Work

Improving English subcategorization acquisition with diathesis alternations as heuristic information

Year: 2006

Type: conference-paper

Abstract: Automatically acquired lexicons with subcategorization information have already proved accurate and useful enough for some purposes but their accuracy still shows room for improvement. By means of diathesis alternation, this paper proposes a new filtering method, which improved the performance of Korhonen's acquisition system remarkably, with the precision increased to 91.18% and recall unchanged, making the acquired lexicon much more practical for further manual proofreading and other NLP uses.

Source: International Conference on Computational Linguistics and Annual Meeting of the Association for Computational Linguistics (COLING/ACL)

DOI: 10.3115/1273073.1273116

Authors: Xiwu Han, Tiejun Zhao, Xingshang Fu

Institutions: Heilongjiang University, Harbin Institute of Technology

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: Heilongjiang University, National Natural Science Foundation of China

Award: 汉语动词次范畴化自动获取技术的研究