Papers by Huiming Jin
Incorporating Chinese Characters of Words for Lexical Sememe Prediction (P18-1)
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| Challenge: | Existing methods of lexical sememe prediction rely on external context information of words to represent meaning. |
| Approach: | They propose a character-enhanced sememe prediction framework for Chinese language that takes advantage of internal character information and external context information. |
| Outcome: | The proposed framework outperforms state-of-the-art methods on a Chinese sememe knowledge base and maintains robust performance even for low-frequency words. |
Unsupervised Morphological Paradigm Completion (2020.acl-main)
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| Challenge: | a task of generating morphological paradigms is a challenging unsupervised task for natural language processing systems . acuidados y acciones del idioma es a problem in linguistic annotators. |
| Approach: | They propose a task of unsupervised morphological paradigm completion using raw text and a lemma list. |
| Outcome: | The proposed system outperforms trivial baselines on 14 typologically diverse languages with ease and higher accuracy than minimally supervised systems. |