Study on the Annotation Framework of Chinese Logic Complement Semantics

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Abstract

The meaning expressed by elements of negation, degree, tense and aspect, modality and mood in a sentence attached to the basic predicate-centered proposition is called logic complement semantics, which is embodied as semantic constraints of logic semantic operators to the predicate. Logic complement semantics is the effective supplement to the basic logic meaning, and is important for deep understanding of sentence semantics. In this paper, a Chinese logic complement semantics annotation framework aimed for deep semantic comprehension is preliminarily practiced, which constructed a classification system including negation, degree, tense and aspect, and mood on the basis of existing research results, built the operator dictionary, established rules for annotation, and annotated logic complement semantics operators of a sentence which have been tagged with basic propositional arguments. Finally, the statistics of the annotation result are presented, and the problems in annotation process are analyzed.

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Zhang, K., Han, Y., Jia, Y., Mu, L., Sui, Z., & Zan, H. (2018). Study on the Annotation Framework of Chinese Logic Complement Semantics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10709 LNAI, pp. 359–373). Springer Verlag. https://doi.org/10.1007/978-3-319-73573-3_33

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