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» Robust Text Processing in Automated Information Retrieval
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ACL
2006
13 years 10 months ago
Segment-Based Hidden Markov Models for Information Extraction
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
Zhenmei Gu, Nick Cercone
WWW
2008
ACM
14 years 9 months ago
Mining tag clouds and emoticons behind community feedback
In this paper we describe our mining system which automatically mines tags from feedback text in an eCommerce scenario. It renders these tags in a visually appealing manner. Furth...
Kavita A. Ganesan, Neelakantan Sundaresan, Harshal...
CICLING
2007
Springer
14 years 2 months ago
Adapting the JIRS Passage Retrieval System to the Arabic Language
The need of having a Passage Retrieval (PR) system for Arabic texts is due essentially to our aim to build an Arabic Question Answering (QA) system in our research team. We have ch...
Yassine Benajiba, Paolo Rosso, José Manuel ...
DRR
2004
13 years 11 months ago
Retrieving topical sentiments from online document collections
Retrieving documents by subject matter is the general goal of information retrieval and other content access systems. There are other aspects of textual content, however, which fo...
Matthew F. Hurst, Kamal Nigam
ICWSM
2010
13 years 7 months ago
Coping With Noise in a Real-World Weblog Crawler and Retrieval System
In this paper we examine the effects of noise when creating a real-world weblog corpus for information retrieval. We focus on the DiffPost (Lee et al. 2008) approach to noise remo...
James Lanagan, Paul Ferguson, Neil O'Hare, Alan F....