Paper ID
(Link to PDF)

Title

Author(s)

C02-1072

A Comparative Evaluation of Data-driven Models in Translation Selection of Machine Translation

Yu-Seop Kim; Jeong-Ho Chang; Byoung-Tak Zhang

P99-1014

Inducing a Semantically Annotated Lexicon via EM-Based Clustering

Mats Rooth Stefan; Riezler Detlef Prescher

P00-1072

Dimension-Reduced Estimation of Word Co-occurrence Probability

Kilyoun Kim; Key-Sun Choi

W03-0403

Active learning for HPSG parse selection

Jason Baldridge; Miles Osborne

I05-5009

Evaluating Contextual Dependency of Paraphrases using a Latent Variable Model

Kiyonroi Ohtake

N03-1016

A* Parsing: Fast Exact Viterbi Parse Selection

Dan Klein; Christopher D. Manning

W98-1115

Edge-Based Best-First Chart Parsing

Eugene Charniak ; Sharon Goldwater ; Mark Johnson

W05-0206

Automatic Essay Grading with Probabilistic Latent Semantic Analysis

Tuomo Kakkonen; Niko Myller; Jari Timonen; Erkki Sutinen

167-200

Statistical Language Modeling with Performance Benchmarks using Various Levels of Syntactic-Semantic Information

Dharmendra Kanejiya, Arun Kumar and Surendra Prasad

P02-1034

New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron

Michael Collins; Nigel Duffy

W05-1512

Head-Driven PCFGs with Latent-Head Statistics

Detlef Prescher

W05-1508

Treebank transfer

Martin Jansche

J04-4004

Intricacies of Collins’ Parsing Model

Daniel M. Bikel

P99-1032

Development and Use of a Gold-Standard Data Set for Subjectivity Classifications

Janyce M. Wiebe; Rebecca F. Bruce; Thomas P. O'Hara

W98-1114

Can Subcategorisation Probabilities Help a Statistical Parser

John Carroll; Guido Minnen; Ted Briscoe