acquires only one relation verbalization template from humans as a semantically general template for each relationship, and then the template set is enriched by high-quality textual patterns automatically mined from the distantly annotated corpus. With two simple and effective data consolidation strategies, the quality of training data is substantially improved. Extensive experiments demonstrate that the proposed framework significantly improves the SOTA performance (up to 7.73% of F1) on distantly supervised RE benchmark datasets. Our code is available at https://github.com/kangISU/DSRE-NLI.
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Dissertations / Theses on the topic "NLI"

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Andrén, Samuel, and William Bolin. "NLIs over APIs : Evaluating Pattern Matching as a way of processing natural language for a simple API." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186429.

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This report explores of the feasibility of using pattern matching for implementing a robust Natural Language Interface (NLI) over a limited Application Programming Interface (API). Because APIs are used to such a great extent today and often in mobile applications, it becomes more important to find simple ways of making them accessible to end users. A very intuitive way to access information via an API is using natural language. Therefore, this study first explores the possibility of building a corpus of the most common phrases used for a particular API. It is then explored how those phrases adhere to patterns, and how these patterns can be used to extract meaning from a phrase. Finally it evaluates an implementation of an NLI using pattern matching system based on the patterns. The result of the building of the corpus shows that although the amount of unique phrases used with our API seems to increase quite steadily, the amount of patterns those phrases follow converges to a constant quickly. This implies that it is possible to use these patterns to create an NLI that is robust enough to query an API effectively. The evaluation of the pattern matching system indicates that this technique can be used to successfully extract information from a phrase if its pattern is known by the system.
Den här rapporten utforskar hur genomförbart det är att använda mönstermatchning för att implementera ett robust användargränssnitt för styrning med naturligt språk (Natural Language Interface, NLI) över en begränsad Application Programming Interface (API). Eftersom APIer används i stor utsträckning idag, ofta i mobila applikationer, har det blivit allt mer viktigt att hitta sätt att göra dem ännu mer tillgängliga för slutanvändare. Ett mycket intuitivt sätt att komma åt information är med hjälp av naturligt språk via en API. I den här rapporten redogörs först för möjligheten att bygga ett korpus för en viss API and att skapa mönster för mönstermatchning på det korpuset. Därefter utvärderas en implementation av ett NLI som bygger på mönstermatchning med hjälp av korpuset. Resultatet av korpusuppbyggnaden visar att trots att antalet unika fraser som används för vårt API ökar ganska stadigt, så konvergerar antalat mönster på de fraserna relativt snabbt mot en konstant. Detta antyder att det är mycket möjligt att använda desssa mönster för att skapa en NLI som är robust nog för en API. Utvärderingen av implementationen av mönstermatchingssystemet antyder att tekniken kan användas för att framgångsrikt extrahera information från fraser om mönstret frasen följer finns i systemet.
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Lando, Emilio, and Jakob Bank. "NLI-spel som läromedel : En undersökning om NLI-spels effektivitet inom utbildning i jämförelse med vanligt läsande för elever i åldrarna 10-15 år." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166729.

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Låg motivation och dåliga resultat i skolan är ett problem idag. Syftetmed denna studie var att undersöka om lärande med hjälp av ettNLI-spel är effektivare inom utbildning än vanligt läsande för barnoch ungdomar mellan 10 och 15 år. Detta undersöktes genom attjämföra inlärning via ett NLI-spel och inlärning via läsning där bådespelet och texten innehåller exakt samma fakta. Jämförelsen gjordesvia ett teoretiskt prov där de två gruppernas resultat analyserades.Resultatet var lyckat och gruppen som spelade spelet hade igenomsnitt fler rätt på provet än de som läste. På grund av fåtestpersoner i målgruppen gjordes en komplettering med vuxnatestpersoner för att öka korrektheten av resultatet. Det generellaresultatet förblev detsamma och inlärning via spel var fördelaktigt,dock var skillnaden betydligt mindre för de vuxna testpersonerna. Endragen slutsats är att detta tillvägagångssätt inom utbildning är bästlämpat för barn och ungdomar där läsning och teoretisk inlärning äromotiverande och tråkigt.
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Jurata, Linda Wagner. "Identification and analysis of the nuclear LIM domain interactor NLI /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1998. http://wwwlib.umi.com/cr/ucsd/fullcit?p9904815.

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Pearce, Wendy Maureen, and wendy pearce@jcu edu au. "The Role of Morphosyntax and Oral Narrative in the Differential Diagnosis of Specific Language Impairment." Flinders University. Medicine (Dept of Speech Pathology & Audiology), 2007. http://catalogue.flinders.edu.au./local/adt/public/adt-SFU20070220.174901.

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Against the background of a broad range of language features that are identified as characteristic of specific language impairment (SLI), some researchers have identified a narrower set of clinical markers considered the hallmark of SLI. However, comparisons with language impairments that fall outside the criteria for SLI are limited. This thesis is concerned with determining which language features, if any, are capable of differentiating children with SLI from children with non-specific language impairment (NLI). Conversation and oral narrative language samples were collected from seventy five children aged 2 ½ to 6 years comprising four research groups: 21 participants with SLI, 13 participants with NLI, 21 age-matched participants with normally developing language (AM) and 20 younger language-matched participants with normally developing language (LM). Matching for group comparisons required that the SLI and NLI groups had similar levels of language ability on a standardised assessment and mean length of utterance (MLU), which reduced the SLI group to 15 participants for these comparisons. The LM group was also matched to the SLI and NLI groups on MLU. A wide range of language variables from the conversation and narrative samples were analysed, covering the domains of general sample measures, morphosyntactic accuracy and complexity, narrative structure and cohesion. The SLI and NLI groups performed similarly in all domains and could not be differentiated diagnostically on the measures examined. The most consistent group effects were for comparisons between the AM and LM groups, which demonstrated the effects of maturation and development. The language impairment (LI) and LM groups could not be differentiated on the majority of general language sample or morphosyntactic measures but the SLI group produced narratives that were structurally more complex and cohesive than the LM group. Language tasks varied in their effectiveness in differentiating groups. More consistent group effects for the grammatical accuracy measures were obtained from the conversations than the narratives, and from composite measures compared to individual morpheme measures. Targeted elicitation tasks were more effective than the conversations or narratives in producing consistent group effects for accuracy of individual verb tense morphemes. More consistent group effects for the narrative features were obtained from a wordless picture book than a single scene picture. A set of discriminant function analyses showed that LI was most effectively identified using a combination of key morphosyntactic measures from the conversations and key narrative feature measures from the two narratives. The results have implications for diagnostic practices, intervention practices and theoretical constructs and explanations of SLI and NLI. In particular, a broad, holistic view of LI is supported, as an impairment that impacts on all domains of language which interact with each other and must be considered collectively, rather than as individual, splintered skills.
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Nilsson, Pontus, and Wilhelm Öhman. "Natural Language Interfaces in Computer Games : A study of NLI accuracy in Risk." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186865.

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Developing a Natural Language Interface that can understand everything is a very challenging task due to the varied and ambiguous nature of natural language. However, when confined to a small setting, would it be possible to develop an NLI that through repeated iterations can reach perfect understanding? The chosen setting was Risk and was created in Java. The game used Regex to detect certain key elements in the input and interpreted them accordingly. User studies were used to determine the accuracy of the NLI and based on the incorrectly interpreted input the game was improved upon. This was iterated three times. The conclusion was that, while it would be difficult to have the NLI reach a completely perfect understanding, it is possible to achieve precision close to that.
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RODRIGUEZ, RAFAEL MARTINEZ. "STUDY OF THE STABLE AND METASTABLE (LIF)NLI+ ION EMISSION INDUCED BY 252CF FISSION FRAGMENTS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2003. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=4384@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
Um espectrômetro de massa por tempo-de-vôo 252Cf-PDMS foi empregado para a realização de três atividades: a) o aperfeiçoamento do espectrômetro com a instalação de novos dispositivos; b) a análise da emissão secundária de agregados iônicos por um alvo de LiF; c) a análise da fragmentação em vôo de íons positivos (LiF)nLi+ metaestáveis. O aperfeiçoamento do espectrômetro consistiu: i) na blindagem elétrica do detector start para aumentar a sua estabilidade; ii) na caracterização de dois pares de placas defletoras já existentes; iii) na instalação de um novo tipo de detector sensível à posição com anodo multi-fios, e iv) no projeto e na instalação de uma lente Einzel para aumentar a transmissão de íons secundários entre a amostra e o detector. A emissão secundária de agregados iônicos por um filme de LiF policristalino, bombardeado por fragmentos de fissão de ~ 60 MeV foi analisada através da técnica tempo-de-vôo (TOF). O detector sensível à posição recém instalado permite o emprego da técnica XY-TOF para analisar distribuições angulares de íons Li e dos agregados (LiF)nLi+. Determinaram-se as distribuições angulares dos agregados com n = 0 a 3, através de medidas simultâneas de suas velocidades axiais e radiais, evento por evento. A vida media de íons metaestáveis (LiF)nLi+* é determinada fazendo uso da configuração do espectrômetro e especialmente do comprimento do tubo de vôo livre. Após serem emitidas, as espécies iônicas metaestáveis monocarregadas são aceleradas por um campo elétrico da ordem de 2 kV/mm, e conduzidas a uma região de campo externo nulo, onde podem se dissociar espontaneamente em um fragmento iônico e outro neutro. Para facilitar a analise dos dados, impede-se a detecção do fragmento iônico através de um filtro eletrostático. Foram analisados os agregados iônicos com n = 1 a 5. Encontrouse que os valores das vidas medias estão na faixa de 30 a 100 ns. Discute-se também a detecção de espécies neutras produzidas por colisão de agregados (LiF)nLi+ com moléculas de gás residual.
A 252Cf-PDMS time-of-flight mass spectrometer was used for the accomplishment of three activities: a) improvement of the spectrometer by introducing new devices; b) analysis of the LiF cluster ion secondary emission; c) analysis of the (LiF)nLi+ metastable íon fragmentation, in flight. The spectrometer improvement consists of: i) the shielding of the start detector to increase its stability, ii) the characterization of two existing deflecting- plate pairs, iii) the installation of a new type of position-sensitive delay line detector for secundary ions, and iv) the project and manufacture of a Einzel lens to increase the transmission of the secondary íons between the sample and the detector. The secondary cluster ion emission of policrystalline LiF, induced by the impact of fission fragments (60 MeV), is analyzed by the time-of-flight technique (TOF). The new position sensitive delay-line detector allows the use of the XY-TOF technique to analyze angular distributions of Li ions and (LiF)nLi+ clusters. Event by event, their axial and radial velocities are measured simultaneously, allowing the angular distributions measurement of clusters with n = 0 to 3. Mean lives of metastable clusters are determined through the measurement of the detection rate dependence on the target bias. After been emitted, the monocharged metatable ions are acelerated by a 2 kV/mm electric field towards a field-free region, where they can spontaneously dissociateinto two fragments, one ion and another neutral. To facilitate the data analysis, it is avoided the detection of ionic fragments by placing an electrostatic filter in front of the detector. Mean lives values of 30 to 100 ns are determined for ionic clusters with n = 1 to 5. The production of neutral species by collision of the (LiF)nLi+ clusters with the gas molecules is also discussed.
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Kalouli, Aikaterini-Lida [Verfasser]. "Hy-NLI : a Hybrid system for state-of-the-art Natural Language Inference / Aikaterini-Lida Kalouli." Konstanz : KOPS Universität Konstanz, 2021. http://d-nb.info/1233203029/34.

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Kobeissi, Meriana. "A conversational AI Framework for Cognitive Process Analysis." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAS025.

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Les processus métier (BP) sont les piliers fondamentaux des organisations, englobant toute une gamme d'activités structurées visant à atteindre des objectifs organisationnels distincts. Ces processus, caractérisés par une multitude de tâches, d'interactions et de flux de travail, offrent une méthodologie structurée pour superviser les opérations cruciales dans divers secteurs. Une découverte essentielle pour les organisations a été la reconnaissance de la valeur profonde inhérente aux données produites pendant ces processus. L'analyse des processus, une discipline spécialisée, explore ces journaux de données, facilitant une compréhension plus profonde et l'amélioration des BP. Cette analyse peut être catégorisée en deux perspectives : le niveau d'instance, qui se concentre sur les exécutions individuelles de processus, et le niveau de processus, qui examine le processus global.Cependant, l'application de l'analyse des processus pose des défis aux utilisateurs, impliquant la nécessité d'accéder aux données, de naviguer dans les API de bas niveau et d'utiliser des méthodes dépendantes d'outils. L'application dans le monde réel rencontre souvent des complexités et des obstacles centrés sur l'utilisateur.Plus précisément, l'analyse de niveau d'instance exige des utilisateurs qu'ils accèdent aux données d'exécution de processus stockées, une tâche qui peut être complexe pour les professionnels de l'entreprise en raison de l'exigence de maîtriser des langages de requête complexes tels que SQL et CYPHER. En revanche, l'analyse de niveau de processus des données de processus implique l'utilisation de méthodes et d'algorithmes qui exploitent les données d'exécution de processus extraites des systèmes d'information. Ces méthodologies sont regroupées sous le terme de techniques d'exploration de processus. L'application de l'exploration de processus confronte les analystes à la tâche complexe de sélection de méthodes, qui consiste à trier des descriptions de méthodes non structurées. De plus, l'application des méthodes d'exploration de processus dépend d'outils spécifiques et nécessite un certain niveau d'expertise technique.Pour relever ces défis, cette thèse présente des solutions basées sur l'IA, mettant l'accent sur l'intégration de capacités cognitives dans l'analyse des processus pour faciliter les tâches d'analyse tant au niveau de l'instance qu'au niveau du processus pour tous les utilisateurs. Les objectifs principaux sont doubles : premièrement, améliorer l'accessibilité des données d'exécution de processus en créant une interface capable de construire automatiquement la requête de base correspondante à partir du langage naturel. Ceci est complété par la proposition d'une technique de stockage adaptée et d'un langage de requête autour desquels l'interface doit être conçue. À cet égard, nous introduisons un méta-modèle graphique basé sur le graphe de propriétés étiquetées (LPG) pour le stockage efficace des données. Deuxièmement, pour rationaliser la découverte et l'accessibilité des techniques d'exploration de processus, nous présentons une architecture orientée services.Pour valider notre méta-modèle graphique, nous avons utilisé deux ensembles de données de processus accessibles au public disponibles à la fois au format CSV et OCEL. Ces ensembles de données ont été essentiels pour évaluer les performances de notre pipeline de requêtes en langage naturel. Nous avons recueilli des requêtes en langage naturel auprès d'utilisateurs externes et en avons généré d'autres à l'aide d'outils de paraphrase. Notre cadre orienté services a été évalué à l'aide de requêtes en langage naturel spécialement conçues pour les descriptions de services d'exploration de processus. De plus, nous avons mené une étude de cas avec des participants externes pour évaluer l'expérience utilisateur et recueillir des commentaires. Nous fournissons publiquement les résultats de l'évaluation pour garantir la reproductibilité dans le domaine étudié
Business processes (BP) are the foundational pillars of organizations, encapsulating a range of structured activities aimed at fulfilling distinct organizational objectives. These processes, characterized by a plethora of tasks, interactions, and workflows, offer a structured methodology for overseeing crucial operations across diverse sectors. A pivotal insight for organizations has been the discernment of the profound value inherent in the data produced during these processes. Process analysis, a specialized discipline, ventures into these data logs, facilitating a deeper comprehension and enhancement of BPs. This analysis can be categorized into two perspectives: instance-level, which focuses on individual process executions, and process-level, which examines the overarching process.However, applying process analysis in practice poses challenges for users, involving the need to access data, navigate low-level APIs, and employ tool-dependent methods. Real-world application often encounters complexities and user-centric obstacles.Specifically, instance-level analysis demands users to access stored process execution data, a task that can be intricate for business professionals due to the requirement of mastering complex query languages like SQL and CYPHER. Conversely, process-level analysis of process data involves the utilization of methods and algorithms that harness process execution data extracted from information systems. These methodologies collectively fall under the umbrella of process mining techniques. The application of process mining confronts analysts with the intricate task of method selection, which involves sifting through unstructured method descriptions. Additionally, the application of process mining methods depends on specific tools and necessitates a certain level of technical expertise.To address these challenges, this thesis introduces AI-driven solutions, with a focus on integrating cognitive capabilities into process analysis to facilitate analysis tasks at both the instance level and the process level for all users. The primary objectives are twofold: Firstly, to enhance the accessibility of process execution data by creating an interface capable of automatically constructing the corresponding database query from natural language. This is complemented by proposing a suitable storage technique and query language that the interface should be designed around. In this regard, we introduce a graph metamodel based on Labeled Property Graph (LPG) for efficient data storage. Secondly, to streamline the discovery and accessibility of process mining techniques, we present a service-oriented architecture. This architecture comprises three core components: an LPG meta-model detailing process mining methods, a service-oriented REST API design tailored for these methods, and a component adept at matching user requirements expressed in natural language with appropriate services.For the validation of our graph metamodel, we utilized two publicly accessible process datasets available in both CSV and OCEL formats. These datasets were instrumental in evaluating the performance of our NL querying pipeline. We gathered NL queries from external users and produced additional ones through paraphrasing tools. Our service-oriented framework underwent an assessment using NL queries specifically designed for process mining service descriptions. Additionally, we carried out a use case study with external participants to evaluate user experience and to gather feedback. We publically provide the evaluation results to ensure reproducibility in the studied area
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Acharya, Jaldeep, and Ludvig Fröberg. "A comparison of interfaces in choice driven games : Investigating possible future applications of NLIs in choice driven games by comparing a menu- based interface with an NLI in a text-based game." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186523.

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Natural language processing has for a long time been a field of research and has been regarded as a thing of the future. Due to its complexity it stopped being featured in computer games in the early 2000s. It has however had a recent revival as a consequence of advancements made in speech recognition, making the possible applications of natural language processing much larger. One market that hasn’t seen much in the way of natural language interfaces recently is that of computer games. This report covers the basics of natural language processing needed to implement two versions of a simple text-based adventure game, one with a menu-based interface and one with a natural lan- guage interface. These were then played by a test group from which usability statistics were gathered to determine if it is likely that NLP will find its way back in to choice driven games in the future. The results showed that even though the menu-based interface has a faster rate of progression, the NLI version of the game was perceived as more enjoyable by users with experience in gaming. The reason being that the NLI al- lowed for more thinking on the user’s part and therefore the game presented a greater challenge, something that is perceived as attractive by users with experience in com- puter games. Also the measured usability was roughly the same for both interfaces while it was feared that it would be much lower for NLIs. Therefore, the conclusion was that it is highly plausible that NLI will find its way back into the gaming world, since it adds a new dimension to adventure games, which is something that attracts users. However, this is given that NLP development continues in the same fast pace as it is today, making it possible to implement a more accurate NLI.
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Pfeil, Jonathan W. "Algorithms and Resources for Scalable Natural Language Generation." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1465469914.

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Books on the topic "NLI"

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institutt, Norsk lokalhistorisk. Råd, ressurs og rettleiing: NLI gjennom 50 år. Oslo: Norsk lokalhistorisk institutt, 2006.

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Nabavi, Ibrahim. Nabavi a nli n: Dabilyu dabilyu dabilyu da t ka m. Tehran: Ruzanah, 2002.

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NLI Conference (2nd 1996 University of Maryland University College. National Leadership Institute). The 1996 NLI conference: Leaders & change : September 26 and 27, 1996. College Park, MD (University Blvd. at Adelphi Rd., College Park 20742-1668): The Institute, 1996.

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Virgil. Verse travesty in restoration Ireland: "Purgatorium hibernicum" (NLI, MS 470), with "The Fingallian travesty" (BL, Sloane 900). Dublin, Ireland: Irish Manuscripts Commission, 2013.

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London 2012: Sustainable design : delivering a games legacy. Chichester: John Wiley & Sons, 2012.

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Garzarolli, Piero De. Dicono di noi: L'Italia nei grandi giornali stranieri. Roma: Laterza, 1992.

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Noi nei lager: Testimonianze di militari italiani internati nei campi nazisti (1943- 1945). Milano: Paoline, 2008.

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Baus, Tobias, and Katharina Kemmer. Der Deutsche Orden auf dem Konstanzer Konzil: Pläne - Strategien - Erwartungen. Ilmtal-Weinstrasse: VDG, 2020.

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Ru ye nei mu: Zhongguo nai ye de jiang hu. Hangzhou Shi: Zhejiang ren min chu ban she, 2012.

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The church of the ancient councils: The disciplinary work of the first four ecumenical councils. Crestwood, N.Y: St. Vladimir's Seminary Press, 1996.

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Book chapters on the topic "NLI"

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Lin, Jieyu, Wei Liu, Jiajie Zou, and Nai Ding. "Training NLI Models Through Universal Adversarial Attack." In Lecture Notes in Computer Science, 306–24. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6207-5_19.

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Murillo-Morales, Tomas, and Klaus Miesenberger. "AUDiaL: A Natural Language Interface to Make Statistical Charts Accessible to Blind Persons." In Lecture Notes in Computer Science, 373–84. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58796-3_44.

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AbstractThis paper discusses the design and evaluation of AUDiaL (Accessible Universal Diagrams through Language). AUDiaL is a web-based, accessible natural language interface (NLI) prototype that allows blind persons to access statistical charts, such as bar and line charts, by means of free-formed analytical and navigational queries expressed in natural language. Initial evaluation shows that NLIs are an innovative, promising approach to accessibility of knowledge representation graphics, since, as opposed to traditional approaches, they do not require of additional software/hardware nor user training while allowing users to carry out most tasks commonly supported by data visualization techniques in an efficient, natural manner.
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Gajbhiye, Amit, Thomas Winterbottom, Noura Al Moubayed, and Steven Bradley. "Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models." In Artificial Neural Networks and Machine Learning – ICANN 2020, 633–46. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61609-0_50.

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Marques, Tiffany, Rita Santos, Jorge Abreu, Pedro Beça, Telmo Silva, and Pedro Almeida. "A Process for Gathering Data to Train the NLU Module of a NLI System for ITV." In Communications in Computer and Information Science, 133–47. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-22210-8_9.

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Yu, Dong, Lu Liu, Chen Yu, and Changliang Li. "Testing the Reasoning Power for NLI Models with Annotated Multi-perspective Entailment Dataset." In Lecture Notes in Computer Science, 15–26. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32381-3_2.

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Alghamdi, Abdullah, Majdi Owda, and Keeley Crockett. "Natural Language Interface to Relational Database (NLI-RDB) Through Object Relational Mapping (ORM)." In Advances in Intelligent Systems and Computing, 449–64. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46562-3_29.

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Böttger, Hellfried, Hermann Helbig, Frank Ficker, and Frank Zänker. "Parallelen zwischen den Komponenten des natürlichsprachlichen Interfaces NLI-AIDOS und dem zugrundeliegenden Informationsrecherchesystem." In Verteilte Künstliche Intelligenz und kooperatives Arbeiten, 207–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76980-1_19.

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Jakubowska, Weronika, Magdalena Kociołek, and Dominik Kurowski. "Detection of Conspiracy Theories from Tweets Using NLI-Based Zero Shot Text Classification Models." In Lecture Notes in Networks and Systems, 193–200. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-41630-9_19.

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Mazidi, Karen, and Paul Tarau. "Automatic Question Generation: From NLU to NLG." In Intelligent Tutoring Systems, 23–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39583-8_3.

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Kabel, Peter. "Was sind NLP und NLG und wie funktionieren sie?" In Dialog zwischen Mensch und Maschine, 39–63. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-29585-1_4.

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Conference papers on the topic "NLI"

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Kalouli, Aikaterini-Lida, Livy Real, Annebeth Buis, Martha Palmer, and Valeria de Paiva. "Annotation Difficulties in Natural Language Inference." In Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/stil.2021.17804.

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State-of-the-art models have obtained high accuracy on mainstream Natural Language Inference (NLI) datasets. However, recent research has suggested that the task is far from solved. Current models struggle to generalize and fail to consider the inherent human disagreements in tasks such as NLI. In this work, we conduct an experiment based on a small subset of the NLI corpora such as SNLI and SICK. It reveals that some inference cases are inherently harder to annotate than others, although good-quality guidelines can reduce this difficulty to some extent. We propose adding a Difficulty Score to NLI datasets, to capture the human difficulty level of agreement.
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Bauer, Lisa, Lingjia Deng, and Mohit Bansal. "ERNIE-NLI: Analyzing the Impact of Domain-Specific External Knowledge on Enhanced Representations for NLI." In Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.deelio-1.7.

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Remnev, N. V. "NATIVE LANGUAGE IDENTIFICATION FOR RUSSIAN USING ERRORS TYPES." In International Conference on Computational Linguistics and Intellectual Technologies "Dialogue". Russian State University for the Humanities, 2020. http://dx.doi.org/10.28995/2075-7182-2020-19-1123-1133.

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The task of recognizing the author’s native (Native Language Identification—NLI) language based on a texts, written in a language that is non-native to the author—is the task of automatically recognizing native language (L1). The NLI task was studied in detail for the English language, and two shared tasks were conducted in 2013 and 2017, where TOEFL English essays and essay samples were used as data. There is also a small number of works where the NLI problem was solved for other languages. The NLI problem was investigated for Russian by Ladygina (2017) and Remnev (2019). This paper discusses the use of well-established approaches in the NLI Shared Task 2013 and 2017 competitions to solve the problem of recognizing the author’s native language, as well as to recognize the type of speaker—learners of Russian or Heritage Russian speakers. Native language identification task is also solved based on the types of errors specific to different languages. This study is data-driven and is possible thanks to the Russian Learner Corpus developed by the Higher School of Economics (HSE) Learner Russian Research Group on the basis of which experiments are being conducted.
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Li, Xiaoying, Nan Huo, Jiamin Li, Liang Cui, Xueshi Guo, and Z. Y. Ou. "Quantum Enhanced Measurement Using SU(1,1) Nonlinear Interferometers." In Frontiers in Optics. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/fio.2022.fm3b.2.

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SU(1,1) nonlinear interferometer (NLI) employs parametric amplifiers as the wave splitting and mixing elements. We show the applications of NLI in multi-parameter measurement, in phase measurement and in loss-tolerant measurement of continuous variable entanglement.
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Rozanova, Julia, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, and Andre Freitas. "Decomposing Natural Logic Inferences for Neural NLI." In Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.blackboxnlp-1.33.

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Chen, Jifan, Eunsol Choi, and Greg Durrett. "Can NLI Models Verify QA Systems’ Predictions?" In Findings of the Association for Computational Linguistics: EMNLP 2021. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.findings-emnlp.324.

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Alameldin, Ahamed, and Ashton Williamson. "Clemson NLP at SemEval-2023 Task 7: Applying GatorTron to Multi-Evidence Clinical NLI." In Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023). Stroudsburg, PA, USA: Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.semeval-1.220.

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Yanaka, Hitomi, Koji Mineshima, and Kentaro Inui. "Exploring Transitivity in Neural NLI Models through Veridicality." In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.eacl-main.78.

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Ross, Alexis, and Ellie Pavlick. "How well do NLI models capture verb veridicality?" In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1228.

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Dusek, Roman, Aleksander Wawer, Christopher Galias, and Lidia Wojciechowska. "Improving Domain-Specific Retrieval by NLI Fine-Tuning." In 18th Conference on Computer Science and Intelligence Systems. IEEE, 2023. http://dx.doi.org/10.15439/2023f7569.

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Reports on the topic "NLI"

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Ciriyawa, Ana, Rosi K. Batibasaga, Fareea Ma, Sangeeta Mangubhai, and Vutaieli B. Vitukawalu. Nai vola dusidusi ni kena susu na qari e dau qolivi mai. Wildlife Conservation Society, 2021. http://dx.doi.org/10.19121/2021.report.39873.

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Ciriyawa, Ana, Rosi K. Batibasaga, Fareea Ma, and Vutaieli B. Vitukawalu. Nai vola dusidusi ni kena maroroi vakavinaka na ika ena gauna e rawati mai kina. Wildlife Conservation Society, 2021. http://dx.doi.org/10.19121/2021.report.39870.

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Acton, Gerard, Rosi K. Batibasaga, Akanisi Caginitoba, Sirilo Dulunaqio, Stacy Jupiter, Kini Koto, and Sangeeta Mangubhai. Nai Vola Dusidusi ni Veituberi kei na Veiqaravi ka Yavutaki ena Veimaliwai ni Veika Bula kei na Vanua era Bula kina ena noda Viti. Wildlife Conservation Society, 2021. http://dx.doi.org/10.19121/2021.report.39876.

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Krivosheev, O. E., N. V. Mokhov, and S. I. Striganov. NLC positron production target. Office of Scientific and Technical Information (OSTI), March 1996. http://dx.doi.org/10.2172/214308.

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Stutte, L. NCI dichromatic beam tests. Office of Scientific and Technical Information (OSTI), March 1986. http://dx.doi.org/10.2172/5970664.

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Raimondi, P. New NLC Final Focus. Office of Scientific and Technical Information (OSTI), October 2004. http://dx.doi.org/10.2172/839955.

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Krivosheev, O. E., N. V. Mokhov, and S. I. Striganov. NLC positron production target. Office of Scientific and Technical Information (OSTI), May 1996. http://dx.doi.org/10.2172/238439.

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Nosochkov, Y. NLC extraction line studies. Office of Scientific and Technical Information (OSTI), December 1999. http://dx.doi.org/10.2172/753240.

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Saller, Thomas. Release of NDI 2.2.0beta. Office of Scientific and Technical Information (OSTI), October 2021. http://dx.doi.org/10.2172/1828688.

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von Speyr, Adrienne. La risurrezione in noi. Saint John Publications, 2022. http://dx.doi.org/10.56154/ur.

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