All publications sorted by recency
| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-450 | 451-475 | 476-500 | 501-525 | 526-550 | 551-569 |
| , and , A Persistent Feature-Object Database for Intelligent Text Archive Systems, in: Natural Language Processing - IJCNLP 2004, pages 197--205, Springer-Verlag, 2005 |
|
| , , and , Efficacy of Beam Thresholding, Unification Filtering and Hybrid Parsing in Probabilistic HPSG Parsing, in: Proceedings of IWPT 2005, pages 103--114, 2005 |
|
| and , Probabilistic disambiguation models for wide-coverage HPSG parsing, in: Proceedings of ACL 2005, pages 83--90, 2005 |
|
| , and , Probabilistic CFG with Latent Annotations, in: Proceedings of ACL 2005, pages 75--82, 2005 |
|
| and , Maximum Entropy Models with Inequality Constraints: A case study on text categorization (2005), in: Machine Learning, 60:1-3(169-194) |
[URL] |
| , and , Adapting a probabilistic disambiguation model of an HPSG parser to a new domain, in: Natural Language Processing – IJCNLP 2005, pages 199--210, Springer-Verlag, 2005 |
|
| , , , and , The National Centre for Text Mining: Aims and Objectives (2005), in: Ariadne, 42 |
[URL] |
| , , , and , Automatic Construction of Predicate-argument Structure Patterns for Biomedical Information Extraction, in: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 284--292, 2006 |
|
| , , and , Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches, in: Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, pages 850--857, Association for Computational Linguistics, 2006 |
|
| and , Building an Abbreviation Dictionary using a Term Recognition Approach (2006), in: Bioinformatics, 22:24(3089-3095) |
|
| and , Clustering Acronyms in Biomedical Text for Disambiguation, in: Proceedings of Fifth International conference on Language Resources and Evaluation (LREC 2006), pages 959-962, 2006 |
|
| , , , , , , , , , , and , An Intelligent Search Engine and GUI-based Efficient MEDLINE Search Tool Based on Deep Syntactic Parsing, in: Proceedings of the COLING/ACL 2006 Interactive Presentation Sessions, pages 17-20, 2006 |
|
| , , , and , Linguistic and Biological Annotations of Biological Interaction Events, in: Proceedings of The Fifth International Conference on Language Resources and Evaluation (LREC 2006), pages 1402--1405, 2006 |
|
| , , , and , Extremely Lexicalized Models for Accurate and Fast HPSG Parsing, in: Proceedings of EMNLP 2006, pages 155--163, 2006 |
|
| and , Mining Semantically Related Terms from Biomedical Literature (2006), in: ACM Transactions on Asian Language Information Processing (TALIP), 5:1(22--43) |
|
| , , , , , and , Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases, in: Proceedings of COLING-ACL 2006, pages 1017--1024, 2006 |
|
| , and , Terminology-Based Knowledge Mining for New Knowledge Discovery (2006), in: ACM Transactions on Asian Language Information Processing (TALIP), 5:1(74--88) |
|
| and , Corpora and their Annotation, in: Text Mining for Biology and Biomedicine, Artech House, 2006 |
| , , and , Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition, in: Proceedings of ACL 2006, 2006 |
|
| , , , , , and , Automatic Recognition of Topic-Classified Relations between Prostate Cancer and Genes from Medline Abstracts, in: Proceedings of the Second International Symposium on Semantic Mining in Biomedicine, pages 5-12, 2006 |
|
| , , , , , and , Extraction of Gene-Disease Relations from MedLine using Domain Dictionaries and Machine Learning, in: Proceedings of the Pacific Symposium on Biocomputing (PSB) 11, pages 4-15, 2006 |
|
| , and , Text mining and its potential applications in systems biology (2006), in: Trends in Biotechnology, 24:12(571 - 579) |
|
| , and , Ontology based Semantic Annotation for Knowledge Extraction, in: 2nd International Digital Curation Conference, 2006 |
|
| and , Automatic Terminology Management in Biomedicine, in: Text Mining for Biology and Biomedicine, pages 67--98, Artech House, Inc., 2006 |
| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-450 | 451-475 | 476-500 | 501-525 | 526-550 | 551-569 |
