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Recognizing Textual Entailment Using Probabilistic Inference

Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang
<span title="">2015</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u3ideoxy4fghvbsstiknuweth4" style="color: black;">Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing</a> </i> &nbsp;
Recognizing Text Entailment (RTE) plays an important role in NLP applications including question answering, information retrieval, etc.  ...  We also construct a probabilistic network for all the facts and conduct inference to judge the confidence of each fact for RTE.  ...  Conclusion This paper introduced a new framework to solve the Textual Entailment Recognizing task. This framework makes full use of Markov logic network for probabilistic inference.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/d15-1185">doi:10.18653/v1/d15-1185</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/emnlp/ShaLCSJ15.html">dblp:conf/emnlp/ShaLCSJ15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d5llrqqvhndmhgb52otxr2q4n4">fatcat:d5llrqqvhndmhgb52otxr2q4n4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829020059/http://www.aclweb.org/anthology/D/D15/D15-1185.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/78/82/78821ed420ead11c47f72dbbac7f67e17ecf3a58.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/d15-1185"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Lexical Alignment Model for Probabilistic Textual Entailment [chapter]

Oren Glickman, Ido Dagan, Moshe Koppel
<span title="">2006</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
The paper proposes first a general probabilistic setting that formalizes the notion of textual entailment.  ...  This paper describes the Bar-Ilan system participating in the Recognising Textual Entailment Challenge.  ...  Within the applied textual entailment framework, a text t is said to entail a textual hypothesis h if the truth of h can be most likely inferred from t.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11736790_16">doi:10.1007/11736790_16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ulgsf26t2zhhbkmofwf2ncjaha">fatcat:ulgsf26t2zhhbkmofwf2ncjaha</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20140920005155/http://u.cs.biu.ac.il/~nlp/downloads/publications/LexicalAlignmentModel.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/98/86/988639a4f5bee51c7d737818d57a42e95475e000.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11736790_16"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic

Islam Beltagy, Stephen Roller, Gemma Boleda, Katrin Erk, Raymond Mooney
<span title="">2014</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/aa3ggf3tbjarfj2zylzuxxqvdi" style="color: black;">Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)</a> </i> &nbsp;
We use Markov Logic Networks (MLN) for the RTE task, and Probabilistic Soft Logic (PSL) for the STS task. The system is evaluated on the SICK dataset.  ...  We represent natural language semantics by combining logical and distributional information in probabilistic logic.  ...  Recognizing Textual Entailment Recognizing Textual Entailment (RTE) is the task of determining whether one natural language text, the premise, Entails, Contradicts, or is not related (Neutral) to another  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3115/v1/s14-2141">doi:10.3115/v1/s14-2141</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/semeval/BeltagyRBEM14.html">dblp:conf/semeval/BeltagyRBEM14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jd37wdsglfdhxgqyqzbrzx3mwy">fatcat:jd37wdsglfdhxgqyqzbrzx3mwy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150910091554/http://www.cs.utexas.edu/users/ml/papers/beltagy.semeval14.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/26/47/2647a8f37fcca9092ca919d69c90250ec02039f7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3115/v1/s14-2141"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Recognizing textual entailment: Rational, evaluation and approaches – Erratum

IDO DAGAN, BILL DOLAN, BERNARDO MAGNINI, DAN ROTH
<span title="">2010</span> <i title="Cambridge University Press (CUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ugfrgjxxffftblvvdh5ko6pyum" style="color: black;">Natural Language Engineering</a> </i> &nbsp;
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.  ...  Such engines will be used as a generic component in many text-understanding applications, encapsulating all the required semantic inferences, analogous to the use of part-ofspeech taggers and syntactic  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/s1351324909990234">doi:10.1017/s1351324909990234</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/agnw7jv43jhjhdhd4nibnba6fe">fatcat:agnw7jv43jhjhdhd4nibnba6fe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180728110553/https://www.cambridge.org/core/services/aop-cambridge-core/content/view/A8332663248862777F4665C08BA33E9F/S1351324909990234a.pdf/div-class-title-recognizing-textual-entailment-rational-evaluation-and-approaches-erratum-div.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ff/0e/ff0ea2f6a08d4fdc240e27f716749584dcf047b8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/s1351324909990234"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> cambridge.org </button> </a>

Recognizing textual entailment: Rational, evaluation and approaches

IDO DAGAN, BILL DOLAN, BERNARDO MAGNINI, DAN ROTH
<span title="2009-11-17">2009</span> <i title="Cambridge University Press (CUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ugfrgjxxffftblvvdh5ko6pyum" style="color: black;">Natural Language Engineering</a> </i> &nbsp;
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.  ...  Such engines will be used as a generic component in many text-understanding applications, encapsulating all the required semantic inferences, analogous to the use of part-ofspeech taggers and syntactic  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/s1351324909990209">doi:10.1017/s1351324909990209</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t7rpxvcw2jfpbbxzrejk6expuu">fatcat:t7rpxvcw2jfpbbxzrejk6expuu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20140901190550/http://u.cs.biu.ac.il/~dagan/publications/RTE%20Special%20issue%20organizers%20final%20from%20journal-download.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/41/aa/41aa047d94c91674cccad645759fd4e06ad8f6be.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/s1351324909990209"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> cambridge.org </button> </a>

Techniques for Recognizing Textual Entailment and Semantic Equivalence [chapter]

Jesús Herrera, Anselmo Peñas, Felisa Verdejo
<span title="">2006</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
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.  ...  Introduction The concept "textual entailment" is used to indicate the state in which the semantics of a natural language written text can be inferred from the semantics of another one.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11881216_44">doi:10.1007/11881216_44</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x2jutqmtivfthcrhv6nntu6avi">fatcat:x2jutqmtivfthcrhv6nntu6avi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20061001230210/http://nlp.uned.es/pergamus/pubs/Herrera_Pe~nas_Verdejo_CAEPIA05_ENG_camera_ready.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/15/50/1550b7237ce1bcafbfc41e475780e2e18188d3a3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11881216_44"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Recognizing Textual Entailment: Models and Applications

Ido Dagan, Dan Roth, Mark Sammons, Fabio Massimo Zanzotto
<span title="2013-07-19">2013</span> <i title="Morgan &amp; Claypool Publishers LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5f5wd6jpcnghzkljhapvb63kju" style="color: black;">Synthesis Lectures on Human Language Technologies</a> </i> &nbsp;
With this perspective the book targets not only people interested in textual entailment but people interested in semantic inference and semantic processing at large, intended as a core capability of natural  ...  Recognizing textual entailment (RTE) has been proposed as a task in computational linguistics under a successful series of annual evaluation campaigns started in 2005 with the Pascal RTE-1 shared task.  ...  Chapter 2 introduces architecture and approaches proposed for recognizing textual entailment.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2200/s00509ed1v01y201305hlt023">doi:10.2200/s00509ed1v01y201305hlt023</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cnhrg3lbmzgt3icwdbzkoh4pq4">fatcat:cnhrg3lbmzgt3icwdbzkoh4pq4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829065719/https://aclweb.org/anthology/J/J15/J15-1008.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c3/f5/c3f5a63110432463b02f4a128fda32b4235b0330.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2200/s00509ed1v01y201305hlt023"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

The PASCAL Recognising Textual Entailment Challenge [chapter]

Ido Dagan, Oren Glickman, Bernardo Magnini
<span title="">2006</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
The RTE task is defined as recognizing, given two text fragments, whether the meaning of one text can be inferred (entailed) from the other.  ...  This paper describes the PASCAL Network of Excellence Recognising Textual Entailment (RTE) Challenge benchmark 1 .  ...  Acknowledgements The following sources were used in the preparation of the data: Document Understanding Conferences (DUC) 2004 Machine Translation We would like to thank the people and organizations that  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11736790_9">doi:10.1007/11736790_9</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u4kss3ae5zat7dpcscasygapeq">fatcat:u4kss3ae5zat7dpcscasygapeq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20070206055633/http://www.cs.biu.ac.il:80/~glikmao/rte05/dagan_et_al.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b8/60/b860d66221283cd29c657a58f4585943a5262f51.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11736790_9"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Recognizing Textual Entailment via Multi-task Knowledge Assisted LSTM [chapter]

Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui
<span title="">2016</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
For alleviating the above problems, some work use LSTM-based recurrent neural network with word-by-word attention to recognize textual entailment.  ...  Recognizing Textual Entailment (RTE) plays an important role in NLP applications like question answering, information retrieval, etc.  ...  Conclusion In this paper, we use a multi-task architecture to recognize textual entailment.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-47674-2_24">doi:10.1007/978-3-319-47674-2_24</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4i5q7bw47nhkhnan2kplm25wxe">fatcat:4i5q7bw47nhkhnan2kplm25wxe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218082746/http://pdfs.semanticscholar.org/0a5a/d27461c93fefd2665e550776417f416997d4.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0a/5a/0a5ad27461c93fefd2665e550776417f416997d4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-47674-2_24"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Feature based Entailment Recognition for Malayalam Language Texts

Sara Renjit, Sumam Mary Idicula
<span title="">2022</span> <i title="The Science and Information Organization"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2yzw5hsmlfa6bkafwsibbudu64" style="color: black;">International Journal of Advanced Computer Science and Applications</a> </i> &nbsp;
Textual entailment is a relationship between two text fragments, namely, text/premise and hypothesis.  ...  This work deals with various machine learning approaches applied to textual entailment recognition or natural language inference for Malayalam, a South Indian low resource language.  ...  Traditional features and distributed representations are used for recognizing textual entailment in Arabic [20] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14569/ijacsa.2022.0130283">doi:10.14569/ijacsa.2022.0130283</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3mugz2kpebepllwiryiyrouufm">fatcat:3mugz2kpebepllwiryiyrouufm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220426212245/https://thesai.org/Downloads/Volume13No2/Paper_83-Feature_based_Entailment_Recognition_for_Malayalam_Language.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/83/82/83825286e48338494d00806977465cbcdf6ff705.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14569/ijacsa.2022.0130283"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

The Excitement Open Platform for Textual Inferences

Bernardo Magnini, Roberto Zanoli, Ido Dagan, Kathrin Eichler, Guenter Neumann, Tae-Gil Noh, Sebastian Padó, Asher Stern, Omer Levy
<span title="">2014</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5n6volmnonf5tn6xputi5f2t3e" style="color: black;">Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations</a> </i> &nbsp;
This paper presents the Excitement Open Platform (EOP), a generic architecture and a comprehensive implementation for textual inference in multiple languages.  ...  Use Case 4: Educational Use. The fourth and final use case is as an educational tool to support academic courses and projects on Recognizing Textual Entailment and inference more generally.  ...  Use Case 2: Textual Entailment Development.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3115/v1/p14-5008">doi:10.3115/v1/p14-5008</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/acl/MagniniZDENNP0L14.html">dblp:conf/acl/MagniniZDENNP0L14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qh4a3fauqvdjpixpo22zqbt46u">fatcat:qh4a3fauqvdjpixpo22zqbt46u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170706070906/http://www.dfki.de/~neumann/publications/new-ps/EOP_Demo_ACL2014.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d7/37/d737c8f5a8006357a8d2686ae7c6b978f7a79d47.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3115/v1/p14-5008"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Probabilistic Soft Logic for Semantic Textual Similarity

Islam Beltagy, Katrin Erk, Raymond Mooney
<span title="">2014</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5n6volmnonf5tn6xputi5f2t3e" style="color: black;">Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</a> </i> &nbsp;
We use PSL to combine logical and distributional representations of natural-language meaning, where distributional information is represented in the form of weighted inference rules.  ...  Probabilistic Soft Logic (PSL) is a recently developed framework for probabilistic logic.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the view of DARPA, DoD or the US government.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3115/v1/p14-1114">doi:10.3115/v1/p14-1114</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/acl/BeltagyEM14.html">dblp:conf/acl/BeltagyEM14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3hn27vsjnffi7cqsxa2tlenula">fatcat:3hn27vsjnffi7cqsxa2tlenula</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150514103747/http://www.aclweb.org/anthology/P/P14/P14-1114.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/df/ce/dfceb1948784ae92bcd2710250aea7e48097409f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3115/v1/p14-1114"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

An Approach for Textual Entailment Recognition Based on Stacking and Voting [chapter]

Zornitsa Kozareva, Andrés Montoyo
<span title="">2006</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
This paper presents a machine-learning approach for the recognition of textual entailment. For our approach we model lexical and semantic features.  ...  The obtained results demonstrate that an ensemble of classifiers achieves higher accuracy than an individual classifier and comparable results to already existing textual entailment systems.  ...  We placed these systems, so that a general overview for the ability of the systems to recognize textual entailment can be obtained.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11925231_85">doi:10.1007/11925231_85</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/glcwqhl35rdo5o56vwwgf34r5u">fatcat:glcwqhl35rdo5o56vwwgf34r5u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20110920003551/http://www.isi.edu:80/~kozareva/papers/micai06te.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cf/3e/cf3e97fc75d85d1300fdfa7be3b13462a39898e1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11925231_85"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Representing Meaning with a Combination of Logical and Distributional Models [article]

I. Beltagy, Stephen Roller, Pengxiang Cheng, Katrin Erk, Raymond J. Mooney
<span title="2016-06-08">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To evaluate our approach, we use the task of textual entailment (RTE), which can utilize the strengths of both logic-based and distributional representations.  ...  In particular, we use our system to evaluate distributional lexical entailment approaches. We use a variant of Robinson resolution to determine the necessary inference rules.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the view of DARPA, DoD or the US government.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1505.06816v5">arXiv:1505.06816v5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/y324cj2udzbrtovcpy5mq7akdi">fatcat:y324cj2udzbrtovcpy5mq7akdi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200911151403/https://arxiv.org/pdf/1505.06816v5.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e3/a2/e3a2d71476546a41ee3babb732e0588b55ab94ed.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1505.06816v5" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Textual Entailment for Arabic Language based on Lexical and Semantic Matching

Mariam Khader, Arafat Awajan, Akram Alkouz
<span title="2016-09-26">2016</span> <i title="International Journal of Computing and Information Sciences"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nml3o7nojrfcjh7yiadzeujnha" style="color: black;">International Journal of Computing and Information Sciences</a> </i> &nbsp;
The system has been evaluated by measuring precision and recall, those two metrics are the main evaluation measures used in Recognizing Textual Entailmen challenge number 2 to evaluate participated systems  ...  Textual Entailment is one of the recent natural language processing challenges, where the meaning of an expression "Hypothesis" could be entailed by the meaning of another expression "Text".  ...  The RTE Challenges: In 2005, Recognizing Textual Entailment (RTE) challenges have been organized for Textual Entailment systems competition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21700/ijcis.2016.109">doi:10.21700/ijcis.2016.109</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4qtoznozyfc37lkjj4fd7jeck4">fatcat:4qtoznozyfc37lkjj4fd7jeck4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721184433/http://www.ijcis.info/Vol12N1/Vol12N1PP67-74OK.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c2/96/c2968e4a27d0ea9e458d9477f3c8e93ea33781f0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21700/ijcis.2016.109"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>
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