Paper: NLP And IR Approaches To Monolingual And Multilingual Link Detection

ACL ID C02-1006
Title NLP And IR Approaches To Monolingual And Multilingual Link Detection
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2002
Authors

This paper considers several important issues for monolingual and multilingual link detection. The experimental results show that nouns, verbs, adjectives and compound nouns are useful to represent news stories; story expansion is helpful; topic segmentation has a little effect; and a translation model is needed to capture the differences between languages.