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Methods for using textual entailment in open-domain question answering

Sanda Harabagiu, Andrew Hickl
2006 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06  
In this paper, we demonstrate how computational systems designed to recognize textual entailment can be used to enhance the accuracy of current open-domain automatic question answering (Q/A) systems.  ...  Work on the semantics of questions has argued that the relation between a question and its answer(s) can be cast in terms of logical entailment.  ...  Government and any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the U.S. Government.  ... 
doi:10.3115/1220175.1220289 dblp:conf/acl/HarabagiuH06 fatcat:n4pi7udygzgtfji4aveenpnjyq

Sagan in TAC2010: A Machine Learning Approach to RTE within a Corpus

Julio Javier Castillo
2010 Text Analysis Conference  
This paper describes the Sagan system in the context of the Sixth Pascal Recognizing Textual Entailment (RTE6) and the RTE task within a Corpus.  ...  Additionally, we proposed a baseline to the Novelty Detection subtask.  ...  The system is based on a machine learning approach for recognizing textual entailment.  ... 
dblp:conf/tac/Castillo10 fatcat:7imuascqpjbuxa5cewvue3ojiq

Rule Chaining and Approximate Match in textual inference

Asher Stern, Eyal Shnarch, Shachar Mirkin, Lili Kotlerman, Naomi Zeichner, Ido Dagan, Amnon Lotan, Jonathan Berant
2010 Text Analysis Conference  
This paper describes the participation of Bar-Ilan university in the sixth RTE challenge.  ...  Our textual-entailment engine, BiuTee , was enhanced with new components that introduce chaining of lexical-entailment rules, and tackle the problem of approximately matching the text and the hypothesis  ...  Acknowledgements This work was partially supported by the Negev Consortium of the Israeli Ministry of Industry, Trade and Labor, the PASCAL-2 Network of Excellence of the European Community FP7-ICT-2007  ... 
dblp:conf/tac/0001SMKZDLB10 fatcat:ksxekxxbqrevlmjifea5fiuqwu

Recognizing entailment in intelligent tutoring systems

2009 Natural Language Engineering  
This paper describes a new method for recognizing whether a student's response to an automated tutor's question entails that they understand the concepts being taught.  ...  these issues, breaking them into detailed facets and annotating their entailment relationships to the student's answer more precisely.  ...  Paraphrasing is the most common means for a learner to express a correct answer in an alternative form, and Burger and Ferro (2005) note that even in the Pascal recognizing textual entailment (RTE) challenge  ... 
doi:10.1017/s135132490999012x fatcat:z3yklrzo5zbapjhnqbtkeptcva

Blaise Pascal

Richard Parish
2017 French Studies  
Any état présent of Blaise Pascal (1623-62) is bound to start with an acknowledgement of the insuperable editorial difficulties thrown up by the most important text in the Pascalian canon, known, albeit  ...  This is the É loge et Pensées de Pascal, in which parts of the 1670 text, disingenuously introduced and explicated by Condorcet, were then annotated two years later, with  ...  The Provinciales were scheduled to constitute the fifth volume and the Pensées the sixth, before a final volume devoted to 'L'Héritage de Pascal'.  ... 
doi:10.1093/fs/knx215 fatcat:3dkkw7wbb5ewjetwnbaro4di4e

Benchmarking Machine Reading Comprehension: A Psychological Perspective [article]

Saku Sugawara, Pontus Stenetorp, Akiko Aizawa
2021 arXiv   pre-print
However, the conventional task design of MRC lacks explainability beyond the model interpretation, i.e., reading comprehension by a model cannot be explained in human terms.  ...  validity by shortcut-proof questions and explanation as a part of the task design.  ...  Acknowledgments The authors would like to thank Xanh Ho for helping create the dataset list and the anonymous reviewers for their insightful comments.  ... 
arXiv:2004.01912v2 fatcat:lyypngwm4vbk7igfcjfmhkn5ja

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP [article]

Qinyuan Ye, Bill Yuchen Lin, Xiang Ren
2021 arXiv   pre-print
Our analysis reveals that the few-shot learning ability on unseen tasks can be improved via an upstream learning stage using a set of seen tasks.  ...  We also observe that the selection of upstream learning tasks can significantly influence few-shot performance on unseen tasks, asking further analysis on task similarity and transferability.  ...  The third pascal recognizing textual entailment challenge. In Proceedings of the ACL-PASCAL workshop on textual entailment and paraphrasing, pages 1-9.  ... 
arXiv:2104.08835v2 fatcat:xnhrmmsmyzb4fjo7ealrw2vnka

Computational Literacy and "The Big Picture" Concerning Computers in Mathematics Education

Andrea A. diSessa
2018 Mathematical Thinking and Learning  
I develop the big-picture model of computation as a new literacy in some detail and with concrete examples of sixth grade students learning the mathematics of motion.  ...  The principles that define computational literacy also serve as an analytical framework to examine competitive big pictures, and I use them to consider the plausibility, power, and limitations of other  ...  The decades of work that led to the perspective presented here could not have happened without the support of research grants from the National Science Foundation and the Spencer Foundation, or without  ... 
doi:10.1080/10986065.2018.1403544 fatcat:3mop6r6vkrh2jizjyeugbswjwm

Effectively using syntax for recognizing false entailment

Rion Snow, Lucy Vanderwende, Arul Menezes
2006 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics -   unpublished
We present a novel framework for recognizing textual entailment that focuses on the use of syntactic heuristics to recognize false entailment.  ...  Recognizing textual entailment is a challenging problem and a fundamental component of many applications in natural language processing.  ...  Also, thanks to Robert Ragno for assistance with the MSN Search API. Rion Snow is supported by an NDSEG Fellowship sponsored by the DOD and AFOSR.  ... 
doi:10.3115/1220835.1220840 fatcat:fd7emczg5vahfgnx4jhj4666va

SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics [article]

Hitomi Yanaka, Koji Mineshima, Kentaro Inui
2021 arXiv   pre-print
We also find that the generalization performance to unseen combinations is better when the form of meaning representations is simpler.  ...  The data and code for SyGNS are publicly available at  ...  Acknowledgement We thank the three anonymous reviewers for their helpful comments and suggestions. This work was partially supported by JSPS KAKENHI Grant Number JP20K19868.  ... 
arXiv:2106.01077v1 fatcat:g3mjlg6s7fdunipvbqb3kl6ep4

Incomplete Attribute Learning with auxiliary labels

Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen
2017 Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence  
Visual attribute learning is a fundamental and challenging problem for image understanding.  ...  By jointly predicting the attributes from the input images and modeling the relationship of attributes and auxiliary labels, the missing attributes can be recovered effectively.  ...  Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence  ... 
doi:10.24963/ijcai.2017/313 dblp:conf/ijcai/LiangGCC17 fatcat:pzdzmo5we5cntall42nz6hbjyq

Solving the problem of cascading errors

Jenny Rose Finkel, Christopher D. Manning, Andrew Y. Ng
2006 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing - EMNLP '06   unpublished
We apply our method to two tasks -semantic role labeling and recognizing textual entailment -and achieve useful performance gains from the superior pipeline architecture.  ...  The end-to-end performance of natural language processing systems for compound tasks, such as question answering and textual entailment, is often hampered by use of a greedy 1-best pipeline architecture  ...  The content does not necessarily reflect the views of the U.S. Government, and no official endorsement should be inferred.  ... 
doi:10.3115/1610075.1610162 fatcat:lkh3q6noqzajjkhm6qvgwynsg4

ANLIzing the Adversarial Natural Language Inference Dataset [article]

Adina Williams, Tristan Thrush, Douwe Kiela
2020 arXiv   pre-print
challenging for state of-the-art models?  ...  We propose a fine-grained annotation scheme of the different aspects of inference that are responsible for the gold classification labels, and use it to hand-code all three of the ANLI development sets  ...  Acknowledgements Special thanks to Naman Goyal for converting the R2 and R3 RoBERTa models to something modern fairseq can load.  ... 
arXiv:2010.12729v1 fatcat:cikh4p5qpjagfp7qajkicvs4a4

Textual Cultures 12.2

Marta L. Werner
2019 Textual Cultures  
Luigi Poma recognized V1 as the direct ancestor of Pietro Maria Marchetti's edition (1593). SeeGuasti 1853-1855. Textual Cultures 12.2 (2019): 131-135.  ...  MS 301) of the Histoire ancienne entailed a scrupulous refashioning of the linguistic form of the text.  ...  Three prizes given by the STS recognize outstanding work in the field: The Fredson Bowers Prize is awarded for a distinguished essay in textual scholarship published in the previous two calendar years.  ... 
doi:10.14434/textual.v12i2.28670 fatcat:tqs2zijeajezri77zcfhd4rzyq

Multi-domain machine translation enhancements by parallel data extraction from comparable corpora [article]

Krzysztof Wołk, Emilia Rejmund, Krzysztof Marasek
2016 arXiv   pre-print
Evaluation of the quality of the created corpora was performed by analysing the impact of their use on statistical machine translation systems.  ...  Experiments were presented on the basis of the Polish-English language pair for texts from different domains, i.e. lectures, phrasebooks, film dialogues, European Parliament proceedings and texts contained  ...  What is more Pal, Pakray and Naskar (2014) introduce an automatic alignment method of parallel text fragments by using a textual entailment technique and a phrase-base Statistical Machine Translation (  ... 
arXiv:1603.06785v1 fatcat:abqk27txlvgcnnrs2zqkw2ydna
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