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» Models of Metaphor in NLP
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EMNLP
2006
13 years 11 months ago
Competitive generative models with structure learning for NLP classification tasks
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...
Kristina Toutanova
EACL
2006
ACL Anthology
13 years 11 months ago
Bayesian Network, a Model for NLP?
The NLP systems often have low performances because they rely on unreliable and heterogeneous knowledge. We show on the task of non-anaphoric it identification how to overcome the...
Davy Weissenbacher
NAACL
2004
13 years 11 months ago
The Web as a Baseline: Evaluating the Performance of Unsupervised Web-based Models for a Range of NLP Tasks
Previous work demonstrated that web counts can be used to approximate bigram frequencies, and thus should be useful for a wide variety of NLP tasks. So far, only two generation ta...
Mirella Lapata, Frank Keller
NAACL
2003
13 years 11 months ago
A Generative Probabilistic OCR Model for NLP Applications
In this paper, we introduce a generative probabilistic optical character recognition (OCR) model that describes an end-to-end process in the noisy channel framework, progressing f...
Okan Kolak, William J. Byrne, Philip Resnik
AO
2005
147views more  AO 2005»
13 years 9 months ago
Domain modelling and NLP: Formal ontologies? Lexica? Or a bit of both?
There are a number of genuinely open questions concerning the use of domain models in nlp. It would be great if contributors to Applied Ontology could help addressing them rather ...
Massimo Poesio