Context-based extraction of concepts from unstructured textual documents

Author:

Gul Saima,Räbiger Stefan,Saygın Yücel

Funder

Higher Education Commission, Pakistan

Seventh Framework Programme

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference41 articles.

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2. Barker, K., Cornacchia, N., 2000. Using noun phrase heads to extract document keyphrases, in: Advances in Artificial Intelligence, 13th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2000, Montréal, Quebec, Canada, May 14–17, 2000, Proceedings, pp. 40–52.

3. Enriching word vectors with subword information;Bojanowski;Transactions of the Association for Computational Linguistics,2017

4. Boudin, F., 2016. pke: an open source python-based keyphrase extraction toolkit, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, Osaka, Japan. pp. 69–73. URL:http://aclweb.org/anthology/C16-2015.

5. Boudin, F., 2018. Unsupervised keyphrase extraction with multipartite graphs. arXiv preprint arXiv:1803.08721.

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