📰 EMNLP 1999: all accepted papers

35 papers · the most cited first · ← EMNLP 1999

1. A Learning Approach to Shallow Parsing ↗Marcia Muñoz, Vasin Punyakanok, Dan Roth et al.
2. An Information-Theoretic Empirical Analysis of Dependency-Based Feature Types for Word Prediction Models ↗Dekai Wu, Jun Zhao, Zhifang Sui
3. An Iterative Approach to Estimating Frequencies over a Semantic Hierarchy ↗Stephen Clark, David Weir
4. Applying Extrasentential Context To Maximum Entropy Based Tagging With A Large Semantic And Syntactic Tagset ↗Ezra Black, Andrew Finch, Ruiqiang Zhang
5. Automatic Construction of Weighted String Similarity Measures ↗Jorg Tiedemann
6. Automatically Merging Lexicons that have Incompatible Part-of-Speech Categories ↗Daniel Ka-Leung Chan, Dekai Wu
7. Boosting Applied to Tagging and PP Attachment ↗Steven Abney, Robert E. Schapire, Yoram Singer
8. Cascaded Grammatical Relation Assignment ↗Sabine Buchholz, Jorn Veenstra, Walter Daelemans
9. Corpus-Based Approach for Nominal Compound Analysis for Korean Based on Linguistic and Statistical Information ↗Juntae Yoon, Key-Sun Choi, Mansuk Song
10. Corpus-Based Learning for Noun Phrase Coreference Resolution ↗Wee Meng Soon, Hwee Tou Ng, Chung Yong Lim
11. Cross-Language Information Retrieval for Technical Documents ↗Atsushi Fujii, Tetsuya Ishikawa
12. Detecting Text Similarity over Short Passages: Exploring Linguistic Feature Combinations via Machine Learning ↗Vasileios Hatzivassiloglou, Judith L. Klavans, Eleazar Eskin
13. Determining the specificity of nouns from text ↗Sharon A. Caraballo, Eugene Charniak
14. Exploiting Diversity in Natural Language Processing: Combining Parsers ↗John C. Henderson, Eric Brill
15. Guiding a Well-Founded Parser with Corpus Statistics ↗Amon Seagull, Lenhart Schubert
16. HMM Specialization with Selective Lexicalization ↗Jin-Dong Kim, Sang-Zoo Lee, Hae-Chang Rim
17. Hybrid Disambiguation of Prepositional Phrase Attachment and Interpretation ↗Sven Hartrumpf
18. Improved Alignment Models for Statistical Machine TranslationFranz Josef Och, Christoph Tillmann, Hermann Neyour summary
19. Improving Brill's POS Tagger for an Agglutinative Language ↗Beata Megyesi
20. Improving POS Tagging Using Machine-Learning Techniques ↗Lluis Marquez, Horacio Rodriguez, Josep Carmona et al.
21. Language Independent Named Entity Recognition Combining Morphological and Contextual Evidence ↗Silviu Cucerzan, David Yarowsky
22. Learning Discourse Relations with Active Data Selection ↗Tadashi Nomoto, Yuji Matsumoto
23. Lexical ambiguity and Information Retrieval revisited ↗Julio Gonzalo, Anselmo Penas, Felisa Verdejo
24. Mapping Multilingual Hierarchies Using Relaxation Labeling ↗J. Daudé, L. Padró, G. Rigau
25. Noun Phrase Coreference as ClusteringClaire Cardie, Kiri Wagstaffour summary
26. POS Tags and Decision Trees for Language Modeling ↗Peter A. Heeman
27. PP-Attachment: A Committee Machine Approach ↗Martha A. Alegre, Josep M. Sopena, Agusti Lloberas
28. Retrieving Collocations From Korean Text ↗Seonho Kim, Zooil Yang, Mansuk Song et al.
29. Taking the load off the conference chairs-towards a digital paper-routing assistant ↗David Yarowsky, Radu Florian
30. Text-Translation Alignment: Three Languages Are Better Than Two ↗Michel Simard
31. Unsupervised Models for Named Entity ClassificationMichael Collins, Yoram Singerour summary
32. Using Subcategorization to Resolve Verb Class Ambiguity ↗Maria Lapata, Chris Brew
33. What's Happened Since the First SIGDAT Meeting? ↗Kenneth Ward Church
34. Why Doesn't Natural Language Come Naturally? ↗Richard Schwartz
35. Word Informativeness and Automatic Pitch Accent Modeling ↗Shimei Pan, Kathleen R. McKeown

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