In this paper we examine whether the distributional similarity of common terms is more important than the scale of common terms for FSD.
Bigger versus Similar: Selecting a background corpus for first story detection based on distributional similarity. Fei Wang, Robert J. Ross, John D. Kelleher.
Bigger versus Similar: Selecting a Background Corpus for First Story Detection based on Distributional Similarity. John D. Kelleher · Robert Ross. About.
Bigger versus Similar: Selecting a Background Corpus for First Story Detection Based on Distributional Similarity. Fei Wang, Technological University Dublin ...
Bigger versus Similar: Selecting a Background Corpus for First Story Detection Based on Distributional Similarity · Computer Science. Recent Advances in Natural ...
Bigger versus Similar: Selecting a Background Corpus for First Story Detection Based on Distributional Similarity · no code implementations • RANLP 2019 • Fei ...
Bigger versus Similar: Selecting a Background Corpus for First Story Detection Based on Distributional Similarity · Fei WangR. RossJohn D. Kelleher. Computer ...
(PDF) First story detection using a composite document ...
www.academia.edu › First_story_detectio...
Bigger versus Similar: Selecting a Background Corpus for First Story Detection Based on Distributional Similarity · John Kelleher. 2019, Proceedings - Natural ...
ger versus Similar: Selecting a Background Corpus for First Story. Detection based on Distributional Similarity. In Recent Advances in Natural Language ...
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