Affiliation of Author(s):Beijing University of Posts and Telecommunications

Teaching and Research Group:Center for Intelligence Science and Technology

Journal:Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019), co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019)

Key Words:Citation Linkage, Facet Classification, Summarization

Abstract:Starting from its former version, CIST@CLSciSumm-18, our CIST@CLSciSumm-19 system is going to participate in the shared Task 1A (citation linkage), Task 1B (facet classification) and Task 2 (summarization) in CLSciSumm-19@SIGIR2019. We build a new feature of Word2vec H for the CNN model to calculate sentence similarity for citation linkage. We adopt CNN and RNN variants for facet classification. And in order to improve the performance of summarization, we develop more semantic representations for sentences based on neural network language models to construct new kernel matrix used in DPPs.

Indexed by:Essay collection

First Author:Lei Li

All the Authors:Yang Xie,Zuying Huang,Wei Liu,Xingyuan Li,Yinan Liu

Correspondence Author:Yingqi Zhu

Discipline:Engineering

First-Level Discipline:Computer science and technology *

Document Type:C

Page Number:196-207

Number of Words:4550

Translation or Not:no

Date of Publication:2019-07-25

Included Journals:EI