Graphine: A Dataset for Graph-aware Terminology Definition Generation

Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang


Abstract
Precisely defining the terminology is the first step in scientific communication. Developing neural text generation models for definition generation can circumvent the labor-intensity curation, further accelerating scientific discovery. Unfortunately, the lack of large-scale terminology definition dataset hinders the process toward definition generation. In this paper, we present a large-scale terminology definition dataset Graphine covering 2,010,648 terminology definition pairs, spanning 227 biomedical subdisciplines. Terminologies in each subdiscipline further form a directed acyclic graph, opening up new avenues for developing graph-aware text generation models. We then proposed a novel graph-aware definition generation model Graphex that integrates transformer with graph neural network. Our model outperforms existing text generation models by exploiting the graph structure of terminologies. We further demonstrated how Graphine can be used to evaluate pretrained language models, compare graph representation learning methods and predict sentence granularity. We envision Graphine to be a unique resource for definition generation and many other NLP tasks in biomedicine.
Anthology ID:
2021.emnlp-main.278
Volume:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2021
Address:
Online and Punta Cana, Dominican Republic
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3453–3463
Language:
URL:
https://aclanthology.org/2021.emnlp-main.278
DOI:
10.18653/v1/2021.emnlp-main.278
Bibkey:
Cite (ACL):
Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, and Sheng Wang. 2021. Graphine: A Dataset for Graph-aware Terminology Definition Generation. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 3453–3463, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
Cite (Informal):
Graphine: A Dataset for Graph-aware Terminology Definition Generation (Liu et al., EMNLP 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.emnlp-main.278.pdf
Video:
 https://aclanthology.org/2021.emnlp-main.278.mp4
Code
 zequnl/graphex
Data
Graphine