Sentence Extraction by Spreading Activation with Refined Similarity Measure Naoaki Okazaki and Yutaka Matsuo∗ and Naohiro Matsumura and Mitsuru Ishizuka Graduate School of Information Science and Technology The Univers

Source URL: www.chokkan.org

Sentence Extraction by Spreading Activation with Refined Similarity Measure Naoaki Okazaki and Yutaka Matsuo∗ and Naohiro Matsumura and Mitsuru Ishizuka Graduate School of Information Science and Technology The Univers

Source URL: ymatsuo.com

Large Scale Application of Neural Network Based Semantic Role Labeling for Automated Relation Extraction from Biomedical Texts Thorsten Barnickel1*, Jason Weston2, Ronan Collobert2, Hans-Werner Mewes1,3, Volker Stu¨mpfl

Source URL: ronan.collobert.com

• Natural language processing
• Grammar
• Semantics
• Data mining
• Semantic role labeling
• Biomedical text mining
• Information extraction
• Sentence
• Predicate
• Linguistics
• Computational linguistics
• Science

Cerebral Cortex December 2007;17:doi:cercor/bhm016 Advance Access publication March 19, 2007 Brain Networks Subserving the Extraction of Sentence Information and Its Encoding

Source URL: www.behaviometrix.com

• Ethology
• Neuroimaging
• Semantics
• Memory
• Functional magnetic resonance imaging
• Semantic memory
• Working memory
• Recall
• Triangular part of inferior frontal gyrus
• Mind
• Cognitive science
• Mental processes

TREC2007 QUESTION ANSWERING EXPERIMENTS AT TOKYO INSTITUTE OF TECHNOLOGY Edward W. D. Whittaker, Matthias H. Heie, Josef R. Novak and Sadaoki Furui Tokyo Institute of Technology, Department of Computer ScienceOok

Source URL: trec.nist.gov

• Information science
• Information retrieval
• Question answering
• Language model
• Document retrieval
• Sentence extraction
• Question
• N-gram
• Natural language processing
• Science
• Computational linguistics

Using Semantic Relations with World Knowledge for Question Answering Ka Kan Lo and Wai Lam Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong kklo,wlam @se.cuhk.e

Source URL: trec.nist.gov

• Information science
• Linguistics
• Information retrieval
• Artificial intelligence applications
• Question answering
• Yes and no
• Sentence extraction
• Question
• Parsing
• Computational linguistics
• Science
• Natural language processing

Microsoft Word - IBSAI NNets, Gene, NLP.doc

Source URL: www.foibg.com

• Evaluation methods
• Data collection
• Automatic summarization
• Data mining
• Question
• Sentence extraction
• Content analysis
• Graduate Record Examinations
• Survey methodology
• Science
• Computational linguistics
• Natural language processing

A Comparison of Word- and Term-based Methods for Automatic Web Site Summarization Yongzheng Zhang Evangelos Milios

Source URL: web.cs.dal.ca

• Linguistics
• Information science
• Automatic summarization
• Terminology extraction
• Sentence extraction
• Keywords
• Web search engine
• JavaScript
• Multi-document summarization
• Natural language processing
• Computational linguistics
• Science

Straight to the Point: Discovering Themes for Summary Generation Stephen Wan Centre for Language Technology Macquarie University Sydney, Australia

Source URL: www.alta.asn.au

• Computational linguistics
• Information retrieval
• Automatic summarization
• Sentence extraction
• Singular value decomposition
• Latent semantic analysis
• Language model
• Recall
• Sentence
• Natural language processing
• Science
• Algebra

Open API for Ontology Building based on Sentence Triplet Extraction Il-Chul Moon, Se-Jin Nam, Dong-hyun Choi, Key-Sun Choi Semantic Web Research Center, Computer Science Department, KAIST 335 Gwahangno Yuseong-gu, Daejeo

Source URL: semanticweb.kaist.ac.kr

• Data
• Technical communication
• Science
• Information science
• Knowledge representation
• Web Ontology Language
• Semantic integration
• Application programming interface
• KAON
• Ontology
• Information
• Semantic Web