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A Knowledge-based Textual Entailment Approach applied to the QA Answer Validation at CLEF 2006

Óscar Ferrández, Rafael M. Terol, Rafael Muñoz, Patricio Martínez-Barco, Manuel Palomar
2006 Conference and Labs of the Evaluation Forum  
The Answer Validation Exercise (AVE) is a pilot track within the Cross-Language Evaluation Forum (CLEF) 2006.  ...  The AVE competition provides an evaluation framework for answer validations in Question Answering (QA).  ...  Acknowledgements This research has been partially funded by the Spanish Government under project CICyT number TIC2003-07158-C04-01.  ... 
dblp:conf/clef/FerrandezTMMP06a fatcat:v7uvikz45zasvfznddmdecxj4m

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.  ...  Adhering to this perspective, the objective of the research on entailment-based QA aims at creating a stand-alone package for Answer Validation (AV), which implements different strategies to select the  ... 
doi:10.1007/978-3-540-74999-8_64 fatcat:pjmrgp7ccfezrb4gtbmw7q5d64

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  
One of the important issues in IQAS is Answer Validation (AV), which is a system that can determine the correctness of QAS.  ...  Research on Question Answering System (QAS) has been done mainly in English.  ...  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.  ...  This task is close to the task named AVE (Answer Validation Exercise 2 ) introduced at QA@CLEF 3 in 2006.  ... 
doi:10.1109/ictai.2007.156 dblp:conf/ictai/LigozatGVRG07 fatcat:3j5og47bljgevk2xgdujlrcvre

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.  ...  RELATED WORK The task of answer validation (AVE) [9] at CLEF was dedicated to validate answers to questions in relation with a justification passage, both provided by QA systems.  ... 
doi:10.1109/wi-iat.2011.210 dblp:conf/webi/GrappyGFLRV11 fatcat:7jdppenkfve6nj3ibua6dqfgtu

A Machine Learning Approach for Recognizing Textual Entailment in Spanish

Julio Castillo
2010 North American Chapter of the Association for Computational Linguistics  
This paper presents a system that uses machine learning algorithms for the task of recognizing textual entailment in Spanish language.  ...  The datasets used include SPARTE Corpus and a translated version to Spanish of RTE3, RTE4 and RTE5 datasets.  ...  AVE challenge was an evaluation framework for Question Answering (QA) systems to promote the development and evaluation of subsystems aimed at validating the correctness of the answers given by a QA system  ... 
dblp:conf/naacl/Castillo10 fatcat:tvqd2x2ptffozgyk5htyr32nu4

Lexical validation of answers in Question Answering

Anne-Laure Ligozat, Brigitte Grau, Anne Vilnat, Isabelle Robba, Arnaud Grappy
2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)  
The objective of an Answer Validation task is to estimate the correctness of an answer returned by a QA system for a question, according to the text snippet given to support it.  ...  Question answering (QA) aims at retrieving precise information from a large collection of documents, typically the Web.  ...  Answer validation In 2006, an Answer Validation Exercise (AVE) 1 was introduced in the evaluation campaign CLEF, which aimed 1 http://nlp.uned.es/QA/AVE/ at automatically validating the correctness of  ... 
doi:10.1109/wi.2007.97 dblp:conf/webi/LigozatGVRG07 fatcat:vdxsvdnqcvbanooelxhb2na77e

QA4MRE 2011-2013: Overview of Question Answering for Machine Reading Evaluation [chapter]

Anselmo Peñas, Eduard Hovy, Pamela Forner, Álvaro Rodrigo, Richard Sutcliffe, Roser Morante
2013 Lecture Notes in Computer Science  
This was the attempt of the QA4MRE challenge which was run as a Lab at CLEF 2011-2013.  ...  The traditional QA task was replaced by a new Machine Reading task, whose intention was to ask questions that required a deep knowledge of individual short texts and in which systems were required to choose  ...  Anselmo Peñas and Álvaro Rodrigo have been partially supported by the Research Network MA2VICMR (S2009/TIC-1542) and READERS project (CHIST-ERA).  ... 
doi:10.1007/978-3-642-40802-1_29 fatcat:5p2elqqoxzawfk3s54qzdiwsmq

Answer Validation on English and Romanian Languages [chapter]

Adrian Iftene, Alexandra Balahur
2009 Lecture Notes in Computer Science  
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  ...  In this year's AVE competition we also participated with a system working in Romanian, using a Textual Entailment (TE) system working on Romanian.  ...  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

University of Hagen at QA@CLEF 2006: Answer Validation Exercise

Ingo Glöckner
2006 Conference and Labs of the Evaluation Forum  
The paper features MAVE (MultiNet answer verification), a system for validating results of question-answering systems which serves as a testbed for robust knowledge processing based on multi-layered extended  ...  The system utilizes logical inference rather than graph matching for recognising textual entailment, which makes it easily extensible by further knowledge encoded in logical axioms.  ...  Introduction 1.System description MAVE is a knowledge-based system for answer validation which uses deep linguistic processing and logical inference for recognising textual entailment.  ... 
dblp:conf/clef/Glockner06a fatcat:tziyw7t5lrhu5izkkh6ymx7kne

Towards an Automatic Text Comprehension for the Arabic Question-Answering: Semantic and Logical Representation of Texts

Wided Bakari, Patrice Bellot, Mahmoud Neji
2018 Pacific Asia Conference on Language, Information and Computation  
Therefore, we propose a new approach for the Arabic question-answering.  ...  The use of this task in questionanswering requires that the result must be the accurate answer to a question, instead of a number of references to documents that contain the answer.  ...  ., 2012] is implemented through a three-level approach to enhance the Passage Retrieval (PR) stage. It Includes the Recognizing Textual Entailment (RTE) and Answer Validation tasks.  ... 
dblp:conf/paclic/BakariBN18 fatcat:ccwlvhwsp5hkdgy5z34fa7ariq

Automatic Semantic Analysis for NLP Applications

Ingo Glückner, Sven Hartrumpf, Hermann Helbig, Johannes Leveling, Rainer Osswald
2007 Zeitschrift für Sprachwissenschaft  
AbstractIn this article, we describe a long-term enterprise at the FernUniversität in Hagen to develop systems for the automatic semantic analysis of natural language.  ...  We introduce the underlying semantic framework and give an overview of several recent activities and projects covering natural language interfaces to information providers on the web, automatic knowledge  ...  In the QA tracks at CLEF 2004 CLEF , 2005 CLEF , and 2006 , InSicht was one of the best German QA systems.  ... 
doi:10.1515/zfs.2007.019 fatcat:kkrm6ssqzjbxnbqrr7sggqrdie

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

Multiple Choice Question (MCQ) Answering System for Entrance Examination

Somnath Banerjee, Pinaki Bhaskar, Partha Pakray, Sivaji Bandyopadhyay, Alexander F. Gelbukh
2013 Conference and Labs of the Evaluation Forum  
Each retrieved sentence defines the Text T. Each T-H pair is assigned a ranking score that works on textual entailment principle.  ...  A matching score is automatically assigned to each answer options based on the matching. A parallel procedure also generates the possible answer patterns from given questions and answer options.  ...  We acknowledge the support of the DST India-CONACYT Mexico project "Answer Validation through Textual Entailment" funded by DST, Government of India and the Department of Electronics and Information Technology  ... 
dblp:conf/clef/BanerjeeBPBG13 fatcat:sfdo5ttmajcqnagfoxnmurqyu4

Multiple Choice Question (MCQ) Answering for Machine Reading Evaluation

Pinaki Bhaskar, Somnath Banerjee, Partha Pakray, Samadrita Banerjee, Sivaji Bandyopadhyay, Alexander F. Gelbukh
2013 Conference and Labs of the Evaluation Forum  
Each retrieved sentence defines the Text T. Each T-H pair is assigned a ranking score that works on textual entailment principle.  ...  In the developed system, we first combine the question Q and each candidate answer option A to form (Q , A) pair. Each pair has been considered a Hypothesis (H).  ...  We acknowledge the support of the support of the Department of Electronics and Information Technology (DeitY), Ministry of Communications & Information Technology (MCIT), Government of India funded project  ... 
dblp:conf/clef/BhaskarBPBBG13 fatcat:mu2nutmlhzfrjklfdsbmtm5gv4
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