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Chinese Hedge Scope Detection Based on Structure and Semantic Information.

, , , , , and . CCL, volume 10035 of Lecture Notes in Computer Science, page 204-215. (2016)

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Leveraging prior knowledge for protein-protein interaction extraction with memory network., , , , , , and . Database, (2018)A new data analysis method based on feature linear combination., , , , , and . Journal of Biomedical Informatics, (2019)Improving Neural Protein-Protein Interaction Extraction with Knowledge Selection., , , , , , and . CoRR, (2019)A Hybrid Model Based on CRFs for Chinese Named Entity Recognition., , , and . ALPIT, page 127-132. IEEE Computer Society, (2008)Combining Large-Scale Unlabeled Corpus and Lexicon for Chinese Polysemous Word Similarity Computation., , , , , and . CCIR, volume 10390 of Lecture Notes in Computer Science, page 198-210. Springer, (2017)Semi-supervised Learning with Transfer Learning., , , and . CCL, volume 8202 of Lecture Notes in Computer Science, page 109-119. Springer, (2013)Exploiting Multi-Features to Detect Hedges and their Scope in Biomedical Texts., , , , and . CoNLL Shared Task, page 106-113. ACL, (2010)Shared Representation Learning with Self-Attention for Cross-Domain Chinese Hedge Cue Recognition., , , , and . IALP, page 362-367. IEEE, (2018)Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment Classification., , , and . ACL (1), page 430-440. The Association for Computer Linguistics, (2015)Detecting hedges scope based on phrase structures and dependency structures., , , , and . NLPKE, page 415-420. IEEE, (2011)