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Towards Entailment-Based Question Answering: ITC-irst at CLEF 2006 [chapter]

Milen Kouylekov, Matteo Negri, Bernardo Magnini, Bonaventura Coppola
2007 Lecture Notes in Computer Science  
The participation in the AVE task, with an answer validation module based on textual entailment recognition, is motivated by our objectives of (i) creating a modular framework for an entailment-based approach  ...  to QA, and (ii) developing, in compliance with this framework, a stand-alone component for answer validation which implements different approaches to the problem.  ...  Besides our well tested statistical approach to the problem, described in [11] , we plan to include in this package a new AV method based on textual entailment recognition, allowing the user for experimentations  ... 
doi:10.1007/978-3-540-74999-8_64 fatcat:pjmrgp7ccfezrb4gtbmw7q5d64

Validating Contradiction in Texts Using Online Co-Mention Pattern Checking

Chengwei Shih, Chengwei Lee, Richard Tzonghan Tsai, Wenlian Hsu
2012 ACM Transactions on Asian Language Information Processing  
Detecting contradictive statements is a foundational and challenging task for text understanding applications such as textual entailment.  ...  A novel contradiction detecting approach based on the distribution of the query composed of critical mismatch combinations on the Internet is proposed to tackle the problem.  ...  But few previous works apply Web mining to obtain the required background knowledge for contradiction detection in the textual entailment framework.  ... 
doi:10.1145/2382593.2382599 fatcat:6x6d34a3n5cx3hz7vdyr5z2plm

Experimenting a "General Purpose" Textual Entailment Learner in AVE [chapter]

Fabio Massimo Zanzotto, Alessandro Moschitti
2007 Lecture Notes in Computer Science  
In this paper we present the use of a "general purpose" textual entailment recognizer in the Answer Validation Exercise (AVE) task.  ...  Although, the high variability of the outcome prevents us to derive definitive conclusions, the results show that our approach is quite promising and improvable in the future.  ...  We applied our textual entailment recognition system [4] , developed for the second RTE challenge [3] , to AVE.  ... 
doi:10.1007/978-3-540-74999-8_61 fatcat:swyhrfm5ljd33buh5fs7yab5bm

Acquisition and Reuse of Reasoning Knowledge from Textual Cases for Automated Analysis [chapter]

Gleb Sizov, Pinar Öztürk, Jozef Štyrák
2014 Lecture Notes in Computer Science  
In this approach a new problem is analysed by reusing reasoning knowledge from the analysis of a similar problem.  ...  It is a non-trivial process even for human experts. To assist experts in this process we propose a CBR-based approach for automated problem analysis.  ...  Our approach relies on a textual graph-based representation TRG, which captures reasoning/explanatory knowledge through causal, entailment and paraphrase relations automatically extracted from text.  ... 
doi:10.1007/978-3-319-11209-1_33 fatcat:qohcsizaqzhn7n6ehlwmyunr74

Survey on Answer Validation for Indonesian Question Answering System (IQAS)

Abdiansah Abdiansah, Azhari Azhari, Anny K. Sari
2018 International Journal of Intelligent Systems and Applications  
The goals of this survey are to find the cutting-edge method used in AV and to prove that AV has not been implemented on IQAS.  ...  Section 5 and 6 show some related works with a brief overview of the state-of-the-art both AV and IQAS respectively.  ...  The second objective was to bring systems based on Textual Entailment to the Automatic Hypothesis Generation problem which was not part itself of the Recognizing Textual Entailment (RTE) task but a need  ... 
doi:10.5815/ijisa.2018.04.08 fatcat:r3r6tygg5nawzkgkwj7jh42ele

Towards an Automatic Validation of Answers in Question Answering

Anne-Laure Ligozat, Brigitte Grau, Anne Vilnat, Isabelle Robba, Arnaud Grappy
2007 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007)  
The objective of an Answer Validation task is thus to judge the correctness of an answer returned by a QA system for a question, according to the text snippet given to support it.  ...  In this article, we present our strategy for deciding if the snippets justify the answers: a strategy based on our own QA system, comparing the answers it returned with the answer to judge.  ...  Answer validation The Pascal Recognizing Textual Entailment Challenge 1 (RTE) defines " textual entailment" as the task to decide, given two fragments of text, if the meaning of one can be deduced from  ... 
doi:10.1109/ictai.2007.156 dblp:conf/ictai/LigozatGVRG07 fatcat:3j5og47bljgevk2xgdujlrcvre

Asymmetric Attributional Word Similarity Measures to Detect the Relations of Textual Generality

Sebastião Pais, Gaël Dias
2020 Computers  
Since 2005, in the TE Recognition (RTE) task, systems have been asked to automatically judge whether the meaning of a portion of the text, the Text (T), entails the meaning of another text, the Hypothesis  ...  In line with this direction, in this work, we focus on a particular case of entailment, entailment by generality, to detect the relations of textual generality.  ...  The authors of [55] combined two approaches, a shallow method based mainly on word-overlap and a method based on logical inference, using the first-order theorem proving and model building techniques  ... 
doi:10.3390/computers9040081 fatcat:vyt3our4rjfi5dgbparoo4trsy

Techniques for Recognizing Textual Entailment and Semantic Equivalence [chapter]

Jesús Herrera, Anselmo Peñas, Felisa Verdejo
2006 Lecture Notes in Computer Science  
A compilation of the currently implemented techniques in the main Recognizing Textual Entailment and Semantic Equivalence systems is given.  ...  After defining what is understood by textual entailment and semantic equivalence, the present state and the desirable future of the systems aimed at recognizing them is shown.  ...  Acknowledgments This work has been partially supported by the Spanish Ministry of Science and Technology. Project TIC-2003-07158-C04-02: R2D2-SyEMBRA.  ... 
doi:10.1007/11881216_44 fatcat:x2jutqmtivfthcrhv6nntu6avi

Paraphrase Substitution for Recognizing Textual Entailment [chapter]

Wauter Bosma, Chris Callison-Burch
2007 Lecture Notes in Computer Science  
We describe a method for recognizing textual entailment that uses the length of the longest common subsequence (LCS) between two texts as its decision criterion.  ...  We find that the use of paraphrases over strict word matches represents an average F-measure improvement from 0.22 to 0.36 on the CLEF 2006 Answer Validation Exercise for 7 languages.  ...  This work is funded by the Interactive Multimodal Information Extraction (IMIX) program of the Netherlands Organization for Scientific Research (NWO).  ... 
doi:10.1007/978-3-540-74999-8_60 fatcat:lepc2df3r5g2lj74sc4kefkqia

Answer Validation on English and Romanian Languages [chapter]

Adrian Iftene, Alexandra Balahur
2009 Lecture Notes in Computer Science  
In this year's AVE competition we also participated with a system working in Romanian, using a Textual Entailment (TE) system working on Romanian.  ...  Introduction AVE 1 (Answer Validation Exercise) is a task introduced in the QA@CLEF competition, with the aim of promoting the development and evaluation of subsystems validating the correctness of the  ...  Textual Entailment System The main architecture of our Textual Entailment system remains the same (Iftene, Balahur-Dobrescu, 2007a) .  ... 
doi:10.1007/978-3-642-04447-2_53 fatcat:niv3ttgwmzdp5ovz2quowyfowm

Decomposing Semantic Inferences

Elena Cabrio, Bernardo Magnini
2014 Linguistic Issues in Language Technology  
Beside formal approaches to semantic inference that rely on logical representation of meaning, the notion of Textual Entailment (TE) has been proposed as an applied framework to capture major semantic  ...  Pursuing this direction, we are convinced that crucial progress will derive from a focus on decomposing the complexity of the TE task into basic phenomena and on their combination.  ...  Acknowledgments The work of the second author has been partially supported by the EX-CITEMENT project (Exploring Customer Interactions through Textual Entailment), under the EU grant FP7 ICT-287923.  ... 
doi:10.33011/lilt.v9i.1319 fatcat:bhmnv2kfozd2pj6dprwtn5base

An Evaluation of the Effortless Approach to Build Algorithm Animations with WinHIPE

Jaime Urquiza-Fuentes, J. Ángel Velázquez-Iturbide
2007 Electronical Notes in Theoretical Computer Science  
We have conducted a controlled experiment where a group of students (n=15) had to study an algorithm and complete a knowledge test about it and a subjective opinion questionnaire.  ...  The use of algorithm visualizations in computer science education is not a new thing.  ...  Also authors want to thank: the reviewers and attendees of the Fourth Program Visualization Workshop for their comments and discussions, Carlos Lázaro-Carrascosa for his valuable help during the experimental  ... 
doi:10.1016/j.entcs.2007.01.038 fatcat:u5njlmnnyzbmlonnledfth3gam

Selecting Answers to Questions from Web Documents by a Robust Validation Process

A. Grappy, B. Grau, M-H. Falco, A-L. Ligozat, I. Robba, A. Vilnat
2011 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology  
The validation module is based on a machine learning approach.  ...  We developed a QA system based on an answer validation process able to handle Web specificity.  ...  The AVE task is close to Pascal Recognizing Textual Entailment Challenge 3 (RTE) that defines "textual entailment" as the task to decide, given two fragments of text, if the meaning of one can be deduced  ... 
doi:10.1109/wi-iat.2011.210 dblp:conf/webi/GrappyGFLRV11 fatcat:7jdppenkfve6nj3ibua6dqfgtu

Improving the Question Answering Quality using Answer Candidate Filtering based on Natural-Language Features [article]

Aleksandr Gashkov, Aleksandr Perevalov, Maria Eltsova, Andreas Both
2021 arXiv   pre-print
In particular, our approach has shown its potential while removing in many cases the majority of incorrect answers, which increases the QA quality significantly in comparison to the non-filtered output  ...  Hence, filtering incorrect answers from a list of answer candidates is leading to a highly improved QA quality.  ...  To conclude we see how AV approaches changed in time from rule-based to DNNs.  ... 
arXiv:2112.05452v1 fatcat:2c6m76oiwrgjrpjbolinswloli

TextFlow: A Text Similarity Measure based on Continuous Sequences

Yassine Mrabet, Halil Kilicoglu, Dina Demner-Fushman
2017 Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
Text similarity measures are used in multiple tasks such as plagiarism detection, information ranking and recognition of paraphrases and textual entailment.  ...  The new measure, called TextFlow, represents input text pairs as continuous curves and uses both the actual position of the words and sequence matching to compute the similarity value.  ...  Acknowledgements This work was supported in part by the Intramural Research Program of the NIH, National Library of Medicine. 11 goo.gl/NVnybD 12 https://radimrehurek.com/gensim/  ... 
doi:10.18653/v1/p17-1071 dblp:conf/acl/MrabetKD17 fatcat:yixfte2dyvf3zeo3ujzm253a3a
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