Anaphora Resolution in Thai EDU Segmentation

نویسندگان

چکیده

Human knowledge is mostly in the form of unstructured text. Text can be transcribed into various languages such as Thai language. To extract from text, natural language tasks word segmentation, Elementary Discourse Unit (EDU) and anaphora resolution needed tasks. Some interesting phenomena non-referential ellipsis owner are significant problems that necessary to resolve before constructing complete semantic Natural Language Processing (NLP) application. The must detected identifying referential improve precision resolution. also a crucial problem needs resolved find semantics. This study presents methodology EDU segmentation. divided 2 parts: morphological analysis ranking model applied reference with features surface word, surround syntactic information, ontology. results show 0.77, recall 0.84 F1 score 0.81.

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ژورنال

عنوان ژورنال: Journal of Computer Science

سال: 2022

ISSN: ['1552-6607', '1549-3636']

DOI: https://doi.org/10.3844/jcssp.2022.306.315