Keyword Extraction
Keyword Extraction is a natural language processing task that identifies the most salient and representative terms or phrases from a text document, distinguishing it from other text summarization techniques by focusing specifically on isolating significant lexical units rather than generating condensed narrative summaries.
1.3K
Publications
65.5K
Citations
3.6K
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1K
Institutions
Publications per year
2017–2026
424
Parents
1.3K
Google Speech Commands-Musan test set
arXiv (Cornell University) · 2018 · 1.1K citations · Full text
Computing, Data Science, Acoustics +14
Placing search in context: the concept revisited.
Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias et al. · 2002 · 935 citations
Rada Mihalcea, Andras Csomai · 2007 · 921 citations
Learning Algorithms for Keyphrase Extraction
Peter D. Turney · Information Retrieval · 2000 · 838 citations · Full text
1–5 of 1.3K
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1–5 of 3.6K
1K
Tsinghua University
Beijing, China
16 h-index
58 publications
4.5K citations
Carnegie Mellon University
Pittsburgh, United States
14 h-index
36 publications
2.7K citations
The University of Tokyo
Tokyo, Japan
14 h-index
33 publications
1.8K citations

Peking University
Beijing, China
13 h-index
28 publications
3.3K citations
National University of Singapore
Singapore, Singapore
12 h-index
21 publications
1.1K citations
Google (United States)
Mountain View, United States
12 h-index
21 publications
2.6K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
45 publications
1.2K citations
Wuhan University
Wuhan, China
11 h-index
40 publications
1.8K citations
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21 publications · 567 citations
16
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Repository · 19 publications · 1.7K citations
16
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16 publications · 1.3K citations
14
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17 publications · 892 citations
14
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11 publications · 598 citations
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