Unsupervised discovery of scenario-level patterns for Information Extraction
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Automatically generating extraction patterns from untagged text
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Unsupervised learning of soft patterns for generating definitions from online news
Proceedings of the 13th international conference on World Wide Web
Information extraction with automatic knowledge expansion
Information Processing and Management: an International Journal
pre-CODIE: crosslingual on-demand information extraction
NAACL-Demonstrations '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: Demonstrations - Volume 4
An improved extraction pattern representation model for automatic IE pattern acquisition
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Paraphrase acquisition for information extraction
PARAPHRASE '03 Proceedings of the second international workshop on Paraphrasing - Volume 16
Evaluation of features for sentence extraction on different types of corpora
MultiSumQA '03 Proceedings of the ACL 2003 workshop on Multilingual summarization and question answering - Volume 12
A survey for multi-document summarization
HLT-NAACL-DUC '03 Proceedings of the HLT-NAACL 03 on Text summarization workshop - Volume 5
URES: an unsupervised web relation extraction system
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Automatic paraphrase acquisition from news articles
HLT '02 Proceedings of the second international conference on Human Language Technology Research
An alignment-based pattern representation model for information extraction
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A task-based comparison of information extraction pattern models
DeepLP '07 Proceedings of the Workshop on Deep Linguistic Processing
A local tree alignment-based soft pattern matching approach for information extraction
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Recognizing entailment in intelligent tutoring systems*
Natural Language Engineering
Comparing information extraction pattern models
IEBeyondDoc '06 Proceedings of the Workshop on Information Extraction Beyond The Document
Improving semi-supervised acquisition of relation extraction patterns
IEBeyondDoc '06 Proceedings of the Workshop on Information Extraction Beyond The Document
Using multiple combined ranker for answering definitional questions
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Generating image descriptions using dependency relational patterns
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A local tree alignment approach to relation extraction of multiple arguments
Information Processing and Management: an International Journal
Dependency graphs as a generic interface between parsers and relation extraction rule learning
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
An overview and classification of adaptive approaches to information extraction
Journal on Data Semantics IV
Bootstrapping events and relations from text
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
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One of the central issues for information extraction is the cost of customization from one scenario to another. Research on the automated acquisition of patterns is important for portability and scalability. In this paper, we introduce Tree-Based Pattern representation where a pattern is denoted as a path in the dependency tree of a sentence. We outline the procedure to acquire Tree-Based Patterns in Japanese from un-annotated text. The system extracts the relevant sentences from the training data based on TF/IDF scoring and the common paths in the parse tree of relevant sentences are taken as extracted patterns.