中北大学学报（自然科学版）Issue(3)：328-332,337,6.DOI:10.3969/j.issn.1673-3193.2015.03.016
基于词分布表征的汉语框架排歧研究
Chinese Frame Disambiguation Base on Word Distributed Representations
党帅兵 1李国臣 1王瑞波 2李济洪3
作者信息
- 1. 山西大学 计算机与信息技术学院，山西 太原 030006
- 2. 太原工业学院 计算机工程系，山西 太原 030008
- 3. 山西大学软件学院，山西 太原 030006
- 折叠
摘要
Abstract
The purpose of frame disambiguation is to select a proper frame from all frames in CFN for a target word of a Chinese sentence,based on the context of the target word.Frame disambiguation is re-garded as a classification task between frames,and we firstly introduce word low dimension distributed representations as features to investigate the influence of different feature representations on frame dis-ambiguation model only proceed from the word feature.We selected 2 077 annotated sentences from 88 lexical units as our dataset,and introduced the distributed representations of words around the target word into maximum entropy algorithm for the model building.Experimental results show that the accu-racy of our proposed frame disambiguation model reaches 58.11%.Compared with the result (47.47%) that only use word features,this result get increased significantly,and it shows that word distributed representations is so important to frame disambiguation.关键词
框架排歧/最大熵模型/词分布表征/汉语框架语义知识库Key words
frame disambiguation/maximum entropy model/word distributed representations/Chinese frame net分类
信息技术与安全科学引用本文复制引用
党帅兵,李国臣,王瑞波,李济洪..基于词分布表征的汉语框架排歧研究[J].中北大学学报（自然科学版）,2015,(3):328-332,337,6.
