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A perspective-based approach for solving textual entailment recognition

Óscar Ferrández, Daniel Micol, Rafael Muñoz, Manuel Palomar
2007 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing - RTE '07   unpublished
The textual entailment recognition system that we discuss in this paper represents a perspective-based approach composed of two modules that analyze text-hypothesis pairs from a strictly lexical and syntactic  ...  We attempt to prove that the textual entailment recognition task can be overcome by performing individual analysis that acknowledges us of the maximum amount of information that each single perspective  ...  Acknowledgments This research has been partially funded by the QALL-ME consortium, which is a 6 th Framework Research Programme of the European Union (EU), contract number FP6-IST-033860 and by the Spanish  ... 
doi:10.3115/1654536.1654551 fatcat:dcgbquaypjfmlohspbez2yrm4e

Different Models and Approaches of Textual Entailment Recognition

Mohamed H., Marwa M.A., Ahmed Mohammed
2016 International Journal of Computer Applications  
The process of inferring a text from another is called textual entailment.  ...  This paper summarizes key ideas from the area of textual entailment recognition by considering in turn the different recognition models.  ...  Using Minimal Recursion Semantics for It solves the problem of textual Recognition using Minimal Recursion Semantics (MRS) MOD 3 Entailment Recognition representations for the task of recognizing textual  ... 
doi:10.5120/ijca2016909667 fatcat:cvjzyyidyjfmdnu2rjpgjao53y

A Graph-Based Textual Entailment Method Aware of Real-World Knowledge [chapter]

Saúl León, Darnes Vilariño, David Pinto, Mireya Tovar, Beatriz Beltrán
2015 Lecture Notes in Computer Science  
In this paper we propose an unsupervised methodology to solve the textual entailment task, that extracts facts associated to pair of sentences. Those extracted facts are represented as a graph.  ...  The comparison method is based on graph-based algorithms for finding sub-graphs structures inside another graph, but generalizing the concepts by means of a real world knowledge database.  ...  hold in the terms with the purpose of having more efficient methods for the automatic recognition of textual entailment.  ... 
doi:10.1007/978-3-319-19264-2_21 fatcat:elx35lalvbdxpmp3twl2sfjxc4

Recognizing textual entailment: Rational, evaluation and approaches

IDO DAGAN, BILL DOLAN, BERNARDO MAGNINI, DAN ROTH
2009 Natural Language Engineering  
Work in this area has been largely driven by the PASCAL Recognizing Textual Entailment (RTE) challenges, which are a series of annual competitive meetings.  ...  The goal of identifying textual entailment -whether one piece of text can be plausibly inferred from another -has emerged in recent years as a generic core problem in natural language understanding.  ...  As for the future of this area, we believe that the long-term goal of textual entailment research is the development of robust entailment 'engines'.  ... 
doi:10.1017/s1351324909990209 fatcat:t7rpxvcw2jfpbbxzrejk6expuu

Recognizing textual entailment: Rational, evaluation and approaches – Erratum

IDO DAGAN, BILL DOLAN, BERNARDO MAGNINI, DAN ROTH
2010 Natural Language Engineering  
Work in this area has been largely driven by the PASCAL Recognizing Textual Entailment (RTE) challenges, which are a series of annual competitive meetings.  ...  The goal of identifying textual entailment -whether one piece of text can be plausibly inferred from another -has emerged in recent years as a generic core problem in natural language understanding.  ...  As for the future of this area, we believe that the long-term goal of textual entailment research is the development of robust entailment 'engines'.  ... 
doi:10.1017/s1351324909990234 fatcat:agnw7jv43jhjhdhd4nibnba6fe

Argumentation Mining

Marie-Francine Moens
2007 Proceedings of the 5th 2013 Forum on Information Retrieval Evaluation - FIRE '13  
This paper gives a short overview of the state-of-the-art and goals of argumentation mining and it provides ideas for further research.  ...  Its content is based on two invited lectures on argumentation mining respectively at the FIRE 2013 conference at the India International Center in New Delhi, India and a lecture given as SICSA distinguished  ...  ACKNOWLEDGEMENTS We want to thank the organizers of the FIRE conference for their kind invitation to give a lecture on argumentation mining and to thank the Scottish Informatics & Computer Science Alliance  ... 
doi:10.1145/2701336.2701635 dblp:conf/fire/Moens13 fatcat:63i6obphgzgvnmzxtmtr3e354m

Recognizing Textual Entailment: Challenges in the Portuguese Language

Gil Rocha, Henrique Lopes Cardoso
2018 Information  
As in many NLP tasks, textual entailment corpora for English abound, while the same is not true for more resource-scarce languages such as Portuguese.  ...  Exploiting what seems to be the only Portuguese corpus for textual entailment and paraphrases (the ASSIN corpus), in this paper, we address the task of automatically recognizing textual entailment (RTE  ...  Henrique Lopes Cardoso has supervised the work, namely for defining the methods proposed, designing the experimental settings and analyzing results.  ... 
doi:10.3390/info9040076 fatcat:e7n6olpwvjbbjpo3wjss5wkoxy

High-Tech Start-Ups in Japan: Cogent Labs, AI-OCR Solutions for Automated Business Process Outsourcing

Jorge Calvo
2018 International Journal of Entrepreneurial Knowledge  
That requires to harmonize the entrepreneurial and managerial capacity, by a collaborative approach integrating cross-functional product teams.  ...  Tegaki AI triggers non-strategic business decisions through optical character recognition (OCR) and optical handwriting recognition (OHR) algorithms that show 99.2% accuracy.  ...  A document scanning approach enables digitization of limited sets of printable elements such as typed textual data.  ... 
doi:10.2478/ijek-2018-0011 fatcat:adztw7j62vbg5iisauw3zlfylq

Editorial

David Pinto, Dárnes Villariño, Beatríz Beltrán
2018 Journal of Computacion y Sistemas  
This paper approaches the recognition of Textual Entailment as a Natural Language Processing task, which is in fact very important in other tasks such as Semantic Search and Text Summarization.  ...  Pérez et al. from Mexico in their paper "A Storage Pattern-Based Heuristic Algorithm for Solving Instances of Hard28 Datasets for the Bin Packing Problem" propose a heuristic algorithm that solves some  ... 
doi:10.13053/cys-22-1-2924 fatcat:f6zztisw3vf6pht7lm4oi54wby

HIGH-TECH START-UPS IN JAPAN: COGENT LABS, AI-OCR SOLUTIONS FOR AUTOMATED BUSINESS PROCESS OUTSOURCING

Jorge Calvo
2018 International Journal of Entrepreneurial Knowledge  
That requires to harmonize the entrepreneurial and managerial capacity, by a collaborative approach integrating cross-functional product teams.  ...  Tegaki AI triggers non-strategic business decisions through optical character recognition (OCR) and optical handwriting recognition (OHR) algorithms that show 99.2% accuracy.  ...  A document scanning approach enables digitization of limited sets of printable elements such as typed textual data.  ... 
doi:10.37335/ijek.v6i2.75 fatcat:zx2le3takrdjxd5jmitmf5ecra

Recognizing Textual Entailment [chapter]

Mark Sammons
2015 The Handbook of Contemporary Semantic Theory  
[50] define a focused textual entailment approach, SERR (Scalable Entailment Relation Recognition), that consists of two stages: semantic retrieval and entailment recognition.  ...  [26] propose a framework for recognizing textual entailment based on extraction of implicit beliefs or discourse commitments.  ... 
doi:10.1002/9781118882139.ch17 fatcat:h5hpwxywa5gc7nyenwmsq3wlay

Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs [article]

Ana Marasović, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi
2020 arXiv   pre-print
Our experiments show that the base pretrained language model benefits from visual adaptation and that free-text rationalization is a promising research direction to complement model interpretability for  ...  We present the first study focused on generating natural language rationales across several complex visual reasoning tasks: visual commonsense reasoning, visual-textual entailment, and visual question  ...  Acknowledgments The authors thank Sarah Pratt for her assistance with the grounded situation recognizer, Amandalynne Paullada, members of the AllenNLP team, and anonymous reviewers for helpful feedback  ... 
arXiv:2010.07526v1 fatcat:6vafbtt34rccrfly327tjr4pwe

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.  ...  Experiments on three different configurations show that the MCP-based approach achieves remarkable improvement on contradiction detection and can significantly improve the performance of textual entailment  ...  Head-modifier word pair based textual entailment recognition Input: word pair WP T = {h T , m T } and WP H = {h H , m H } where h T , m T ∈ T and h H , m H ∈ H Output: The word pair entailment relation  ... 
doi:10.1145/2382593.2382599 fatcat:6x6d34a3n5cx3hz7vdyr5z2plm

A New Dataset for Natural Language Inference from Code-mixed Conversations [article]

Simran Khanuja, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury
2020 arXiv   pre-print
We evaluate the dataset using a standard mBERT-based pipeline for NLI and report results.  ...  Natural Language Inference (NLI) is the task of inferring the logical relationship, typically entailment or contradiction, between a premise and hypothesis.  ...  Most of the prominent datasets that are used to solve NLI problems involve learning textual entailment wherein we determine whether a hypothesis is entailed in or contradicts a textual document (Zhang  ... 
arXiv:2004.05051v2 fatcat:gwic2jrs3zhqnbpawjwhd6xhrq

APR: Architectural Pattern Recommender [article]

Shipra Sharma, Balwinder Sodhi
2018 arXiv   pre-print
Central idea of APR's design is two folds: a) transform the unstructured information about software architecture design into a structured form which is suitable for recognizing textual entailment between  ...  APR makes use of both the above elements to identify a suitable architectural pattern and assess its suitability for a given set of requirements.  ...  We make use of a textual entailment recognizer tool -EOP [8] for this purpose.  ... 
arXiv:1803.08666v1 fatcat:za7s552m4faexarvoselkq6tpq
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