EMNLP 2006:
Sydney,
Australia
Dan Jurafsky, Éric Gaussier (Eds.):
EMNLP 2007, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, 22-23 July 2006, Sydney, Australia.
ACL 2006, ISBN 1-932432-73-6
Computational Semantics
MT
Discourse
Parsing
Computational Semantics
Parsing
Long Poster Session 1:
Discourse,
Dialogue,
MT,
Computational Semantics,
Parsing
- Oren Glickman, Eyal Shnarch, Ido Dagan:
Lexical Reference: a Semantic Matching Subtask.
172-179
- Chi-san Althon Lin, Tony C. Smith:
Semantic Role Labeling via Instance-Based Learning.
180-188
- Philip Bramsen, Pawan Deshpande, Yoong Keok Lee, Regina Barzilay:
Inducing Temporal Graphs.
189-198
- Wei-Lin Wu, Ruzhan Lu, Jianyong Duan, Hui Liu, Feng Gao, Yuquan Chen:
A Weakly Supervised Learning Approach for Spoken Language Understanding.
199-207
- Amruta Purandare, Diane J. Litman:
Humor: Prosody Analysis and Automatic Recognition for F*R*I*E*N*D*S*.
208-215
- Ying Zhang, Almut Silja Hildebrand, Stephan Vogel:
Distributed Language Modeling for N-best List Re-ranking.
216-223
- Hao Zhang, Daniel Gildea:
Efficient Search for Inversion Transduction Grammar.
224-231
- Brooke Cowan, Ivona Kucerova, Michael Collins:
A Discriminative Model for Tree-to-Tree Translation.
232-241
- LiLi Xu, Atsushi Fujii, Tetsuya Ishikawa:
Modeling Impression in Probabilistic Transliteration into Chinese.
242-249
- Tao Tao, Su-Youn Yoon, Andrew Fister, Richard Sproat, ChengXiang Zhai:
Unsupervised Named Entity Transliteration Using Temporal and Phonetic Correlation.
250-257
- Abdusalam F. A. Nwesri, Seyed M. M. Tahaghoghi, Falk Scholer:
Capturing Out-of-Vocabulary Words in Arabic Text.
258-266
- Katja Filippova, Michael Strube:
Using linguistically motivated features for paragraph boundary identification.
267-274
- Cristina Nicolae, Gabriel Nicolae:
BESTCUT: A Graph Algorithm for Coreference Resolution.
275-283
- Akane Yakushiji, Yusuke Miyao, Tomoko Ohta, Yuka Tateisi, Jun-ichi Tsujii:
Automatic Construction of Predicate-argument Structure Patterns for Biomedical Information Extraction.
284-292
- Julia Hockenmaier, Aravind K. Joshi, Ken A. Dill:
Protein folding and chart parsing.
293-300
- William P. Headden III, Eugene Charniak, Mark Johnson:
Learning Phrasal Categories.
301-307
- David Reitter, Julia Hockenmaier, Frank Keller:
Priming Effects in Combinatory Categorial Grammar.
308-316
- Markus Dreyer, Jason Eisner:
Better Informed Training of Latent Syntactic Features.
317-326
Sentiment
Language Modeling
Short Poster Session 2:
Sentiment,
WSD,
Machine Learning Models and Methods,
Term and Entity Extraction
- Zheng-Yu Niu, Dong-Hong Ji, Chew Lim Tan:
Partially Supervised Sense Disambiguation by Learning Sense Number from Tagged and Untagged Corpora.
415-422
- Soo-Min Kim, Patrick Pantel, Timothy Chklovski, Marco Pennacchiotti:
Automatically Assessing Review Helpfulness.
423-430
- Yejin Choi, Eric Breck, Claire Cardie:
Joint Extraction of Entities and Relations for Opinion Recognition.
431-439
- Ellen Riloff, Siddharth Patwardhan, Janyce Wiebe:
Feature Subsumption for Opinion Analysis.
440-448
- Masao Utiyama, Mikio Yamamoto:
Relevance Feedback Models for Recommendation.
449-456
- James Gorman, James R. Curran:
Random Indexing using Statistical Weight Functions.
457-464
- Galen Andrew:
A Hybrid Markov/Semi-Markov Conditional Random Field for Sequence Segmentation.
465-472
- Ronen Feldman, Benjamin Rosenfeld:
Boosting Unsupervised Relation Extraction by Using NER.
473-481
- Conrad Sanderson, Simon Günter:
Short Text Authorship Attribution via Sequence Kernels, Markov Chains and Author Unmasking: An Investigation.
482-491
- Ganesh Ramakrishnan, Sreeram Balakrishnan, Sachindra Joshi:
Entity Annotation based on Inverse Index Operations.
492-500
- Hany Hassan, Ahmed Hassan, Ossama Emam:
Unsupervised Information Extraction Approach Using Graph Mutual Reinforcement.
501-508
- Honglei Guo, Li Zhang, Zhong Su:
Empirical Study on the Performance Stability of Named Entity Recognition Model across Domains.
509-516
Generation,
Summarization,
and Lexical Semantics
Machine Learning Models and Methods
Word Senses
Machine Learning Models and Methods
Last update Thu May 24 04:16:58 2012
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