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Identifying Reference Spans: Topic Modeling and Word Embeddings help IR
August 09, 2017 ยท Declared Dead ยท ๐ International Journal on Digital Libraries
"No code URL or promise found in abstract"
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Authors
Luis Moraes, Shahryar Baki, Rakesh Verma, Daniel Lee
arXiv ID
1708.02989
Category
cs.CL: Computation & Language
Citations
6
Venue
International Journal on Digital Libraries
Last Checked
5 months ago
Abstract
The CL-SciSumm 2016 shared task introduced an interesting problem: given a document D and a piece of text that cites D, how do we identify the text spans of D being referenced by the piece of text? The shared task provided the first annotated dataset for studying this problem. We present an analysis of our continued work in improving our system's performance on this task. We demonstrate how topic models and word embeddings can be used to surpass the previously best performing system.
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