Exploring lexical, syntactic, and semantic features for Chinese textual entailment in NTCIR RITE evaluation tasks
نویسندگان
چکیده
منابع مشابه
Exploring lexical, syntactic, and semantic features for Chinese textual entailment in NTCIR RITE evaluation tasks
We computed linguistic information at the lexical, syntactic, and semantic levels for Recognizing Inference in Text (RITE) tasks for both traditional and simplified Chinese in NTCIR-9 and NTCIR-10. Techniques for syntactic parsing, named-entity recognition, and near synonym recognition were employed, and features like counts of common words, statement lengths, negation words, and antonyms were ...
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We computed linguistic information at the lexical, syntactic, and semantic levels for the RITE (Recognizing Inference in TExt) tasks for both traditional and simplified Chinese in NTCIR-10. Techniques for syntactic parsing, named-entity recognition, and near synonym recognition were employed, and features like counts of common words, sentence lengths, negation words, and antonyms were considere...
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This paper describes initial Japanese Textual Entailment Recognition (RTE) systems that participated Japanese Binaryclass (BC) and Multi-class (MC) subtasks of NTCIR-9 RITE. Our approaches are based on supervised learning techniques: Decision Tree (DT) and Support Vector Machine (SVM) learners. The employed features for the learners include text fragment based features such as lexical, syntacti...
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ژورنال
عنوان ژورنال: Soft Computing
سال: 2015
ISSN: 1432-7643,1433-7479
DOI: 10.1007/s00500-015-1629-1