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» Conceptual Language Models for Context-Aware Text Retrieval
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HICSS
2002
IEEE
105views Biometrics» more  HICSS 2002»
14 years 13 days ago
Obtaining Language Models of Web Collections Using Query-Based Sampling Techniques
In the context of information retrieval, traditional collection selection algorithms have been widely studied. These algorithms utilize language models, a representation of the co...
Gary A. Monroe, James C. French, Allison L. Powell
CIARP
2004
Springer
14 years 27 days ago
Detecting Inflection Patterns in Natural Language by Minimization of Morphological Model
One of the most important steps in text processing and information retrieval is stemming—reducing of words to stems expressing their base meaning, e.g., bake, baked, bakes, bakin...
Alexander F. Gelbukh, Mikhail Alexandrov, Sang-Yon...
CICLING
2010
Springer
13 years 11 months ago
Multi Word Term Queries for Focused Information Retrieval
In this paper, we address both standard and focused retrieval tasks based on comprehensible language models and interactive query expansion (IQE). Query topics are expanded using a...
Eric SanJuan, Fidelia Ibekwe-Sanjuan
INEX
2007
Springer
14 years 1 months ago
Structured Document Retrieval, Multimedia Retrieval, and Entity Ranking Using PF/Tijah
CWI and University of Twente used PF/Tijah, a flexible XML retrieval system, to evaluate structured document retrieval, multimedia retrieval, and entity ranking tasks in the conte...
Theodora Tsikrika, Pavel Serdyukov, Henning Rode, ...
CIKM
2010
Springer
13 years 6 months ago
Context modeling for ranking and tagging bursty features in text streams
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan...