eprintid: 3639
rev_number: 6
eprint_status: archive
userid: 290
dir: disk0/00/00/36/39
datestamp: 2019-11-27 14:09:04
lastmod: 2019-11-27 14:09:04
status_changed: 2019-11-27 14:09:04
type: conference_item
metadata_visibility: show
creators_name: Kieu, Thanh Binh
creators_name: Pham, Bao Son
creators_name: Phan, Xuan Hieu
creators_name: Piccardi, Massimo
creators_id: sonpb@vnu.edu.vn
creators_id: hieupx@vnu.edu.vn
title: A Submodular Approach for Reference Recommendation
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: Choosing appropriate references for a given topic is an important, yet challenging task. The pool of potential candidates is typically very large, in the order of tens of thousands, and growing by the day. For this reason, this paper proposes an approach for automatically providing a reference list for a given abstract. The approach is based on an original submodular inference function which balances relevance, coverage and diversity in the reference list. Experiments are carried out using an ACL corpus as a source for the references and evaluated in terms of precision-recall, MAP and MRR. The results show the remarkable comparative performance of the proposed approach.
date: 2019-10-11
date_type: published
full_text_status: none
pres_type: paper
event_title: The 16th International Conference of the Pacific Association for Computational Linguistics (PACLING 2019)
event_location: Hanoi, Vietnam
event_dates: 11-13/10/2019
event_type: conference
refereed: TRUE
citation:   Kieu, Thanh Binh and Pham, Bao Son and Phan, Xuan Hieu and Piccardi, Massimo  (2019) A Submodular Approach for Reference Recommendation.  In: The 16th International Conference of the Pacific Association for Computational Linguistics (PACLING 2019), 11-13/10/2019, Hanoi, Vietnam.