CoNLL-2010 Program: accepted papers
Instructions for presenters (oral talks and posters)
Oral Presentations
- Efficient, correct, unsupervised learning for context-sensitive languages, Alexander Clark
- Improvements in unsupervised co-occurrence based parsing, Christian Hänig
- Online Entropy-based Model of Lexical Category Acquisition, Grzegorz Chrupala and Afra Alishahi
- Viterbi Training Improves Unsupervised Dependency Parsing, Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky and Christopher D. Manning
- Identifying Patterns for Unsupervised Grammar Induction, Jesús Santamaría and Lourdes Araujo
- Distributed Asynchronous Online Learning for Natural Language Processing, Kevin Gimpel, Dipanjan Das and Noah A. Smith
- Learning Better Monolingual Models with Unannotated Bilingual Text, David Burkett, Slav Petrov, John Blitzer and Dan Klein
- On Reverse Feature Engineering of Syntactic Tree Kernels, Daniele Pighin and Alessandro Moschitti
- Inspecting the Structural Biases of Dependency Parsing Algorithms, Yoav Goldberg and Michael Elhadad
- Tagging and Linking Web Forum Posts, Su Nam Kim, Li Wang and Timothy Baldwin
- Joint Entity and Relation Extraction using Card-Pyramid Parsing, Rohit Kate and Raymond Mooney
- Driving Semantic Parsing from the World's Response, James Clarke, Dan Goldwasser, Ming-Wei Chang and Dan Roth
Poster Presentations
- Improved Unsupervised POS Induction Using Intrinsic Clustering Quality and a Zipfian Constraint, Roi Reichart, Raanan Fattal and Ari Rappoport
- Syntactic and Semantic Structure for Opinion Expression Detection, Richard Johansson and Alessandro Moschitti
- Type Level Clustering Evaluation: New Measures and a POS Induction Case Study, Roi Reichart, Omri Abend and Ari Rappoport
- Recession Segmentation: Simpler Online Word Segmentation Using Limited Resources, Constantine Lignos and Charles Yang
- Computing Optimal Alignments for the IBM-3 Translation Model, Thomas Schoenemann
- Semi-Supervised Recognition of Sarcastic Sentences in Twitter and Amazon, Oren Tsur, Dmitry Davidov and Ari Rappoport
- Learning Probabilistic Synchronous CFGs for Phrase-based Translation, Markos Mylonakis and Khalil Sima'an
- A Semi-Supervised Batch-Mode Active Learning Strategy for Improved Statistical Machine Translation, Sankaranarayanan Ananthakrishnan, Rohit Prasad, David Stallard and Prem Natarajan
- Improving Word Alignment by Semi-supervised Ensemble, Shujian Huang, Xinyu Dai and Jiajun Chen
- A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection, Chenghua Lin and Yulan He
- A Hybrid Approach to Emotional Sentence Polarity and Intensity Classification, Jorge Carrillo de Albornoz, Laura Plaza and Pablo Gervás
- Cross-caption coreference resolution for automatic image understanding, Micah Hodosh, Peter Young, Cyrus Rashtchian and Julia Hockenmaier
- Improved Natural Language Learning via Variance-Regularization Support Vector Machines, Shane Bergsma, Dekang Lin and Dale Schuurmans
Last update: June 15, 2010.
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