Paper: Automatic Extraction Of Semantic Relations From Specialized Corpora

ACL ID C00-2121
Title Automatic Extraction Of Semantic Relations From Specialized Corpora
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2000
Authors

In this paper we address the problem of discovering word semantic similarities via statistical processing of text corpora. We propose a knowledge-poor method that exploits the sentencial context of words for extracting similarity relations between them as well as semantic in nature word clusters. The approach aims at full portability across domains and languages and therefore is based on minimal resources. 1 Motivation Providing digital computers with the capability to acquire conceptual relations between lexical items by processing real-life text corpora is not only an exciting research activity but also a significant task in the framework of many NLP systems. Specifically: 1. State-of-the-art Language Modeling techniques (McMahon and Smith. , 1996) require lexical intbrmation about word ...