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TEXTUAL ENTAILMENT USING LEXICAL AND SYNTACTIC SIMILARITY
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In: http://airccse.org/journal/ijaia/papers/0111ijaia04.pdf (2011)
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Abstract:
A two-way Textual Entailment (TE) recognition system that uses lexical and syntactic features has been described in this paper. The TE system is rule based that uses lexical and syntactic similarities. The important lexical similarity features that are used in the present system are: WordNet based uni-gram match, bi-gram match, longest common sub-sequence, skip-gram, stemming. In the syntactic TE system, the important features used are: subject-subject comparison, subject-verb comparison, object-verb comparison and cross subject-verb comparison. The system has been separately trained on each development corpus released as part of the Recognising Textual Entailment (RTE) competitions RTE-1, RTE-2, RTE-3 and RTE-5 and tested on the respective RTE test sets. No separate development data was released in RTE-4. The evaluation results on each test set are compared with the RTE systems that participated in the respective RTE competitions with lexical and syntactic approaches.
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Keyword:
Dependency Parsing; Lexical Similarity; RTE data sets; Syntactic Similarity; System Evaluation
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.2630
http://airccse.org/journal/ijaia/papers/0111ijaia04.pdf
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| 2 |
Entailment-based Fully Automatic Technique for Evaluation of Summaries
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In: http://www.micai.org/rcs/2013_65/Entailment-based+Fully+Automatic+Technique+for+Evaluation+of+Summaries.pdf
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Recognizing Textual Entailment in Non-English Text via Automatic Translation into English
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In: http://www.gelbukh.com/CV/Publications/2013/Recognizing Textual Entailment in Non-English Text via Automatic Translation into English.pdf
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| 4 |
Department
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In: http://www.nist.gov/tac/publications/2009/participant.papers/JU_CSE_TAC.proceedings.pdf
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Automatic Building and Using Parallel Resources for SMT from Comparable Corpora
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In: http://www.aclweb.org/anthology/W/W14/W14-1009.pdf
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| 6 |
2012
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In: http://www.gelbukh.com/CV/Publications/2012/Question Answering System for QA4MRE@CLEF 2012.pdf
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A Hybrid Question Answering System based on Information Retrieval and Answer Validation
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In: http://www.gelbukh.com/CV/Publications/2011/Pakray_Clef2011.pdf
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Multiple Choice Question (MCQ) Answering System for Entrance Examination
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In: http://www.clef-initiative.eu/documents/71612/f39a1aa7-1946-4015-8732-3f22ef2d5560/
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