Word Importance Discrimination Using Context Information

Word importance discrimination is a task deserving attention when one treats a topic from TREC where a topic is quite long. The goal of the process is to estimate importance of words which carry any (additional) information about user information needs. In our experiments we estimated word importance using context information of a word. Key words: Word importance discrimination, Context, Clustering, CDC

• Type: Conference
• Year: 2008
• Where: TREC
• Authors: Danil Nemirovsky, Vladimir Dobrynin
• Keywords: Information Technology, Task Deserving Attention, TREC 2008, User Information Needs, Word Importance Discrimination