This is a definition generation reading list maintained by the Beijing Language and Culture University Intelligent Computer-Assisted Language Learning (ICALL) Research Group.
| Content |
|---|
| 1. Definition Generation |
| 2. Related Task |
| 2.1 Learning Word Embeddings From Definitions |
| 2.2 Word Sense Disambiguation |
| 2.3 Others |
| 3. Chinese Data Resources |
| 3.1 CCD |
| 3.2 CWN |
| 3.3 HowNet |
- Thanapon Noraset, Chen Liang, Larry Birnbaum, and Doug DowneyIn. 2017. Definition Modeling: Learning to define word embeddings in natural language. In Proceedings of AAAI 2017.
- Ke Ni and William Yang Wang. 2017. Learning to Explain Non-Standard English Words and Phrases. In Proceeding of IJCNLP 2017 (short paper)
- Artyom Gadetsky, Ilya Yakubovskiy, and Dmitry Vetrov. 2018. Conditional Generators of Words Definitions. In Proceedings of ACL 2018
- Ting-Yun Chang, Ta-Chung Chi, Shang-Chi Tsai, and Yun-Nung Chen. 2018. xSense: Learning Sense-Separated Sparse Representations and Textual Definitions for Explainable Word Sense Networks. Published in ArXiv 2018
- Shonosuke Ishiwatari, Hiroaki Hayashi, Naoki Yoshinaga, Graham Neubig, Shoetsu Sato, Masashi Toyoda, and Masaru Kitsuregawa. 2019. Learning to Describe Unknown Phrases with Local and Global Contexts. In Proceedings of NAACL-HLT 2019
- Ting-Yun Chang, and Yun-Nung Chen. 2019. What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition. In Proceedings of EMNLP-IJCNLP 2019
- Timothee Mickus, Denis Paperno, and Matthieu Constant. 2019. Mark my Word: A Sequence-to-Sequence Aproach to Definition Modeling. In Proceedings of the 1st NLPL Workshop on Deep Learning for Natural Language Processing
- Koki Washio, Satoshi Sekine, and Tsuneaki Kato. 2019. Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling. In Proceedings of EMNLP-IJCNLP 2019
- Ruimin Zhu, Thanapon Noraset, Alisa Liu, Wenxin Jiang, and Doug Downey. 2019. Multi-sense Definition Modeling using Word Sense Decompositions. Published in ArXiv 2019
- Liner Yang, Cunliang Kong, Yun Chen, Yang Liu, Qinan Fan, Erhong Yang. 2020. Incorporating Sememes into Chinese Definition Modeling. To appear In IEEE/ACM Transactions on Audio, Speech, and Language Processing
- Felix Hill, Kyunghyun Cho, Anna Korhonen, and Yoshua Bengio. 2016. Learning to Understand Phrases by Embedding the Dictionary. In Proceedings of TACL 2016
- Tom Bosc, and Pascal Vincent. 2018. Auto-Encoding Dictionary Definitions into Consistent Word Embeddings. In Proceedings of EMNLP 2018
- Ranjani Iyer iyerr. 2018. HybridVec : Hybrid Distributional and Definitional Word Vectors. Published 2018
- Evangelia Spiliopoulou, and Eduard H. Hovy. 2019 Definition Frames: Using Definitions for Hybrid Concept Representations. Published in ArXiv 2019
- Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang and Zhifang Sui. 2018. Incorporating Glosses into Neural Word Sense Disambiguation. In Proceedings of ACL 2018
- Sawan Kumar, Sharmistha Jat, Karan Saxena, and Partha Talukdar. 2019. Zero-shot Word Sense Disambiguation using Sense Definition Embeddings. In Proceedings of ACL 2019
- Luyao Huang, Chi Sun, Xipeng Qiu, and Xuanjing Huang. 2019. GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge. In Proceedings of EMNLP 2019
- Jiaju Du, Fanchao Qi, and Maosong Sun. 2019. Using BERT for Word Sense Disambiguation. Published in ArXiv 2019
- Lei Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, and Maosong Sun. 2020. Multi-channel Reverse Dictionary Model. In Proceedings of AAAI 2020
- Jiaju Du, Fanchao Qi, Maosong Sun, and Zhiyuan Liu. 2020. Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic Correspondence. Accepted by Journal of Chinese Information Processing
- 于江生, 俞士汶. 2002. 中文概念词典的结构. 中文信息学报
- 昝红英, 俞士汶. 2003. CCD及其应用. 广西师范大学学报
- 刘扬, 于江生, 俞士汶. 2003. CCD构造模型及VACOL辅助软件的设计与实现. 语言文字应用
- 黄居仁, 谢舒凯, 洪嘉馡, 陈韵竹, 苏依莉, 陈永祥, 黄胜伟. 2010. 中文词汇网络:跨语言知识处理基础架构的设计理念与实践. 中文信息学报 [CWN2 Web Site]
- 郝长伶, 董强. 2003. KDML——知网知识系统描述语言. 全国第七届计算语言学联合学术会议 [OpenHownet Web Site]