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Thematische Bibliographien / Dependency Minimal Recursion Semantics

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Auswahl der wissenschaftlichen Literatur zum Thema „Dependency Minimal Recursion Semantics“

Autor: Grafiati

Veröffentlicht am 25. Mai 2024

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Zeitschriftenartikel zum Thema "Dependency Minimal Recursion Semantics"

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Copestake, Ann, Dan Flickinger, Carl Pollard, and Ivan A. Sag. "Minimal Recursion Semantics: An Introduction." Research on Language and Computation 3, no. 2-3 (2005): 281–332. http://dx.doi.org/10.1007/s11168-006-6327-9.

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Egg, M. "Wh-questions in underspecified minimal recursion semantics." Journal of Semantics 15, no. 1 (1998): 37–82. http://dx.doi.org/10.1093/jos/15.1.37.

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Jørgensen, Fredrik, and Jan Tore Lønning. "A Minimal Recursion Semantic Analysis of Locatives." Computational Linguistics 35, no. 2 (2009): 229–70. http://dx.doi.org/10.1162/coli.06-69-prep5.

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The article describes a pilot implementation of a grammar containing different types of locative PPs. In particular, we investigate the distinction between static and directional locatives, and between different types of directional locatives. Locatives may act as modifiers as well as referring expressions depending on the syntactic context. We handle this with a single lexical entry. The implementation is of Norwegian locatives, but English locatives are both discussed and compared to Norwegian locatives. The semantic analysis is based on a proposal by Markus Kracht (2002), and we show how th

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Manshadi, Mehdi, Daniel Gildea, and James F. Allen. "A Notion of Semantic Coherence for Underspecified Semantic Representation." Computational Linguistics 44, no. 1 (2018): 39–83. http://dx.doi.org/10.1162/coli_a_00307.

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The general problem of finding satisfying solutions to constraint-based underspecified representations of quantifier scope is NP-complete. Existing frameworks, including Dominance Graphs, Minimal Recursion Semantics, and Hole Semantics, have struggled to balance expressivity and tractability in order to cover real natural language sentences with efficient algorithms. We address this trade-off with a general principle of coherence, which requires that every variable introduced in the domain of discourse must contribute to the overall semantics of the sentence. We show that every underspecified

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Yao, Xuchen, Gosse Bouma, and Yi Zhang. "Semantics-based Question Generation and Implementation." Dialogue & Discourse 3, no. 2 (2012): 11–42. http://dx.doi.org/10.5087/dad.2012.202.

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This paper presents a question generation system based on the approach of semantic rewriting. The state-of-the-art deep linguistic parsing and generation tools are employed to convert (back and forth) between the natural language sentences and their meaning representations in the form of Minimal Recursion Semantics (MRS). By carefully operating on the semantic structures, we show a principled way of generating questions without ad-hoc manipulation of the syntactic structures. Based on the (partial) understanding of the sentence meaning, the system generates questions which are semantically gro

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Abo Khamis, Mahmoud, Hung Q. Ngo, Reinhard Pichler, Dan Suciu, and Yisu Remy Wang. "Convergence of Datalog over (Pre-) Semirings." ACM SIGMOD Record 52, no. 1 (2023): 75–82. http://dx.doi.org/10.1145/3604437.3604454.

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Recursive queries have been traditionally studied in the framework of datalog, a language that restricts recursion to monotone queries over sets, which is guaranteed to converge in polynomial time in the size of the input. But modern big data systems require recursive computations beyond the Boolean space. In this paper we study the convergence of datalog when it is interpreted over an arbitrary semiring. We consider an ordered semiring, define the semantics of a datalog program as a least fixpoint in this semiring, and study the number of steps required to reach that fixpoint, if ever. We ide

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Simov, Kiril, and Petya Osenova. "Special Thematic Section on Semantic Models for Natural Language Processing (Preface)." Cybernetics and Information Technologies 18, no. 1 (2018): 93–94. http://dx.doi.org/10.2478/cait-2018-0008.

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Abstract With the availability of large language data online, cross-linked lexical resources (such as BabelNet, Predicate Matrix and UBY) and semantically annotated corpora (SemCor, OntoNotes, etc.), more and more applications in Natural Language Processing (NLP) have started to exploit various semantic models. The semantic models have been created on the base of LSA, clustering, word embeddings, deep learning, neural networks, etc., and abstract logical forms, such as Minimal Recursion Semantics (MRS) or Abstract Meaning Representation (AMR), etc. Additionally, the Linguistic Linked Open Data

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VOLIOTIS, C., N. M. SGOUROS, and G. PAPAKONSTANTINOU. "ATTRIBUTE GRAMMAR BASED MODELING OF CONCURRENT CONSTRAINT LOGIC PROGRAMMING." International Journal on Artificial Intelligence Tools 04, no. 03 (1995): 383–411. http://dx.doi.org/10.1142/s021821309500019x.

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The development of more powerful Concurrent Constraint Logic Programming (CCLP) languages depends largely on the development of environments that facilitate the specification and integration of constraints in the semantics of a logic program and automatically extract the inherent parallelism of Logic Programming. This paper presents a novel method for automating the parallel AND/OR execution of CCLP applications. This method consists of two stages. The first stage translates a logic program into an equivalent Attribute Grammar providing a common language in which the specifications of constrai

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Prokopaki-Kostopoulou, Nefeli, and Stasinos Konstantopoulos. "Optimizing within-distance queries by approximating shapes with maximal bounded boxes." Open Research Europe 2 (May 9, 2022): 57. http://dx.doi.org/10.12688/openreseurope.14321.1.

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Background: In geospatial query processing, spatial containment and intersection queries can be efficiently answered from the index. There is, however, a class of queries (such as within-distance) with a semantics that implies that every shape in the database is a potential match and should, in principle, be compared with the threshold. Naturally, this is impractical and optimizations have been developed that efficiently refine the set of candidate shapes before starting to actually compute distances and apply the threshold. In the case of the within-distance queries, many instances can be dis

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Frank, Anette, Kathrin Spreyer, Witold Drożdżyński, Hans-Ulrich Krieger, and Ulrich Schäfer. "Constraint-based RMRS construction from shallow grammars." Proceedings of the International Conference on Head-Driven Phrase Structure Grammar, October 1, 2004. http://dx.doi.org/10.21248/hpsg.2004.22.

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We present a constraint-based syntax-semantics interface for the construction of RMRS (Robust Minimal Recursion Semantics) representations from shallow grammars. The architecture is designed to allow modular interfaces to existing shallow grammars of various depth - ranging from chunk grammars to context-free stochastic grammars. We define modular semantics construction principles in a typed feature structure formalism that allow flexible adaptation to alternative grammars and different languages.

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Dissertationen zum Thema "Dependency Minimal Recursion Semantics"

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Hijazi, Rita. "Simplification syntaxique de textes à base de représentations sémantiques exprimées avec le formalisme Dependency Minimal Recursion Semantics (DMRS)." Electronic Thesis or Diss., Aix-Marseille, 2022. http://theses.univ-amu.fr.lama.univ-amu.fr/221214_HIJAZI_602vzfxdu139bxtesm225byk629aeqyvw_TH.pdf.

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La simplification de textes consiste à transformer un texte en une version plus simple à lire et/ou à comprendre et plus accessible à un public cible, tout en conservant son information, son contenu et son sens originaux. Cette thèse se concentre sur la simplification syntaxique de textes en anglais, une tâche pour laquelle les systèmes automatiques existants présentent certaines limites. Pour les dépasser, nous proposons tout d’abord une nouvelle méthode de simplification syntaxique exploitant des dépendances sémantiques exprimées en DMRS (Dependency Minimal Recursion Semantics), une représen

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Emerson, Guy Edward Toh. "Functional distributional semantics : learning linguistically informed representations from a precisely annotated corpus." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/284882.

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The aim of distributional semantics is to design computational techniques that can automatically learn the meanings of words from a body of text. The twin challenges are: how do we represent meaning, and how do we learn these representations? The current state of the art is to represent meanings as vectors - but vectors do not correspond to any traditional notion of meaning. In particular, there is no way to talk about 'truth', a crucial concept in logic and formal semantics. In this thesis, I develop a framework for distributional semantics which answers this challenge. The meaning of a word

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Stymne, Sara. "Swedish-English Verb Frame Divergences in a Bilingual Head-driven Phrase Structure Grammar for Machine Translation." Thesis, Linköping University, Department of Computer and Information Science, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-6708.

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<p>In this thesis I have investigated verb frame divergences in a bilingual Head-driven Phrase Structure Grammar for machine translation. The purpose was threefold: (1) to describe and classify verb frame divergences (VFDs) between Swedish and English, (2) to practically implement a bilingual grammar that covered many of the identified VFDs and (3) to find out what cases of VFDs could be solved and implemented using a common semantic representation, or interlingua, for Swedish and English.</p><p>The implemented grammar, BiTSE, is a Head-driven Phrase Structure Grammar based on the LinGO Gramma

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Jakob, Max. "Mapping the Prague Dependency Treebank Annotation Scheme onto Robust Minimal Recursion Semantics." Master's thesis, 2010. http://www.nusl.cz/ntk/nusl-286253.

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This thesis investigates the correspondence between two semantic formalisms, namely the tectogrammatical layer of the Prague Dependency Treebank 2.0 (PDT) and Robust Minimal Recursion Semantics (RMRS). It is a rst attempt to relate the dependency based annotation scheme of PDT to a compositional semantics approach like RMRS. An iterative mapping algorithm that converts PDT trees into RMRS structures is developed that associates RMRSs to each node in the dependency tree. Therefore, composition rules are formulated and the complex relation between dependency in PDT and semantic heads in RMRS is

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Bücher zum Thema "Dependency Minimal Recursion Semantics"

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Thater, Stefan. Minimal recursion semantics as dominance constraints: Graph-theoretic foundation and application to grammar engineering. Universität des Saarlandes, 2007.

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Buchteile zum Thema "Dependency Minimal Recursion Semantics"

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Su, Chao, Heyan Huang, Shumin Shi, and Ping Jian. "Chinese Text Analysis Based on Minimal Recursion Semantics." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27194-1_41.

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Paquet, Hugo. "Bayesian strategies: probabilistic programs as generalised graphical models." In Programming Languages and Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72019-3_19.

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AbstractWe introduceBayesian strategies, a new interpretation of probabilistic programs in game semantics. This interpretation can be seen as a refinement of Bayesian networks.Bayesian strategies are based on a new form ofevent structure, with two causal dependency relations respectively modelling control flow and data flow. This gives a graphical representation for probabilistic programs which resembles the concrete representations used in modern implementations of probabilistic programming.From a theoretical viewpoint, Bayesian strategies provide a rich setting for denotational semantics. To demonstrate this we give a model for a general higher-order programming language with recursion, conditional statements, and primitives for sampling from continuous distributions and trace re-weighting. This is significant because Bayesian networks do not easily support higher-order functions or conditionals.

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Bozzano, Marco, Alessandro Cimatti, Anthony Fernandes Pires, Alberto Griggio, Martin Jonáš, and Greg Kimberly. "Efficient SMT-Based Analysis of Failure Propagation." In Computer Aided Verification. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81688-9_10.

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AbstractThe process of developing civil aircraft and their related systems includes multiple phases of Preliminary Safety Assessment (PSA). An objective of PSA is to link the classification of failure conditions and effects (produced in the functional hazard analysis phases) to appropriate safety requirements for elements in the aircraft architecture. A complete and correct preliminary safety assessment phase avoids potentially costly revisions to the design late in the design process. Hence, automated ways to support PSA are an important challenge in modern aircraft design. A modern approach to conducting PSAs is via the use of abstract propagation models, that are basically hyper-graphs where arcs model the dependency among components, e.g. how the degradation of one component may lead to the degraded or failed operation of another. Such models are used for computing failure propagations: the fault of a component may have multiple ramifications within the system, causing the malfunction of several interconnected components. A central aspect of this problem is that of identifying the minimal fault combinations, also referred to as minimal cut sets, that cause overall failures.In this paper we propose an expressive framework to model failure propagation, catering for multiple levels of degradation as well as cyclic and nondeterministic dependencies. We define a formal sequential semantics, and present an efficient SMT-based method for the analysis of failure propagation, able to enumerate cut sets that are minimal with respect to the order between levels of degradation. In contrast with the state of the art, the proposed approach is provably more expressive, and dramatically outperforms other systems when a comparison is possible.

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Konferenzberichte zum Thema "Dependency Minimal Recursion Semantics"

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Hijazi, Rita, Bernard Espinasse, and Núria Gala. "GRASS: A Syntactic Text Simplification System based on Semantic Representations." In 3rd International Conference on Data Science and Machine Learning (DSML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121518.

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Automatic Text Simplification (ATS) is the process of reducing a text's linguistic complexity to improve its understandability and readability while maintaining its original information, content, and meaning. Several text transformation operations can be performed such as splitting a sentence into several shorter sentences, substitution of complex elements, and reorganization. It has been shown that the implementation of these operations essentially at a syntactic level causes several problems that could be solved by using semantic representations. In this paper, we present GRASS (GRAph-based

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Fuchss, Ruth, Alexander Koller, Joachim Niehren, and Stefan Thater. "Minimal recursion semantics as dominance constraints." In the 42nd Annual Meeting. Association for Computational Linguistics, 2004. http://dx.doi.org/10.3115/1218955.1218987.

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"Minimal Recursion Semantics and the Language of Acyclic Recursion." In AI Methods for Interdisciplinary Research in Language and Biology. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003309800880097.

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Copestake, Ann. "Semantic composition with (robust) minimal recursion semantics." In the Workshop. Association for Computational Linguistics, 2007. http://dx.doi.org/10.3115/1608912.1608925.

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Lien, Elisabeth. "Using Minimal Recursion Semantics for Entailment Recognition." In Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, 2014. http://dx.doi.org/10.3115/v1/e14-3009.

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Lien, Elisabeth, and Milen Kouylekov. "UIO-Lien: Entailment Recognition using Minimal Recursion Semantics." In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014). Association for Computational Linguistics, 2014. http://dx.doi.org/10.3115/v1/s14-2125.

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Dridan, Rebecca, and Francis Bond. "Sentence comparison using robust minimal recursion semantics and an ontology." In the Workshop. Association for Computational Linguistics, 2006. http://dx.doi.org/10.3115/1641976.1641982.

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