Abstract is missing.
- Overview of BioNLP'09 Shared Task on Event ExtractionJin-Dong Kim, Tomoko Ohta, Sampo Pyysalo, Yoshinobu Kano, Jun'ichi Tsujii. 1-9 [doi]
- Extracting Complex Biological Events with Rich Graph-Based Feature SetsJari Björne, Juho Heimonen, Filip Ginter, Antti Airola, Tapio Pahikkala, Tapio Salakoski. 10-18 [doi]
- Event Extraction from Trimmed Dependency GraphsEkaterina Buyko, Erik Faessler, Joachim Wermter, Udo Hahn. 19-27 [doi]
- UZurich in the BioNLP 2009 Shared TaskKaarel Kaljurand, Gerold Schneider, Fabio Rinaldi. 28-36 [doi]
- Biomedical Event Extraction without Training DataAndreas Vlachos, Paula Buttery, Diarmuid Ó Séaghdha, Ted Briscoe. 37-40 [doi]
- A Markov Logic Approach to Bio-Molecular Event ExtractionSebastian Riedel, Hong-Woo Chun, Toshihisa Takagi, Jun'ichi Tsujii. 41-49 [doi]
- High-precision biological event extraction with a concept recognizerK. Bretonnel Cohen, Karin Verspoor, Helen L. Johnson, Christophe Roeder, Philip V. Ogren, William A. Baumgartner Jr., Elizabeth K. White, Lawrence Hunter. 50-58 [doi]
- A memory-based learning approach to event extraction in biomedical textsRoser Morante, Vincent Van Asch, Walter Daelemans. 59-67 [doi]
- Extraction of biomedical events using case-based reasoningMariana L. Neves, José María Carazo, Alberto D. Pascual-Montano. 68-76 [doi]
- Biomedical Event Annotation with CRFs and Precision GrammarsAndrew MacKinlay, David Martínez 0001, Timothy Baldwin. 77-85 [doi]
- Molecular event extraction from Link Grammar parse treesJörg Hakenberg, Illés Solt, Domonkos Tikk, Luis Tari, Astrid Rheinländer, Quang Long Nguyen, Graciela Gonzalez, Ulf Leser. 86-94 [doi]
- Tunable Domain-Independent Event Extraction in the MIRA FrameworkGeorgi Georgiev, Kuzman Ganchev, Vassil Momtchev, Deyan Peychev, Preslav Nakov, Angus Roberts. 95-98 [doi]
- BioEve: Bio-Molecular Event Extraction from Text Using Semantic Classification and Dependency ParsingSyed Toufeeq Ahmed, Radhika Nair, Chintan Patel, Hasan Davulcu. 99-102 [doi]
- From Protein-Protein Interaction to Molecular Event ExtractionRune Sætre, Makoto Miwa, Kazuhiro Yoshida, Jun'ichi Tsujii. 103-106 [doi]
- A Multi-Phase Approach to Biomedical Event ExtractionHyoung-Gyu Lee, Han-Cheol Cho, Min-Jeong Kim, Joo-Young Lee, Gumwon Hong, Hae-Chang Rim. 107-110 [doi]
- Supervised Classification for Extracting Biomedical EventsArzucan Ozgur, Dragomir R. Radev. 111-114 [doi]
- Biomedical Event Detection using Rules, Conditional Random Fields and Parse Tree DistancesFarzaneh Sarafraz, James M. Eales, Reza Mohammadi, Jonathan E. Dickerson, David Robertson, Goran Nenadic. 115-118 [doi]
- Syntactic Dependency Based Heuristics for Biological Event ExtractionHalil Kilicoglu, Sabine Bergler. 119-127 [doi]
- Analyzing text in search of bio-molecular events: a high-precision machine learning frameworkSofie Van Landeghem, Yvan Saeys, Bernard De Baets, Yves Van de Peer. 128-136 [doi]
- Exploring ways beyond the simple supervised learning approach for biological event extractionGyörgy Móra, Richárd Farkas, György Szarvas, Zsolt Molnár. 137-140 [doi]