Papers
Paraphrasing for Automatic Evaluation
David Kauchak, Regina Barzilay
ParaEval: Using Paraphrases to Evaluate Summaries Automatically
Liang Zhou, Chin-Yew Lin, Dragos Stefan Munteanu et al.
Learning for Semantic Parsing with Statistical Machine Translation
Yuk Wah Wong, Raymond Mooney
A fast finite-state relaxation method for enforcing global constraints on sequence decoding
Roy Tromble, Jason Eisner
Towards Spoken-Document Retrieval for the Internet: Lattice Indexing For Large-Scale Web-Search Architectures
Zheng-Yu Zhou, Peng Yu, Ciprian Chelba et al.
Language Model Information Retrieval with Document Expansion
Tao Tao, Xuanhui Wang, Qiaozhu Mei et al.
A Machine Learning based Approach to Evaluating Retrieval Systems
Huyen-Trang Vu, Patrick Gallinari
Creating a Test Collection for Citation-based IR Experiments
Anna Ritchie, Simone Teufel, Stephen Robertson
Will Pyramids Built of Nuggets Topple Over?
Jimmy Lin, Dina Demner-Fushman
Nuggeteer: Automatic Nugget-Based Evaluation using Descriptions and Judgements
Gregory Marton, Alexey Radul
Incorporating Speaker and Discourse Features into Speech Summarization
Gabriel Murray, Steve Renals, Jean Carletta et al.
Aggregation via Set Partitioning for Natural Language Generation
Regina Barzilay, Mirella Lapata
A Better N-Best List: Practical Determinization of Weighted Finite Tree Automata
Jonathan May, Kevin Knight
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 Türe
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
Comparing the Utility of State Features in Spoken Dialogue Using Reinforcement Learning
Joel Tetreault, Diane Litman