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A Sentence-To-Sentence Relation Network For Recognizing Textual Entailment ...
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42 |
A Sentence-To-Sentence Relation Network For Recognizing Textual Entailment ...
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43 |
Where is procedural meaning located? Evidence from discourse connectives and tenses
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In: ISSN: 0024-3841 ; Lingua, Vol. 175-176 (2016) pp. 122-138 (2016)
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44 |
Using Linguistic Knowledge to Automatically Learn Monotonicity Properties
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Morales, Michelle. - : Studies in the Linguistic Sciences, University of Illinois at Urbana-Champaign., 2016
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A Unified Kernel Approach For Learning Typed Sentence Rewritings
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In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, ; Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02281919 ; Annual Meeting of the Association for Computational Linguistics, The Association for Computer Linguistics, Jan 2015, Beijing, China. pp.939 - 949, ⟨10.3115/v1/P15-1091⟩ ; https://www.aclweb.org/anthology/P15-1091 (2015)
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LIMSI-CNRS@ CLEF 2015: Tree Edit Beam Search for Multiple Choice Question Answering.
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In: Working Notes of CLEF 2015 - Conference and Labs of the Evaluation forum ; CLEF 2015 ; https://hal.archives-ouvertes.fr/hal-02289246 ; CLEF 2015, Sep 2015, Toulouse, France ; http://ceur-ws.org/Vol-1391/ (2015)
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Towards a Linguistically-Oriented Textual Entailment Test-Suite for Polish Based on the Semantic Syntax Approach
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In: Cognitive Studies | Études cognitives; No 15 (2015); 177-191 ; 2392-2397 (2015)
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LIMSI-CNRS@ CLEF 2014: Invalidating Answers for Multiple Choice Question Answering.
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In: Working Notes for CLEF 2014 Conference, Sheffield, UK, September 15-18, 2014 ; CLEF 2014 ; https://hal.archives-ouvertes.fr/hal-02290008 ; CLEF 2014, Sep 2014, Sheffield, United Kingdom. pp.1386--1394 (2014)
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A SICK cure for the evaluation of compositional distributional semantic models
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In: http://clic.cimec.unitn.it/marco/publications/marelli-etal-sick-lrec2014.pdf (2014)
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The SICK (Sentences Involving Compositional Knowledge) dataset for relatedness and entailment ...
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The SICK (Sentences Involving Compositional Knowledge) dataset for relatedness and entailment ...
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