Work

An Entity-Driven Framework for Abstractive Summarization

Year: 2019

Type: conference-paper

Abstract: Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.

Source: Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI: 10.18653/v1/d19-1323

Authors: Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang

Institutions: Northeastern University, Boston University

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, Office of the Director of National Intelligence, Intelligence Advanced Research Projects Activity, NIH Office of the Director

Awards: CRII: RI: Towards Abstractive Summarization of Meetings, RI: Small: Collaborative Research: Computational Methods for Argument Mining: Extraction, Aggregation, and Generation, G8810978190

OpenAlex ID: W2971289520

FWCI: 4.401

Cites: 51

Cited by: 61

Related to: 10