Conceptual Grouping in Word Co-Occurrence Networks
Abstract
Information Retrieval queries often result in a large number of documents found to be relevant. These documents are usually sorted by rele-vance, not by an analysis of what the user meant. If the document collection contains many docu-ments on one of those meanings, it is hard to find other documents. We present a technique called conceptual grouping that automatically distinguishes be-tween different meanings of a user query, given a document collection. By analysing a word co-occurrence network of a text database, we are able to form groups of words related to the query, grouped by semantic coherence. These
Cite
Text
Veling and van der Weerd. "Conceptual Grouping in Word Co-Occurrence Networks." International Joint Conference on Artificial Intelligence, 1999.Markdown
[Veling and van der Weerd. "Conceptual Grouping in Word Co-Occurrence Networks." International Joint Conference on Artificial Intelligence, 1999.](https://mlanthology.org/ijcai/1999/veling1999ijcai-conceptual/)BibTeX
@inproceedings{veling1999ijcai-conceptual,
title = {{Conceptual Grouping in Word Co-Occurrence Networks}},
author = {Veling, Anne and van der Weerd, Peter},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1999},
pages = {694-701},
url = {https://mlanthology.org/ijcai/1999/veling1999ijcai-conceptual/}
}