Papers
A Multi-resolution Framework for Information Extraction from Free Text
Mstislav Maslennikov, Tat-Seng Chua
A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity
Feiyu Xu, Hans Uszkoreit, Hong Li
Learning to Extract Relations from the Web using Minimal Supervision
Razvan Bunescu, Raymond Mooney
Fast Semantic Extraction Using a Novel Neural Network Architecture
Ronan Collobert, Jason Weston
Towards an Iterative Reinforcement Approach for Simultaneous Document Summarization and Keyword Extraction
Xiaojun Wan, Jianwu Yang, Jianguo Xiao
Generating a Table-of-Contents
S. R. K. Branavan, Pawan Deshpande, Regina Barzilay
Bilingual-LSA Based LM Adaptation for Spoken Language Translation
Yik-Cheung Tam, Ian Lane, Tanja Schultz
Randomised Language Modelling for Statistical Machine Translation
David Talbot, Miles Osborne
Making Sense of Sound: Unsupervised Topic Segmentation over Acoustic Input
Igor Malioutov, Alex Park, Regina Barzilay et al.
PERSONAGE: Personality Generation for Dialogue
François Mairesse, Marilyn Walker
The utility of parse-derived features for automatic discourse segmentation
Seeger Fisher, Brian Roark
Finding document topics for improving topic segmentation
Olivier Ferret
Statistical Machine Translation for Query Expansion in Answer Retrieval
Stefan Riezler, Alexander Vasserman, Ioannis Tsochantaridis et al.
Instance-based Evaluation of Entailment Rule Acquisition
Idan Szpektor, Eyal Shnarch, Ido Dagan
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification
John Blitzer, Mark Dredze, Fernando Pereira
Structured Models for Fine-to-Coarse Sentiment Analysis
Ryan McDonald, Kerry Hannan, Tyler Neylon et al.
PageRanking WordNet Synsets: An Application to Opinion Mining
Andrea Esuli, Fabrizio Sebastiani
Opinion Mining using Econometrics: A Case Study on Reputation Systems
Anindya Ghose, Panagiotis Ipeirotis, Arun Sundararajan
An Ensemble Method for Selection of High Quality Parses
Roi Reichart, Ari Rappoport