SaSAKE: Syntax and Semantics Aware Keyphrase Extraction from Research Papers
Santosh Tokala, Debarshi Kumar Sanyal, Plaban Kumar Bhowmick, Partha Pratim Das
Abstract
Keyphrases in a research paper succinctly capture the primary content of the paper and also assist in indexing the paper at a concept level. Given the huge rate at which scientific papers are published today, it is important to have effective ways of automatically extracting keyphrases from a research paper. In this paper, we present a novel method, Syntax and Semantics Aware Keyphrase Extraction (SaSAKE), to extract keyphrases from research papers. It uses a transformer architecture, stacking up sentence encoders to incorporate sequential information, and graph encoders to incorporate syntactic and semantic dependency graph information. Incorporation of these dependency graphs helps to alleviate long-range dependency problems and identify the boundaries of multi-word keyphrases effectively. Experimental results on three benchmark datasets show that our proposed method SaSAKE achieves state-of-the-art performance in keyphrase extraction from scientific papers.- Anthology ID:
- 2020.coling-main.469
- Volume:
- Proceedings of the 28th International Conference on Computational Linguistics
- Month:
- December
- Year:
- 2020
- Address:
- Barcelona, Spain (Online)
- Venue:
- COLING
- SIG:
- Publisher:
- International Committee on Computational Linguistics
- Note:
- Pages:
- 5372–5383
- Language:
- URL:
- https://aclanthology.org/2020.coling-main.469
- DOI:
- 10.18653/v1/2020.coling-main.469
- Cite (ACL):
- Santosh Tokala, Debarshi Kumar Sanyal, Plaban Kumar Bhowmick, and Partha Pratim Das. 2020. SaSAKE: Syntax and Semantics Aware Keyphrase Extraction from Research Papers. In Proceedings of the 28th International Conference on Computational Linguistics, pages 5372–5383, Barcelona, Spain (Online). International Committee on Computational Linguistics.
- Cite (Informal):
- SaSAKE: Syntax and Semantics Aware Keyphrase Extraction from Research Papers (Tokala et al., COLING 2020)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2020.coling-main.469.pdf
- Data
- KP20k