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NAACL
2007
15 years 8 months ago
Using "Annotator Rationales" to Improve Machine Learning for Text Categorization
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
Omar Zaidan, Jason Eisner, Christine D. Piatko
ACL
2006
15 years 8 months ago
Towards Conversational QA: Automatic Identification of Problematic Situations and User Intent
To enable conversational QA, it is important to examine key issues addressed in conversational systems in the context of question answering. In conversational systems, understandi...
Joyce Y. Chai, Chen Zhang, Tyler Baldwin
ACL
2006
15 years 8 months ago
Learning Accurate, Compact, and Interpretable Tree Annotation
We present an automatic approach to tree annotation in which basic nonterminal symbols are alternately split and merged to maximize the likelihood of a training treebank. Starting...
Slav Petrov, Leon Barrett, Romain Thibaux, Dan Kle...
ACL
2006
15 years 8 months ago
Annealing Structural Bias in Multilingual Weighted Grammar Induction
We first show how a structural locality bias can improve the accuracy of state-of-the-art dependency grammar induction models trained by EM from unannotated examples (Klein and Ma...
Noah A. Smith, Jason Eisner
ACL
2006
15 years 8 months ago
Multilingual Legal Terminology on the Jibiki Platform: The LexALP Project
This paper presents the particular use of "Jibiki" (Papillon's web server development platform) for the LexALP1 project. LexALP's goal is to harmonise the term...
Gilles Sérasset, Francis Brunet-Manquat, El...