| HOME | HLT-NAACL 2004 WEB SITE | VENUE | ACL HOMEPAGE |
Chairs
Julia B. Hirschberg , University of Columbia (General Chair)
Susan Dumais, Microsoft Research (Program Committee Chair)
Daniel Marcu, ISI/USC (Program Committee Chair)
Salim Roukos, IBM T. J. Watson Research Center (Program Committee Chair)
| ps | bib | A Statistical Model for Multilingual Entity Detection and Tracking R Florian, H Hassan, A Ittycheriah, H Jing, N Kambhatla, X Luo, N Nicolov and S Roukos |
pp. 1-8 | |
| ps | bib | Cross-Document Coreference on a Large Scale Corpus Chung Heong Gooi and James Allan |
pp. 9-16 | |
| ps | bib | Robust Reading: Identification and Tracing of Ambiguous Names Xin Li, Paul Morie and Dan Roth |
pp. 17-24 | |
| ps | bib | A Salience-Based Approach to Gesture-Speech Alignment Jacob Eisenstein and C. Mario Christoudias |
pp. 25-32 | |
| ps | bib | Balancing data-driven and rule-based approaches in the context of a Multimodal Conversational System Srinivas Bangalore and Michael Johnston |
pp. 33-40 | |
| ps | bib | Optimizing Automated Call Routing by Integrating Spoken Dialog Models with Queuing Models Tim Paek and Eric Horvitz |
pp. 41-48 | |
| ps | bib | Answering Definition Questions with Multiple Knowledge Sources Wesley Hildebrandt, Boris Katz and Jimmy Lin |
pp. 49-56 | |
| ps | bib | Automatic Question Answering: Beyond the Factoid Radu Soricut and Eric Brill |
pp. 57-64 | |
| ps | bib | A Probabilistic Rasch Analysis of Question Answering Evaluations Rense Lange, Juan Moran, Warren R Greiff and Lisa Ferro |
pp. 65-72 | |
| ps | bib | Acquiring Hyponymy Relations from Web Documents Keiji Shinzato and Kentaro Torisawa |
pp. 73-80 | |
| ps | bib | Sentence-Internal Prosody Does not Help Parsing the Way Punctuation Does Michelle Gregory, Mark Johnson and Eugene Charniak |
pp. 81-88 | |
| ps | bib | Ensemble-based Active Learning for Parse Selection Miles Osborne and Jason Baldridge |
pp. 89-96 | |
| ps | bib | Speed and Accuracy in Shallow and Deep Stochastic Parsing Ron Kaplan, Stefan Riezler, Tracy H King, John T Maxwell III, Alex Vasserman and Richard Crouch |
pp. 97-104 | |
| ps | bib | Training Tree Transducers Jonathan Graehl and Kevin Knight |
pp. 105-112 | |
| ps | bib | Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization Regina Barzilay and Lillian Lee |
pp. 113-120 | |
| ps | bib | The Web as a Baseline: Evaluating the Performance of Unsupervised Web-based Models for a Range of NLP Tasks Mirella Lapata and Frank Keller |
pp. 121-128 | |
| ps | bib | Lattice-Based Search for Spoken Utterance Retrieval Murat Saraclar and Richard Sproat |
pp. 129-136 | |
| ps | bib | Detecting Structural Metadata with Decision Trees and Transformation-Based Learning Joungbum Kim, Sarah E Schwarm and Mari Ostendorf |
pp. 137-144 | |
| ps | bib | Evaluating Content Selection in Summarization: The Pyramid Method Ani Nenkova and Rebecca Passonneau |
pp. 145-152 | |
| ps | bib | Inferring Sentence-internal Temporal Relations Mirella Lapata and Alex Lascarides |
pp. 153-160 | |
| ps | bib | A Smorgasbord of Features for Statistical Machine Translation Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur, Anoop Sarkar, Kenji Yamada, Alex Fraser, Shankar Kumar, Libin Shen, David Smith, Katherine Eng, Viren Jain, Zhen Jin and Dragomir Radev |
pp. 161-168 | |
| ps | bib | Minimum Bayes-Risk Decoding for Statistical Machine Translation Shankar Kumar and William Byrne |
pp. 169-176 | |
| ps | bib | Discriminative Reranking for Machine Translation Libin Shen, Anoop Sarkar and Franz Josef Och |
pp. 177-184 | |
| ps | bib | Evaluating Multiple Aspects of Coherence in Student Essays Derrick Higgins, Jill Burstein, Daniel Marcu and Claudia Gentile |
pp. 185-192 | |
| ps | bib | A Language Modeling Approach to Predicting Reading Difficulty Kevyn Collins-Thompson and James P Callan |
pp. 193-200 | |
| ps | bib | Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources Kate Forbes-Riley and Diane Litman |
pp. 201-208 | |
| ps | bib | The Tao of CHI: Towards Effective Human-Computer Interaction Robert Porzel and Manja Baudis |
pp. 209-216 | |
| ps | bib | Non-Native Users in the Let's Go!! Spoken Dialogue System: Dealing with Linguistic Mismatch Antoine Raux and Maxine Eskenazi |
pp. 217-224 | |
| ps | bib | Comparison of two interactive search refinement techniques Olga Vechtomova and Murat Karamuftuoglu |
pp. 225-232 | |
| ps | bib | Shallow Semantic Parsing using Support Vector Machines Sameer S Pradhan, Wayne H Ward, Kadri Hacioglu, James H Martin and Dan Jurafsky |
pp. 233-240 | |
| ps | bib | Paraphrasing Predicates from Written Language to Spoken Language Using the Web Nobuhiro Kaji, Masashi Okamoto and Sadao Kurohashi |
pp. 241-248 | |
| ps | bib | Shallow Semantc Parsing of Chinese Honglin Sun and Daniel Jurafsky |
pp. 249-256 | |
| ps | bib | Improvements in Phrase-Based Statistical Machine Translation Richard Zens and Hermann Ney |
pp. 257-264 | |
| ps | bib | Improved Machine Translation Performance via Parallel Sentence Extraction from Comparable Corpora Dragos Stefan Munteanu, Alexander Fraser and Daniel Marcu |
pp. 265-272 | |
| ps | bib | What's in a translation rule? Michel Galley, Mark Hopkins, Kevin Knight and Daniel Marcu |
pp. 273-280 | |
| ps | bib | Improving Named Entity Translation Combining Phonetic and Semantic Similarities Fei Huang, Stephan Vogel and Alex Waibel |
pp. 281-288 | |
| ps | bib | The (Non)Utility of Predicate-Argument Frequencies for Pronoun Interpretation Andrew Kehler, Douglas Appelt, Lara Taylor and Aleksandr Simma |
pp. 289-296 | |
| ps | bib | Unsupervised Learning of Contextual Role Knowledge for Coreference Resolution David Bean and Ellen Riloff |
pp. 297-304 | |
| ps | bib | Exponential Priors for Maximum Entropy Models Joshua Goodman |
pp. 305-312 | |
| ps | bib | Multiple Similarity Measures and Source-Pair Information in Story Link Detection Francine Chen, Ayman Farahat and Thorsten Brants |
pp. 313-320 | |
| ps | bib | Automatically Labeling Semantic Classes Patrick Pantel and Deepak Ravichandran |
pp. 321-328 | |
| ps | bib | Accurate Information Extraction from Research Papers using Conditional Random Fields Fuchun Peng and Andrew McCallum |
pp. 329-336 | |
| ps | bib | Name Tagging with Word Clusters and Discriminative Training Scott Miller, Jethran Guinness and Alex Zamanian |
pp. 337-342 |