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» Using Temporal Language Models for Document Dating
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117
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EMNLP
2009
15 years 11 days ago
Polylingual Topic Models
Topic models are a useful tool for analyzing large text collections, but have previously been applied in only monolingual, or at most bilingual, contexts. Meanwhile, massive colle...
David M. Mimno, Hanna M. Wallach, Jason Naradowsky...
136
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CLEF
2008
Springer
15 years 4 months ago
Cross Language Experiments at Persian@CLEF 2008
In this study we will discuss our cross language text retrieval (CLIR) experiments of Persian ad hoc track at CLEF 2008. Two teams from University of Tehran were involved in cross...
Abolfazl AleAhmad, Ehsan Kamalloo, Arash Zareh, Ma...
128
Voted
ACL
2007
15 years 4 months ago
Unsupervised Language Model Adaptation Incorporating Named Entity Information
Language model (LM) adaptation is important for both speech and language processing. It is often achieved by combining a generic LM with a topic-specific model that is more releva...
Feifan Liu, Yang Liu
MEDINFO
2007
116views Healthcare» more  MEDINFO 2007»
15 years 4 months ago
Knowledge-Level Querying of Temporal Patterns in Clinical Research Systems
Managing time-stamped data is essential to clinical research activities and often requires the use of considerable domain knowledge, which is difficult to support within database ...
Martin J. O'Connor, Ravi D. Shankar, David B. Parr...
140
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ECAI
2010
Springer
15 years 17 days ago
From bursty patterns to bursty facts: The effectiveness of temporal text mining for news
Many document collections are by nature dynamic, evolving as the topics or events they describe change. The goal of temporal text mining is to discover bursty patterns and to ident...
Ilija Subasic, Bettina Berendt