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» Content-based language models for spoken document retrieval
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IRI
2006
IEEE
15 years 7 months ago
Integration of low level linguistic information for clinical document semantic tagging
We propose a semantic tagger that provides high level concept information for phrases based on several kinds of low level information about words in clinical narrative texts. The ...
Hyeju Jang, Yun Jin, Sung-Hyon Myaeng
CIKM
2009
Springer
15 years 8 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai
TREC
2001
15 years 3 months ago
Retrieving Web Pages Using Content, Links, URLs and Anchors
For this year's web track, we concentrated on the entry page finding task. For the content-only runs, in both the ad-hoc task and the entry page finding task, we used an infor...
Thijs Westerveld, Wessel Kraaij, Djoerd Hiemstra
TREC
2008
15 years 3 months ago
Research on Enterprise Track of TREC 2008
This is the third year that we (ICT-CAS team) participated in the Enterprise Track of TREC. The track of this year includes two tasks, being document search task and expert search...
Huawei Shen, Lei Wang, Wenjing Bi, Yue Liu, Xueqi ...
CIKM
2005
Springer
15 years 7 months ago
Predicting accuracy of extracting information from unstructured text collections
Exploiting lexical and semantic relationships in large unstructured text collections can significantly enhance managing, integrating, and querying information locked in unstructur...
Eugene Agichtein, Silviu Cucerzan