The Generation of Textual Entailment with NLML in an Intelligent Dialogue system for Language Learning CSIEC

dc.creatorJia, Jiyou
dc.date2008-02-29
dc.date.accessioned2026-07-07T09:24:02Z
dc.date.available2026-07-07T09:24:02Z
dc.descriptionThis research report introduces the generation of textual entailment within the project CSIEC (Computer Simulation in Educational Communication), an interactive web-based human-computer dialogue system with natural language for English instruction. The generation of textual entailment (GTE) is critical to the further improvement of CSIEC project. Up to now we have found few literatures related with GTE. Simulating the process that a human being learns English as a foreign language we explore our naive approach to tackle the GTE problem and its algorithm within the framework of CSIEC, i.e. rule annotation in NLML, pattern recognition (matching), and entailment transformation. The time and space complexity of our algorithm is tested with some entailment examples. Further works include the rules annotation based on the English textbooks and a GUI interface for normal users to edit the entailment rules.
dc.identifierhttps://arxiv.org/abs/0802.4326
dc.identifierhttp://arxiv.org/abs/0802.4326
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/155951
dc.subjectComputation and Language
dc.subjectArtificial Intelligence
dc.subjectComputers and Society
dc.titleThe Generation of Textual Entailment with NLML in an Intelligent Dialogue system for Language Learning CSIEC
dc.typetext

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