@inproceedings{chen-zhao-2022-unified,
title = "A Unified Model for Reverse Dictionary and Definition Modelling",
author = "Chen, Pinzhen and
Zhao, Zheng",
editor = "He, Yulan and
Ji, Heng and
Li, Sujian and
Liu, Yang and
Chang, Chua-Hui",
booktitle = "Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)",
month = nov,
year = "2022",
address = "Online only",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.aacl-short.2",
pages = "8--13",
abstract = "We build a dual-way neural dictionary to retrieve words given definitions, and produce definitions for queried words. The model learns the two tasks simultaneously and handles unknown words via embeddings. It casts a word or a definition to the same representation space through a shared layer, then generates the other form in a multi-task fashion. Our method achieves promising automatic scores on previous benchmarks without extra resources. Human annotators prefer the model{'}s outputs in both reference-less and reference-based evaluation, indicating its practicality. Analysis suggests that multiple objectives benefit learning.",
}
Markdown (Informal)
[A Unified Model for Reverse Dictionary and Definition Modelling](https://aclanthology.org/2022.aacl-short.2) (Chen & Zhao, AACL-IJCNLP 2022)
ACL
- Pinzhen Chen and Zheng Zhao. 2022. A Unified Model for Reverse Dictionary and Definition Modelling. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 8–13, Online only. Association for Computational Linguistics.