SemEval-2010 Task 5 : Automatic Keyphrase Extraction from Scientific Articles
By Su Nam Kim, Olena Medelyan, Min-Yen Kan, Timothy Baldwin. International Workshop on Semantic Evaluation, 2010
468 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/03589e1917debe6df148cac8963fd008e4140237
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- Isabelle Augenstein
- Sebastian Riedel
- Sebastian Ruder
- Andrew McCallum
- Mohit Bansal
- Anders Søgaard
- Christopher D. Manning
- Edward Collins
Citations in the corpus
- Automatic Keyphrase Extraction: A Survey of the State of the Art (2014, methodology): “To fill this gap, we ran four keyphrase extraction systems on four commonly-used datasets of varying sources, including Inspec abstracts (Hulth, 2003), DUC-2001 news articles (Over, 2001), scientific papers (Kim et al., 2010b), and meeting transcripts (Liu et al., 2009a).”
- A Supervised Approach to Extractive Summarisation of Scientific Papers (2017, background): “tion community, for other tasks in the space of automatically understand scientific publications, such as keyphrase extraction (Kim et al., 2010; Sterckx et al., 2016; Augenstein et al., 2017; Augenstein and Søgaard, 2017), semantic relation extraction (Gupta and Manning, 2011; Marsi and”
- SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications (2017, methodology): “There is existing work for capturing semantically similar keyphrases (Zesch and Gurevych, 2009; Kim et al., 2010a), however since these are captured using relations, similar to the pilot task on keyphrase extraction (Section 5) we evaluate keyphrases, keyphrase types and relations with exact match…”
- Multi-Task Learning of Keyphrase Boundary Classification (2017, methodology): “Typical KBC approaches therefore rely on hand-crafted gazetteers (Hasan and Ng, 2014) or reduce the task to extracting a list of keyphrases for each document (Kim et al., 2010) instead of identifying mentions of keyphrases in sentences.”
- Deep Keyphrase Generation (2017, methodology): “– SemEval-2010 (Kim et al., 2010): 288 articles were collected from the ACM Digital Library.”
- PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents (2017, methodology): “importance of keyphrase extraction from research papers is also emphasized by the SemEval Shared Tasks on this topic from 20171 and 2010 (Kim et al., 2010).”