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In natural language processing, information extraction (IE) is a type of information retrieval whose goal is to automatically extract structured information, i.e. categorized and contextually and semantically well-defined data from a certain domain, from unstructured machine-readable documents. Read more
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| A survey of named entity recognition and classification Nadeau David, Satoshi Sekine |
| Boilerplate Detection using Shallow Text Features Christian Kohlschütter, Peter Fankhauser, Wolfgang Nejdl |
| CiteSeer: An Automatic Citation Indexing System C. Lee Giles, Kurt D. Bollacker, Steve Lawrence - Description of CiteSeer algorithms to extract author, title and citations
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| ClausIE: Clause-Based Open Information Extraction Luciano Del Corro, Rainer Gemulla |
| ClausIE: Clause-Based Open Information Extraction Luciano Del Corro, Rainer Gemulla |
| Collaboratively built semi-structured content and Artificial Intelligence: The story so far Eduard Hovy, Roberto Navigli, Simone Paolo Ponzetto |
| Data-Intensive Question Answering Eric Brill, Jimmy Lin, Michele Banko, Susan Dumais, Andrew Ng |
| Extraction of historical events from wikipedia Daniel Hienert, Francesco Luciano |
| Information Extraction Sunita Sarawagi - A very comprehensive survey on information extraction.
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| Information extraction bibliography |
| Learning Everything about Anything: Webly-Supervised Visual Concept Learning Santosh Kumar Divvala, Ali Farhadi, Carlos Guestrin |
| Learning to Extract International Relations from Political Context Brendan O’Connor, Brandon M. Stewart, Noah A. Smith |
| Leveraging Linguistic Structure For Open Domain Information Gabor Angeli, Melvin Johnson Premkumar, Christopher D. Manning |
| Semi-supervised named entity recognition: Learning to recognize 100 entity types with little supervision David Nadeau |
| Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity David Nadeau, Peter D. Turney, Stan Matwin |
| Using predicate-argument structures for information extraction Mihai Surdeanu, Sanda Harabagiu, John Williams, Paul Aarseth |
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