Abstract
Negative and uncertain expressions widely exist in natural language. Negation and uncertainty identification has become an important task in computational linguistics community. Lacking of corpus hinders the development of Chinese negation and uncertainty identification. This paper reports on a corpus annotation project for Chinese negation and uncertainty identification on scientific literature. We introduce several important aspects during our annotation, such as selection of raw text, framework of annotation, guidelines, data consistency and statistic data summarized from corpus. In this corpus, we annotate negation and uncertainty cues and their corresponding scopes. Statistic for corpus shows that there are a certain proportion of negative and uncertain expressions in Chinese scientific literature. Accordingly, this corpus is able to support the research of Chinese negation and uncertainty identification in the future.
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Chen, Z., Zou, B., Zhu, Q., Li, P. (2013). The Scientific Literature Corpus for Chinese Negation and Uncertainty Identification. In: Liu, P., Su, Q. (eds) Chinese Lexical Semantics. CLSW 2013. Lecture Notes in Computer Science(), vol 8229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45185-0_68
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DOI: https://doi.org/10.1007/978-3-642-45185-0_68
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