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        <title>A Unified Model for Reverse Dictionary and Definition Modelling</title>
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            <publisher>Association for Computational Linguistics</publisher>
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    <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.</abstract>
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%0 Conference Proceedings
%T A Unified Model for Reverse Dictionary and Definition Modelling
%A Chen, Pinzhen
%A Zhao, Zheng
%S 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)
%D 2022
%8 November
%I Association for Computational Linguistics
%C Online only
%F chen-zhao-2022-unified
%X 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.
%U https://aclanthology.org/2022.aacl-short.2
%P 8-13

Markdown (Informal)

[A Unified Model for Reverse Dictionary and Definition Modelling](https://aclanthology.org/2022.aacl-short.2) (Chen & Zhao, AACL-IJCNLP 2022)

• A Unified Model for Reverse Dictionary and Definition Modelling (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.