Tomoko Ohta

Artificial Intelligence · 2002–2013

A researcher in the Science corpus: 7 papers; trusts 21 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it; #7,748 of 35,345 by trust here, #10,065 by citations
• Molecular Biology — 24 citations into it; #1,166 of 17,773 by trust here, #4,543 by citations
• Natural Language Processing — 12 citations into it; #2,306 of 5,688 by trust here, #1,874 by citations
• Evaluation & Benchmarks — 5 citations into it; #1,250 of 3,147 by trust here, #1,706 by citations

Whom Tomoko Ohta trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jin-Dong Kim
2. Nigel Collier
3. Junichi Tsujii
4. Eugene Charniak
5. Paul R. Kingsbury
6. Mitchell P. Marcus
7. Hao Chen
8. Sophia Ananiadou
9. Collin F. Baker
10. Chikashi Nobata

Who trusts Tomoko Ohta overall

1. Jin-Dong Kim
2. Marek Rei
3. Sampo Pyysalo
4. Jenny Rose Finkel
5. Hoifung Poon
6. Yoshimasa Tsuruoka
7. Junichi Tsujii
8. Dat Quoc Nguyen
9. Yuan Luo
10. Roi Reichart

Papers from Tomoko Ohta's perspective

Ordered by how strongly the researchers Tomoko Ohta trusts endorse each paper. Same corpus, a different order for every researcher.

1. Building a Large Annotated Corpus of English: The Penn Treebank
2. A Maximum Entropy Model for Part-Of-Speech Tagging
3. The Berkeley FrameNet Project
4. Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking (Annual Meeting of the Association for Computational Linguistics)
5. GENIA corpus - a semantically annotated corpus for bio-textmining
6. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
7. The GENIA corpus: an annotated research abstract corpus in molecular biology domain
8. Generating Typed Dependency Parses from Phrase Structure Parses
9. Automatic Labeling of Semantic Roles
10. Gene Ontology: tool for the unification of biology

Their papers

• Overview of BioNLP’09 Shared Task on Event Extraction (2009) — 675 citations
• The GENIA corpus: an annotated research abstract corpus in molecular biology domain (2002) — 339 citations
• Developing a Robust Part-of-Speech Tagger for Biomedical Text (2005) — 536 citations
• GENIA corpus - a semantically annotated corpus for bio-textmining (2003) — 1,388 citations
• Corpus annotation for mining biomedical events from literature (2008) — 423 citations
• Overview of BioNLP Shared Task 2013 (2013) — 346 citations
• brat: a Web-based Tool for NLP-Assisted Text Annotation (2012) — 1,442 citations