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» Semantic Language Models for Topic Detection and Tracking
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SIGIR
2004
ACM
15 years 5 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
TREC
2003
15 years 1 months ago
Improving the Robustness of Language Models - UIUC TREC 2003 Robust and Genomics Experiments
In this paper, we report our experiments in the TREC 2003 Genomics Track and the Robust Track. A common theme that we explored is the robustness of a basic language modeling retri...
ChengXiang Zhai, Tao Tao, Hui Fang, Zhidi Shang
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
16 years 4 days ago
Detecting research topics via the correlation between graphs and texts
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
Yookyung Jo, Carl Lagoze, C. Lee Giles
WWW
2008
ACM
16 years 12 days ago
Social and semantics analysis via non-negative matrix factorization
Social media such as Web forum often have dense interactions between user and content where network models are often appropriate for analysis. Joint non-negative matrix factorizat...
Zhi-Li Wu, Chi-Wa Cheng, Chun-hung Li
SOCIALCOM
2010
14 years 9 months ago
Opinion Summarization in Bengali: A Theme Network Model
Theme network is a semantic network of document specific themes. So far Natural Language Processing (NLP) research patronized much of topic based summarizer system, unable to captu...
Amitava Das, Sivaji Bandyopadhyay