Relevant bibliographies by topics / Question-answering systems

Academic literature on the topic 'Question-answering systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Question-answering systems.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Question-answering systems"

1

Visser, Ubbo. "Question/Answering Systems." KI - Künstliche Intelligenz 26, no. 2 (February 23, 2012): 191–95. http://dx.doi.org/10.1007/s13218-012-0172-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Usbeck, Ricardo, Michael Röder, Michael Hoffmann, Felix Conrads, Jonathan Huthmann, Axel-Cyrille Ngonga-Ngomo, Christian Demmler, and Christina Unger. "Benchmarking question answering systems." Semantic Web 10, no. 2 (January 21, 2019): 293–304. http://dx.doi.org/10.3233/sw-180312.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Singh, Vaishali, and Sanjay K. Dwivedi. "Question Answering." International Journal of Information Retrieval Research 4, no. 3 (July 2014): 14–33. http://dx.doi.org/10.4018/ijirr.2014070102.

Full text
Abstract:
With the huge amount of data available on web, it has turned out to be a fertile area for Question Answering (QA) research. Question answering, an instance of information retrieval research is at the cross road from several research communities such as, machine learning, statistical learning, natural language processing and pattern learning. In this paper, the authors survey the research in area of question answering with respect to different prospects of NLP, machine learning, statistical learning and pattern learning. Then they situate some of the prominent QA systems concerning these prospects and present a comparative study on the basis of question types.
APA, Harvard, Vancouver, ISO, and other styles
4

Ahmed, Waheeb, and Babu Anto P. "Question Analysis for Arabic Question Answering Systems." International Journal on Natural Language Computing 5, no. 6 (December 30, 2016): 21–30. http://dx.doi.org/10.5121/ijnlc.2016.5603.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ahmed, Waheeb, and Dr Babu Anto P. "Question Focus Recognition in Question Answering Systems." IJARCCE 5, no. 12 (December 30, 2016): 25–28. http://dx.doi.org/10.17148/ijarcce.2016.51205.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Lapshin, V. A. "Question-answering systems: Development and prospects." Automatic Documentation and Mathematical Linguistics 46, no. 3 (May 2012): 138–45. http://dx.doi.org/10.3103/s0005105512030053.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Biltawi, Mariam M., Sara Tedmori, and Arafat Awajan. "Arabic Question Answering Systems: Gap Analysis." IEEE Access 9 (2021): 63876–904. http://dx.doi.org/10.1109/access.2021.3074950.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Gupta, Poonam, Ruchi Garg, and Amandeep Kaur. "Question Answering Systems for Covid-19." Journal of Physics: Conference Series 2062, no. 1 (November 1, 2021): 012027. http://dx.doi.org/10.1088/1742-6596/2062/1/012027.

Full text
Abstract:
Abstract In the present scenario COVID-19 pandemic has ruined the entire world. This situation motivates the researchers to resolve the query raised by the people around the world in an efficient manner. However, less number of resources available in order to gain the information and knowledge about COVID-19 arises a need to evaluate the existing Question Answering (QA) systems on COVID-19. In this paper, we compare the various QA systems available in order to answer the questions raised by the people like doctors, medical researchers etc. related to corona virus. QA systems process the queries submitted in natural language to find the best relevant answer among all the candidate answers for the COVID-19 related questions. These systems utilize the text mining and information retrieval on COVID-19 literature. This paper describes the survey of QA systems-CovidQA, CAiRE (Center for Artificial Intelligence Research)-COVID system, CO-search semantic search engine, COVIDASK, RECORD (Research Engine for COVID Open Research Dataset) available for COVID-19. All these QA systems are also compared in terms of their significant parameters-like Precision at rank 1 (P@1), Recall at rank 3(R@3), Mean Reciprocal Rank(MRR), F1-Score, Exact Match(EM), Mean Average Precision, Score metric etc.; on which efficiency of these systems relies.
APA, Harvard, Vancouver, ISO, and other styles
9

Nabil Alkholy, Eman Mohamed, Mohamed Hassan Haggag, and Amal Aboutabl. "Question Answering Systems: Analysis and Survey." International Journal of Computer Science & Engineering Survey 09, no. 06 (December 31, 2018): 1–13. http://dx.doi.org/10.5121/ijcses.2018.9601.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Kratzwald, Bernhard, and Stefan Feuerriegel. "Putting Question-Answering Systems into Practice." ACM Transactions on Management Information Systems 9, no. 4 (March 12, 2019): 1–20. http://dx.doi.org/10.1145/3309706.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Question-answering systems"

1

Sundblad, Håkan. "Question Classification in Question Answering Systems." Licentiate thesis, Linköping University, Linköping University, NLPLAB - Natural Language Processing Laboratory, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9014.

Full text
Abstract:

Question answering systems can be seen as the next step in information retrieval, allowing users to pose questions in natural language and receive succinct answers. In order for a question answering system as a whole to be successful, research has shown that the correct classification of questions with regards to the expected answer type is imperative. Question classification has two components: a taxonomy of answer types, and a machinery for making the classifications.

This thesis focuses on five different machine learning algorithms for the question classification task. The algorithms are k nearest neighbours, naïve bayes, decision tree learning, sparse network of winnows, and support vector machines. These algorithms have been applied to two different corpora, one of which has been used extensively in previous work and has been constructed for a specific agenda. The other corpus is drawn from a set of users' questions posed to a running online system. The results showed that the performance of the algorithms on the different corpora differs both in absolute terms, as well as with regards to the relative ranking of them. On the novel corpus, naïve bayes, decision tree learning, and support vector machines perform on par with each other, while on the biased corpus there is a clear difference between them, with support vector machines being the best and naïve bayes being the worst.

The thesis also presents an analysis of questions that are problematic for all learning algorithms. The errors can roughly be divided as due to categories with few members, variations in question formulation, the actual usage of the taxonomy, keyword errors, and spelling errors. A large portion of the errors were also hard to explain.


Report code: LiU-Tek-Lic-2007:29.
APA, Harvard, Vancouver, ISO, and other styles
2

Sundblad, Håkan. "Question classification in question answering systems /." Linköping : Department of Computer and Information Science, Linköpings universitet, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9014.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Dubien, Stephen, and University of Lethbridge Faculty of Arts and Science. "Question answering using document tagging and question classification." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2005, 2005. http://hdl.handle.net/10133/248.

Full text
Abstract:
Question answering (QA) is a relatively new area of research. QA is retriecing answers to questions rather than information retrival systems (search engines), which retrieve documents. This means that question answering systems will possibly be the next generation of search engines. What is left to be done to allow QA to be the next generation of search engines? The answer is higher accuracy, which can be achieved by investigating methods of questions answering. I took the approach of designing a question answering system that is based on document tagging and question classification. Question classification extracts useful information from the question about how to answer the question. Document tagging extracts useful information from the documents, which will be used in finding the answer to the question. We used different available systems to tage the documents. Our system classifies the questions using manually developed rules. I also investigated different ways which can use both these methods to answer questions and found that our methods had a comparable accuracy to some systems that use deeper processing techniques. This thesis includes investigations into modules of a question answering system and gives insights into how to go about developing a question answering system based on document tagging and question classification. I also evaluated our current system with the questions from the TREC 2004 question answering track.
viii, 139 leaves ; 29 cm.
APA, Harvard, Vancouver, ISO, and other styles
4

Domínguez, Sal David. "Analysis and optimization of question answering systems." Doctoral thesis, Universitat Politècnica de Catalunya, 2010. http://hdl.handle.net/10803/78011.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Baskurt, Meltem. "Ontology Learning And Question Answering (qa) Systems." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/2/12611818/index.pdf.

Full text
Abstract:
Ontology Learning requires a deep specialization on Semantic Web, Knowledge Representation, Search Engines, Inductive Learning, Natural Language Processing, Information Storage, Extraction and Retrieval. Huge amount of domain specific, unstructured on-line data needs to be expressed in machine understandable and semantically searchable format. Currently users are often forced to search manually in the results returned by the keyword-based search services. They also want to use their native languages to express what they search. In this thesis we developed an ontology based question answering system that satisfies these needs by the research outputs of the areas stated above. The system allows users to enter a question about a restricted domain by means of natural language and returns exact answer of the questions. A set of questions are collected from the users in the domain. In addition to questions, their corresponding question templates were generated on the basis of the domain ontology. When the user asks a question and hits the search button, system chooses the suitable question template and builds a SPARQL query according to this template. System is also capable of answering questions required inference by using generic inference rules defined at a rule file. Our evaluation with ten users shows that the sytem is extremely simple to use without any training resulting in very good query performance.
APA, Harvard, Vancouver, ISO, and other styles
6

Tranaeus, David. "Influence of Sentiment in Question Answering Systems." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-262674.

Full text
Abstract:
The task of a question answering (QA) system is to automatically answer questions asked by humans, expressed in a natural language. In recent years, platforms, where QA systems are applicable, have emerged on the web and gained in popularity. Related to the answering of complex questions, with subjective or ambiguous answers, there is a growing interest in understanding how semantic features can be utilized further to enhance the capability of the systems. In this thesis, it was investigated how sentiment information contained in questions and answers influenced the performance of a QA system built using logistic regression. In addition to the sentiment model, an additional baseline model, which did not consider sentiment, was constructed and used as a reference point for evaluation. The models were trained and tested on the popular Stanford Question Answering Dataset 2.0 and evaluated using accepted metrics for measurement of search-effectiveness. The results show that there was a slight but valuable increase in precision, suggesting that the sentiment model’s ability to detect non-answers was improved. The experiments also showed that differences in sentiment intensity between a question and a candidate answer lowered the probability that the candidate answer was correct. The increased performance encourages a more in-depth and detailed analysis of how sentiment can be efficiently utilized to improve and understand QA systems further.
Uppgiften för ett frågebesvarande system är att automatiskt besvara frågor uttryckta i ett naturligt språk. De senaste åren har plattformar, där frågebesvarande system är tillämpbara, vuxit fram och blivit allt mer populära. I takt med detta har det även uppstått ett ökat intresse för att förstå hur sentiment kan användas för att förbättra frågebesvarande systems förmåga att besvara komplexa frågor med tvetydiga eller subjektiva svar. I denna uppsats undersöktes inflytandet som sentiment i frågor och svar hade på ett frågebesvarande system byggt med logistisk regression. Utöver sentimentmodellen byggdes även en baslinjemodell som inte tog hänsyn till sentiment. Denna modell användes som referens för att utvärdera sentimentmodellens förmåga. Båda modellerna var tränade och testade på datasetet Stanford Question Answering Dataset 2.0 och utvärderade med hjälp av välkända metoder för att evaluera sökeffektivitet. Resultaten visade en liten, men värdefull, ökning i precision, vilket tyder på att sentimentmodellens förmåga att upptäcka icke-svar förbättrades. Experimenten visade även att en skillnad i sentimentintensitet mellan en fråga och ett potentiellt svar sänkte sannolikheten att svaret var rätt. Den ökade förmågan uppmuntrar till fortsatt djupare analys för att förstå hur sentiment kan användas för att förbättra frågebesvarande system.
APA, Harvard, Vancouver, ISO, and other styles
7

Banerjee, Protima Han Hyoil. "Language modeling approaches to question answering /." Philadelphia, Pa. : Drexel University, 2009. http://hdl.handle.net/1860/3126.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Jansson, Herman. "Low-resource Language Question Answering Systemwith BERT." Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-42317.

Full text
Abstract:
The complexity for being at the forefront regarding information retrieval systems are constantly increasing. Recent technology of natural language processing called BERT has reached superhuman performance in high resource languages for reading comprehension tasks. However, several researchers has stated that multilingual model’s are not enough for low-resource languages, since they are lacking a thorough understanding of those languages. Recently, a Swedish pre-trained BERT model has been introduced which is trained on significantly more Swedish data than the multilingual models currently available. This study compares both multilingual and Swedish monolingual inherited BERT model’s for question answering utilizing both a English and a Swedish machine translated SQuADv2 data set during its fine-tuning process. The models are evaluated with SQuADv2 benchmark and within a implemented question answering system built upon the classical retriever-reader methodology. This study introduces a naive and more robust prediction method for the proposed question answering system as well finding a sweet spot for each individual model approach integrated into the system. The question answering system is evaluated and compared against another question answering library at the leading edge within the area, applying a custom crafted Swedish evaluation data set. The results show that the fine-tuned model based on the Swedish pre-trained model and the Swedish SQuADv2 data set were superior in all evaluation metrics except speed. The comparison between the different systems resulted in a higher evaluation score but a slower prediction time for this study’s system.
APA, Harvard, Vancouver, ISO, and other styles
9

Burhans, Debra Thomas. "A question answering interpretation of resolution refutation." Buffalo, N.Y. : Dept. of Computer Science, State University of New York at Buffalo, 2002. http://www.cse.buffalo.edu/tech%2Dreports/2002%2D03.ps.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Antonio, Nicholas. "Intelligent interface design for a question answering system." [Gainesville, Fla.] : University of Florida, 2001. http://purl.fcla.edu/fcla/etd/UFE0000303.

Full text
Abstract:
Thesis (M.S.)--University of Florida, 2001.
Title from title page of source document. Document formatted into pages; contains x, 58 p.; also contains graphics. Includes vita. Includes bibliographical references.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Question-answering systems"

1

Fliedner, Gerhard. Linguistically informed question answering. Saarbrücken, Germany: German Research Center for Artificial Intelligence, Saarland University, 2007.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

FQAS 2006 (8th 2009 Roskilde, Denmark). Flexible query answering systems. Berlin: Springer, 2009.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Sabharwal, Navin, and Amit Agrawal. Hands-on Question Answering Systems with BERT. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6664-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Perevozchikova, O. L. Dialogovye sistemy. Kiev: Nauk. dumka, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

A, Kosarev I͡U. Estestvennai͡a forma dialoga s ĖVM. Leningrad: "Mashinostroenie," Leningradskoe otd-nie, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Andreasen, Troels. Flexible Query Answering Systems. Boston, MA: Springer US, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Landaʼu, Dov. Ketsad shoʼalim, ketsad ḥoshvim u-khetsad meshivim?: Be-horaʼah rav-memadit mudaʻat be-miḳtsoʻot ha-humanisṭiḳah. Hefah: Mikhlelet Shaʼanan, 2003.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Kostadinova, Lubomira. Untersuchungen zu elliptischen Antwortkonstruktionen in Relation zu entsprechenden Fragesätzen in automatischen natürlichsprachigen Auskunftssystemen. Aachen: Shaker Verlag, 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Niemann, H. Recent Advances in Speech Understanding and Dialog Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Kobsa, Alfred. Benutzermodellierung in Dialogsystemen. Berlin: Springer-Verlag, 1985.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Question-answering systems"

1

Clarke, Charles L. A. "Web Question Answering." In Encyclopedia of Database Systems, 1–7. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_1363-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Clarke, Charles L. A. "Web Question Answering." In Encyclopedia of Database Systems, 3485–90. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_1363.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Clarke, Charles L. A. "Web Question Answering." In Encyclopedia of Database Systems, 4637–43. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_1363.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Przybyła, Piotr. "Question Classification for Polish Question Answering." In Language Processing and Intelligent Information Systems, 50–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38634-3_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Vicedo, José L., Ruben Izquierdo, Fernando Llopis, and Rafael Muñoz. "Question Answering in Spanish." In Comparative Evaluation of Multilingual Information Access Systems, 541–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30222-3_52.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Ogden, William, James Mcdonald, Philip Bernick, and Roger Chadwick. "Habitability In Question-Answering Systems." In Advances in Open Domain Question Answering, 457–73. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-4746-6_15.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Dodiya, Tripti, and Sonal Jain. "Comparison of Question Answering Systems." In Advances in Intelligent Systems and Computing, 99–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32063-7_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Lenz, Mario, André Hübner, and Mirjam Kunze. "Question answering with Textual CBR." In Flexible Query Answering Systems, 236–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0056005.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Oliveira, Lucas Emanuel Silva e., Elisa Terumi Rubel Schneider, Yohan Bonescki Gumiel, Mayara Aparecida Passaura da Luz, Emerson Cabrera Paraiso, and Claudia Moro. "Experiments on Portuguese Clinical Question Answering." In Intelligent Systems, 133–45. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91699-2_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Schockaert, Steven, David Ahn, Martine De Cock, and Etienne E. Kerre. "Question Answering with Imperfect Temporal Information." In Flexible Query Answering Systems, 647–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11766254_55.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Question-answering systems"

1

Al Chalabi, Hani Maluf, Santosh Kumar Ray, and Khaled Shaalan. "Question classification for Arabic Question Answering Systems." In 2015 International Conference on Information and Communication Technology Research (ICTRC). IEEE, 2015. http://dx.doi.org/10.1109/ictrc.2015.7156484.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Bach, Ngo Xuan, Le Thi Ngoc Cham, Tran Ha Ngoc Thien, and Tu Minh Phuong. "Question analysis for Vietnamese legal question answering." In 2017 9th International Conference on Knowledge and Systems Engineering (KSE). IEEE, 2017. http://dx.doi.org/10.1109/kse.2017.8119451.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Hu, Dawei, Shenhua GU, Shitong Wang, Liu Wenyin, and Enhong Chen. "Question recommendation for user-interactive question answering systems." In the 2nd international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1352793.1352803.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

"A GEOGRAPHICAL QUESTION ANSWERING SYSTEM." In 3rd International Conference on Web Information Systems and Technologies. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0001287203080314.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Nguyen, Dai Quoc, Dat Quoc Nguyen, and Son Bao Pham. "A Vietnamese Question Answering System." In 2009 International Conference on Knowledge and Systems Engineering (KSE). IEEE, 2009. http://dx.doi.org/10.1109/kse.2009.42.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

San Pedro, Jose, and Alexandros Karatzoglou. "Question recommendation for collaborative question answering systems with RankSLDA." In the 8th ACM Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2645710.2645736.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Alqifari, Reem. "Question Answering Systems Approaches and Challenges." In Student Research Workshop Associated with RANLP 2019. Incoma Ltd., 2019. http://dx.doi.org/10.26615/issn.2603-2821.2019_011.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Law, Po-Ming, Leo Yu-Ho Lo, Alex Endert, John Stasko, and Huamin Qu. "Causal Perception in Question-Answering Systems." In CHI '21: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3411764.3445444.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Balahur, Alexandra, Ester Boldrini, Andrés Montoyo, and Patricio Martínez-Barco. "Opinion and generic question answering systems." In the ACL-IJCNLP 2009 Conference Short Papers. Morristown, NJ, USA: Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1667583.1667632.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Briouya, Asmae, Hasnae Briouya, Ali Choukri, Mohamed Amnai, and Youssef Fakhri. "Exploration of Question-Answering Systems: Survey." In 2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM). IEEE, 2023. http://dx.doi.org/10.1109/wincom59760.2023.10322930.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Question-answering systems"

1

Ittycheriah, Abraham, and Salim Roukos. IBM's Statistical Question Answering System - TREC-11. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada456310.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Moore, Mark, and Marla Spivack. A Public Value Approach to Analyzing and Intervening in National Educational Systems. Research on Improving Systems of Education (RISE), January 2023. http://dx.doi.org/10.35489/bsg-rise-misc_2023/10.

Full text
Abstract:
Any analysis of a “National Educational System” reveals a highly complex social production system that is neither a hierarchical organization, nor a market, nor simply a misaligned system of principals and agents. It is, instead, a complex array of social actors bound together through various social structures and processes on one hand, and important functional relationships on the other. In approaching the challenge of moving that system towards sustained productivity gains, national governments naturally fall prey to the assumption that, in the principal/agent framework they are the principals of the system. But, as we have seen empirically, this idea overestimates the capacities of most central governments in developing countries (Pritchett 2013, Pritchett 2015, Moore and Spivack 2022). The world at large has learned that it is hard to centrally manage complex economies to produce economic prosperity and social equity. It is not obvious that the search for educational improvement is any less difficult. Of course, it is not wrong to imagine that the national government can become an important catalyst, motivator, and director of the system that will enhance its productivity – broadly understood. The important question, however, is how exactly it should practically do so? How can the central government develop a “strategic capacity” that can keep the widely distributed system as a whole moving towards improved performance with respect to both educational goals, and the wider economic, social, and political purposes that a polity hopes to advance through the provision of educational services. Answering that question for a broad class of national governments seeking to promoted sustained educational productivity relative to their goals is the task we will tackle in this essay (Moore and Spivack 2022).
APA, Harvard, Vancouver, ISO, and other styles
3

Winkler-Portmann, Simon. Umsetzung einer wirksamen Compliance in globalen Lieferketten am Beispiel der Anforderungen aus der europäischen Chemikalien-Regulierung an die Automobilindustrie. Sonderforschungsgruppe Institutionenanalyse, August 2020. http://dx.doi.org/10.46850/sofia.9783941627796.

Full text
Abstract:
This publication based on a master thesis explores the challenges of the automotive industry regarding the European chemical regulations REACH and CLP, as well as potential improvements of the current compliance activities and the related incentives and barriers. It answers the research question: "To what extent should the compliance activities of actors in the automotive supply chain be extended in order to meet the requirements of European chemicals regulation; and where would it help to strengthen incentives in enforcement and the legal framework?“. The study’s structure is based on the transdisciplinary delta analysis of the Society for Institutional Analysis at the Darmstadt University of Applied Sciences. It compares the target state of the legal requirements and the requirements for corresponding compliance with the actual state of the actual compliance measures of the automotive players and attempts to identify their weak points (the delta). The main sources for the analysis are the legal texts and relevant court decisions as well as guideline-based expert interviews with automotive players based on Gläser & Laudel. As objects of the analysis, there are in addition answers to random enquiries according to Article 33 (2) REACH as well as the recommendations and guidelines of the industry associations. The analysis identifies the transmission of material information in the supply chain as a key problem. The global database system used for this purpose, the IMDS, shows gaps in the framework conditions. This results in compliance risk due to the dynamically developing regulation. In addition, the study identifies an incompliance of the investigated automobile manufacturers with regard to Art. 33 REACH. In answering the research question, the study recommends solutions to the automotive players that extend the current compliance activities. In addition, it offers tables and process flow diagrams, which structure the duties and required compliance measures and may serve as basic audit criteria. The analysis is carried out from an external perspective and looks at the entire industry. It therefore cannot cover all the individual peculiarities of each automotive player. As a result, the identified gaps serve only as indications for possible further compliance risks.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Question-answering systems' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography