Papers
Toward a Task-based Gold Standard for Evaluation of NP Chunks and Technical Terms
Nina Wacholder, Peng Song
Towards Emotion Prediction in Spoken Tutoring Dialogues
Diane Litman, Kate Forbes, Scott Silliman
Unsupervised Learning of Morphology for English and Inuktitut
Howard Johnson, Joel Martin
Weakly Supervised Natural Language Learning Without Redundant Views
Vincent Ng, Claire Cardie
What’s New in Statistical Machine Translation
Kevin Knight, Philipp Koehn
Word Alignment with Cohesion Constraint
Dekang Lin, Colin Cherry
WordFreak: An Open Tool for Linguistic Annotation
Thomas Morton, Jeremy LaCivita
Word Sense Acquisition from Bilingual Comparable Corpora
Hiroyuki Kaji
A Finite-State Approach to Machine Translation
Srinivas Bangalore, Giuseppe Riccardi
Applying Co-Training Methods to Statistical Parsing
Anoop Sarkar
A Structured Language Model Based on Context-Sensitive Probabilistic Left-Corner Parsing
Dong Hoon Van Uytsel, Filip Van Aelten, Dirk Van Compernolle
Chunking with Support Vector Machines
Taku Kudo, Yuji Matsumoto
Class-Based Probability Estimation Using a Semantic Hierarchy
Stephen Clark, David Weir
Corpus-based NP Modifier Generation
Hua Cheng, Massimo Poesio, Renate Henschel et al.
Do CFG-Based Language Models Need Agreement Constraints?
Manny Rayner, Genevieve Gorrell, Beth Ann Hockey et al.
Edit Detection and Parsing for Transcribed Speech
Eugene Charniak, Mark Johnson
Generating Training Data for Medical Dictations
Sergey Pakhomov, Michael Schonwetter, Joan Bachenko
Identifying Cognates by Phonetic and Semantic Similarity
Grzegorz Kondrak
Identifying User Corrections Automatically in Spoken Dialogue Systems
Julia Hirschberg, Diane Litman, Marc Swerts