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» Language Modeling Using PLSA-Based Topic HMM
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ACL
1998
13 years 9 months ago
Combining Stochastic and Rule-Based Methods for Disambiguation in Agglutinative Languages
In this paper we present the results of the combination of stochastic and rule-based disambiguation methods applied to Basque languagel. The methods we have used in disambiguation...
Nerea Ezeiza, Iñaki Alegria, Jose Maria Arr...
SIGIR
2008
ACM
13 years 7 months ago
Blogger, stick to your story: modeling topical noise in blogs with coherence measures
Topical noise in blogs arises when bloggers digress from the central topical thrust of their blogs. We introduce a method to explicitly incorporate a model of topical noise into a...
Jiyin He, Wouter Weerkamp, Martha Larson, Maarten ...
ICML
2006
IEEE
14 years 8 months ago
Topic modeling: beyond bag-of-words
Some models of textual corpora employ text generation methods involving n-gram statistics, while others use latent topic variables inferred using the "bag-of-words" assu...
Hanna M. Wallach
CORR
2004
Springer
128views Education» more  CORR 2004»
13 years 7 months ago
Unsupervised Topic Adaptation for Lecture Speech Retrieval
We are developing a cross-media information retrieval system, in which users can view specific segments of lecture videos by submitting text queries. To produce a text index, the ...
Atsushi Fujii, Katunobu Itou, Tomoyosi Akiba, Tets...
ACL
2007
13 years 9 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