Name
Title | ||
|---|---|---|
Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation |
Abstract | ||
|---|---|---|
In this paper, we tackle the task of Definition Generation (DG) in Chinese, which aims at automatically generating a definition for a word. Most existing methods take the source word as an indecomposable semantic unit. However, in parataxis languages like Chinese, word meanings can be composed using the word formation process, where a word (“桃花”, peach-blossom) is formed by formation components (“桃”, peach; “花”, flower) using a formation rule (Modifier-Head). Inspired by this process, we propose to enhance DG with word formation features. We build a formation-informed dataset, and propose a model DeFT, which Decomposes words into formation features, dynamically Fuses different features through a gating mechanism, and generaTes word definitions. Experimental results show that our method is both effective and robust. |
Year | Venue | DocType |
|---|---|---|
2021 | NAACL-HLT | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hua Zheng | 1 | 0 | 0.68 |
| Damai Dai | 2 | 1 | 2.72 |
| Lei Li | 3 | 0 | 1.35 |
| Tianyu Liu | 4 | 21 | 3.79 |
| Zhifang Sui | 5 | 172 | 39.06 |
| Baobao Chang | 6 | 0 | 0.34 |
| Yang Liu | 7 | 0 | 0.34 |