Web IR NLP Group @ NUS
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Conditional Random Fields
Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs
We address the tasks of recovering bibliographic and document structure metadata from scholarly documents. We leverage higher order …
Nguyen Viet Cuong
,
Muthu Kumar Chandrasekaran
,
Min-Yen Kan
,
Wee Sun Lee
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Extracting and matching authors and affiliations in scholarly documents
We introduce Enlil, an information extraction system that discovers the institutional affiliations of authors in scholarly papers. …
Huy Hoang Nhat Do
,
Muthu Kumar Chandrasekaran
,
Philip S. Cho
,
Min-Yen Kan
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Logical Structure Recovery in Scholarly Articles with Rich Document Features
Scholarly digital libraries increasingly provide analytics to information within documents themselves. This includes information about …
Min-Yen Kan
,
Minh-Thang Luong
,
Thuy Dung Nguyen
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