📰 CoNLL 2003: all accepted papers

35 papers · the most cited first · ← CoNLL 2003

1. A Robust Risk Minimization based Named Entity Recognition System ↗Tong Zhang, David Johnson
2. A Simple Named Entity Extractor using AdaBoost ↗Xavier Carreras, Lluís Màrquez, Lluís Padró
3. A Stacked, Voted, Stacked Model for Named Entity Recognition ↗Dekai Wu, Grace Ngai, Marine Carpuat
4. A model of syntactic disambiguation based on lexicalized grammars ↗Yusuke Miyao, Jun'ichi Tsujii
5. Active learning for HPSG parse selection ↗Jason Baldridge, Miles Osborne
6. An SVM-based voting algorithm with application to parse reranking ↗Libin Shen, Aravind K. Joshi
7. An efficient clustering algorithm for class-based language models ↗Takuya Matsuzaki, Yusuke Miyao, Jun'ichi Tsujii
8. Bootstrapping POS-taggers using unlabelled data ↗Stephen Clark, James Curran, Miles Osborne
9. Confidence estimation for translation prediction ↗Simona Gandrabur, George Foster
10. Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced LexiconsAndrew McCallum, Wei Liour summary
11. Exceptionality and Natural Language Learning ↗Mihai Rotaru, Diane J. Litman
12. Identifying Events using Similarity and Context ↗Dominic R. Jones, Cynthia A. Thompson
13. Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity RecognitionErik F. Tjong Kim Sang, Fien De Meulderour summary
14. Language Independent NER using a Maximum Entropy Tagger ↗James Curran, Stephen Clark
15. Learning a Perceptron-Based Named Entity Chunker via Online Recognition Feedback ↗Xavier Carreras, Lluís Màrquez, Lluís Padró
16. Learning subjective nouns using extraction pattern bootstrappingEllen Riloff, Janyce Wiebe, Theresa Wilsonour summary
17. Maximum Entropy Models for Named Entity Recognition ↗Oliver Bender, Franz Josef Och, Hermann Ney
18. Memory-Based Named Entity Recognition using Unannotated Data ↗Fien De Meulder, Walter Daelemans
19. Memory-based one-step named-entity recognition: Effects of seed list features, classifier stacking, and unannotated data ↗Iris Hendrickx, Antal van den Bosch
20. Meta-Learning Orthographic and Contextual Models for Language Independent Named Entity Recognition ↗Robert Munro, Daren Ler, Jon Patrick
21. Named Entity Recognition Using a Character-based Probabilistic Approach ↗Casey Whitelaw, Jon Patrick
22. Named Entity Recognition through Classifier CombinationRadu Florian, Abe Ittycheriah, Hongyan Jing et al.our summary
23. Named Entity Recognition using Hundreds of Thousands of Features ↗James Mayfield, Paul McNamee, Christine Piatko
24. Named Entity Recognition with Character-Level Models ↗Dan Klein, Joseph Smarr, Huy Nguyen et al.
25. Named Entity Recognition with Long Short-Term Memory ↗James Hammerton
26. Named Entity Recognition with a Maximum Entropy Approach ↗Hai Leong Chieu, Hwee Tou Ng
27. Phrasenet: towards context sensitive lexical semantics ↗Xin Li, Dan Roth, Yuancheng Tu
28. Preposition Semantic Classification via Treebank and FrameNet ↗Tom O'Hara, Janyce Wiebe
29. Semi-supervised Verb Class Discovery Using Noisy Features ↗Suzanne Stevenson, Eric Joanis
30. Training a Naive Bayes Classifier via the EM Algorithm with a Class Distribution Constraint ↗Yoshimasa Tsuruoka, Jun'ichi Tsujii
31. Unsupervised Personal Name Disambiguation ↗Gideon Mann, David Yarowsky
32. Unsupervised learning of word sense disambiguation rules by estimating an optimum iteration number in the EM algorithm ↗Hiroyuki Shinnou, Minoru Sasaki
33. Updating an NLP system to fit new domains: an empirical study on the sentence segmentation problem ↗Tong Zhang, Fred Damerau, David Johnson
34. Using LSA and Noun Coordination Information to Improve the Recall and Precision of Automatic Hyponymy Extraction ↗Scott Cederberg, Dominic Widdows
35. Using `smart' bilingual projection to feature-tag a monolingual dictionary ↗Katharina Probst

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