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» Shallow Parsing using Specialized HMMs
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JMLR
2002
78views more  JMLR 2002»
13 years 4 months ago
Shallow Parsing using Specialized HMMs
We present a unified technique to solve different shallow parsing tasks as a tagging problem using a Hidden Markov Model-based approach (HMM). This technique consists of the incor...
Antonio Molina, Ferran Pla
NIPS
2000
13 years 6 months ago
The Use of Classifiers in Sequential Inference
We study the problem of combining the outcomes of several different classifiers in a way that provides a coherent inference that satisfies some constraints. In particular, we deve...
Vasin Punyakanok, Dan Roth
AIIA
2007
Springer
13 years 11 months ago
A Tree Kernel-Based Shallow Semantic Parser for Thematic Role Extraction
We present a simple, two-steps supervised strategy for the identification and classification of thematic roles in natural language texts. We employ no external source of informat...
Daniele Pighin, Alessandro Moschitti
IJCAI
2003
13 years 6 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
IJCAI
2003
13 years 6 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer