NAACL 2006

145 papers

Estimation of Consistent Probabilistic Context-free Grammars

Mark-Jan Nederhof, Giorgio Satta

Cross-Entropy and Estimation of Probabilistic Context-Free Grammars

Anna Corazza, Giorgio Satta

Learning Morphological Disambiguation Rules for Turkish

Deniz Yuret, Ferhan Ture

Prototype-Driven Learning for Sequence Models

Aria Haghighi, Dan Klein

Probabilistic Context-Free Grammar Induction Based on Structural Zeros

Mehryar Mohri, Brian Roark

Preemptive Information Extraction using Unrestricted Relation Discovery

Yusuke Shinyama, Satoshi Sekine

Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text

Aron Culotta, Andrew McCallum, Jonathan Betz

Exploring Syntactic Features for Relation Extraction using a Convolution Tree Kernel

Min Zhang, Jie Zhang, Jian Su

Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging

Gang Ji, Jeff Bilmes

Comparing the Utility of State Features in Spoken Dialogue Using Reinforcement Learning

Joel Tetreault, Diane Litman

Modelling User Satisfaction and Student Learning in a Spoken Dialogue Tutoring System with Generic, Tutoring, and User Affect Parameters

Kate Forbes-Riley, Diane Litman

Synchronous Binarization for Machine Translation

Hao Zhang, Liang Huang, Daniel Gildea, Kevin Knight

Grammatical Machine Translation

Stefan Riezler, John T. Maxwell III

Relabeling Syntax Trees to Improve Syntax-Based Machine Translation Quality

Bryant Huang, Kevin Knight

Learning Pronunciation Dictionaries: Language Complexity and Word Selection Strategies

John Kominek, Alan W Black

Unsupervised and Semi-supervised Learning of Tone and Pitch Accent

Gina-Anne Levow

Towards Automatic Scoring of Non-Native Spontaneous Speech

Klaus Zechner, Isaac Bejar

Learning to Detect Conversation Focus of Threaded Discussions

Donghui Feng, Erin Shaw, Jihie Kim, Eduard Hovy

Identifying and Analyzing Judgment Opinions

Soo-Min Kim, Eduard Hovy

Exploiting Semantic Role Labeling, WordNet and Wikipedia for Coreference Resolution

Simone Paolo Ponzetto, Michael Strube

Fully Parsing the Penn Treebank

Ryan Gabbard, Seth Kulick, Mitchell Marcus

A Fully-Lexicalized Probabilistic Model for Japanese Syntactic and Case Structure Analysis

Daisuke Kawahara, Sadao Kurohashi

Multilevel Coarse-to-Fine PCFG Parsing

Eugene Charniak, Mark Johnson, Micha Elsner, Joseph Austerweil, David Ellis

Multilingual Dependency Parsing using Bayes Point Machines

Simon Corston-Oliver, Anthony Aue, Kevin Duh, Eric Ringger

Effective Self-Training for Parsing

David McClosky, Eugene Charniak, Mark Johnson

Partial Training for a Lexicalized-Grammar Parser

Stephen Clark, James Curran

Understanding Temporal Expressions in Emails

Benjamin Han, Donna Gates, Lori Levin

Unknown word sense detection as outlier detection

Katrin Erk

An Empirical Study of the Behavior of Active Learning for Word Sense Disambiguation

Jinying Chen, Andrew Schein, Lyle Ungar, Martha Palmer

Word Alignment via Quadratic Assignment

Simon Lacoste-Julien, Ben Taskar, Dan Klein, Michael I. Jordan

Alignment by Agreement

Percy Liang, Ben Taskar, Dan Klein

A Maximum Entropy Approach to Combining Word Alignments

Necip Fazil Ayan, Bonnie J. Dorr

Reducing Weight Undertraining in Structured Discriminative Learning

Charles Sutton, Michael Sindelar, Andrew McCallum

Named Entity Transliteration and Discovery from Multilingual Comparable Corpora

Alexandre Klementiev, Dan Roth

Exploiting Domain Structure for Named Entity Recognition

Jing Jiang, ChengXiang Zhai

Role of Local Context in Automatic Deidentification of Ungrammatical, Fragmented Text

Tawanda Sibanda, Ozlem Uzuner

Acquiring Inference Rules with Temporal Constraints by Using Japanese Coordinated Sentences and Noun-Verb Co-occurrences

Kentaro Torisawa

Acquisition of Verb Entailment from Text

Viktor Pekar

Learning to recognize features of valid textual entailments

Bill MacCartney, Trond Grenager, Marie-Catherine de Marneffe, Daniel Cer, Christopher D. Manning

Effectively Using Syntax for Recognizing False Entailment

Rion Snow, Lucy Vanderwende, Arul Menezes

Segment Choice Models: Feature-Rich Models for Global Distortion in Statistical Machine Translation

Roland Kuhn, Denis Yuen, Michel Simard, Patrick Paul, George Foster

Improved Statistical Machine Translation Using Paraphrases

Chris Callison-Burch, Philipp Koehn, Miles Osborne

Do we need phrases? Challenging the conventional wisdom in Statistical Machine Translation

Chris Quirk, Arul Menezes

Capitalizing Machine Translation

Wei Wang, Kevin Knight, Daniel Marcu

Proceedings of the Human Language Technology Conference of the NAACL, Main Conference

Robert C. Moore, Jeff Bilmes, Jennifer Chu-Carroll, Mark Sanderson