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» A Learning Approach to Shallow Parsing
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NIPS
2000
13 years 8 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
NLPRS
2001
Springer
13 years 11 months ago
GLR Parser with Conditional Action Model(CAM)
There are two different approaches in the LR parsing. The first one is the deterministic approach that performs the only one action using the control rules learned without any LR ...
Yong-Jae Kwak, Young-Sook Hwang, Hoo-Jung Chung, S...
ANLP
2000
112views more  ANLP 2000»
13 years 8 months ago
Message Classification in the Call Center
Customer care in technical domains is increasingly based on e-mail communication, allowing for the reproduction of approved solutions. Identifying the customer's problem is o...
Stephan Busemann, Sven Schmeier, Roman Georg Arens
AAAI
2007
13 years 9 months ago
Two Approaches for Building an Unsupervised Dependency Parser and Their Other Applications
Much work has been done on building a parser for natural languages, but most of this work has concentrated on supervised parsing. Unsupervised parsing is a less explored area, and...
Jagadeesh Gorla, Amit Goyal, Rajeev Sangal
ANLP
1997
106views more  ANLP 1997»
13 years 8 months ago
Incremental Finite-State Parsing
This paper describes a new finite-state shallow parser. It merges constructive and reductionist approaches within a highly modular architecture. Syntactic information is added at ...
Salah Ait-Mokhtar, Jean-Pierre Chanod