CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization
Lei Li, Yang Xie, Wei Liu, Yinan Liu, Yafei Jiang, Siya Qi, Xingyuan Li
Abstract
Our system participates in two shared tasks, CL-SciSumm 2020 and LongSumm 2020. In the CL-SciSumm shared task, based on our previous work, we apply more machine learning methods on position features and content features for facet classification in Task1B. And GCN is introduced in Task2 to perform extractive summarization. In the LongSumm shared task, we integrate both the extractive and abstractive summarization ways. Three methods were tested which are T5 Fine-tuning, DPPs Sampling, and GRU-GCN/GAT.- Anthology ID:
- 2020.sdp-1.25
- Volume:
- Proceedings of the First Workshop on Scholarly Document Processing
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Muthu Kumar Chandrasekaran, Anita de Waard, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard Hovy, Petr Knoth, David Konopnicki, Philipp Mayr, Robert M. Patton, Michal Shmueli-Scheuer
- Venue:
- sdp
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 225–234
- Language:
- URL:
- https://aclanthology.org/2020.sdp-1.25
- DOI:
- 10.18653/v1/2020.sdp-1.25
- Bibkey:
- Cite (ACL):
- Lei Li, Yang Xie, Wei Liu, Yinan Liu, Yafei Jiang, Siya Qi, and Xingyuan Li. 2020. CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization. In Proceedings of the First Workshop on Scholarly Document Processing, pages 225–234, Online. Association for Computational Linguistics.
- Cite (Informal):
- CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization (Li et al., sdp 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.sdp-1.25.pdf
- Video:
- https://slideslive.com/38940743
Export citation
@inproceedings{li-etal-2020-cist,
title = "{CIST}@{CL}-{S}ci{S}umm 2020, {L}ong{S}umm 2020: Automatic Scientific Document Summarization",
author = "Li, Lei and
Xie, Yang and
Liu, Wei and
Liu, Yinan and
Jiang, Yafei and
Qi, Siya and
Li, Xingyuan",
editor = "Chandrasekaran, Muthu Kumar and
de Waard, Anita and
Feigenblat, Guy and
Freitag, Dayne and
Ghosal, Tirthankar and
Hovy, Eduard and
Knoth, Petr and
Konopnicki, David and
Mayr, Philipp and
Patton, Robert M. and
Shmueli-Scheuer, Michal",
booktitle = "Proceedings of the First Workshop on Scholarly Document Processing",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.sdp-1.25",
doi = "10.18653/v1/2020.sdp-1.25",
pages = "225--234",
abstract = "Our system participates in two shared tasks, CL-SciSumm 2020 and LongSumm 2020. In the CL-SciSumm shared task, based on our previous work, we apply more machine learning methods on position features and content features for facet classification in Task1B. And GCN is introduced in Task2 to perform extractive summarization. In the LongSumm shared task, we integrate both the extractive and abstractive summarization ways. Three methods were tested which are T5 Fine-tuning, DPPs Sampling, and GRU-GCN/GAT.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="li-etal-2020-cist">
<titleInfo>
<title>CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization</title>
</titleInfo>
<name type="personal">
<namePart type="given">Lei</namePart>
<namePart type="family">Li</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yang</namePart>
<namePart type="family">Xie</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Wei</namePart>
<namePart type="family">Liu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yinan</namePart>
<namePart type="family">Liu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yafei</namePart>
<namePart type="family">Jiang</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Siya</namePart>
<namePart type="family">Qi</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Xingyuan</namePart>
<namePart type="family">Li</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2020-11</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the First Workshop on Scholarly Document Processing</title>
</titleInfo>
<name type="personal">
<namePart type="given">Muthu</namePart>
<namePart type="given">Kumar</namePart>
<namePart type="family">Chandrasekaran</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Anita</namePart>
<namePart type="family">de Waard</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Guy</namePart>
<namePart type="family">Feigenblat</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Dayne</namePart>
<namePart type="family">Freitag</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Tirthankar</namePart>
<namePart type="family">Ghosal</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Eduard</namePart>
<namePart type="family">Hovy</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Petr</namePart>
<namePart type="family">Knoth</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">David</namePart>
<namePart type="family">Konopnicki</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Philipp</namePart>
<namePart type="family">Mayr</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Robert</namePart>
<namePart type="given">M</namePart>
<namePart type="family">Patton</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Michal</namePart>
<namePart type="family">Shmueli-Scheuer</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Online</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>Our system participates in two shared tasks, CL-SciSumm 2020 and LongSumm 2020. In the CL-SciSumm shared task, based on our previous work, we apply more machine learning methods on position features and content features for facet classification in Task1B. And GCN is introduced in Task2 to perform extractive summarization. In the LongSumm shared task, we integrate both the extractive and abstractive summarization ways. Three methods were tested which are T5 Fine-tuning, DPPs Sampling, and GRU-GCN/GAT.</abstract>
<identifier type="citekey">li-etal-2020-cist</identifier>
<identifier type="doi">10.18653/v1/2020.sdp-1.25</identifier>
<location>
<url>https://aclanthology.org/2020.sdp-1.25</url>
</location>
<part>
<date>2020-11</date>
<extent unit="page">
<start>225</start>
<end>234</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings %T CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization %A Li, Lei %A Xie, Yang %A Liu, Wei %A Liu, Yinan %A Jiang, Yafei %A Qi, Siya %A Li, Xingyuan %Y Chandrasekaran, Muthu Kumar %Y de Waard, Anita %Y Feigenblat, Guy %Y Freitag, Dayne %Y Ghosal, Tirthankar %Y Hovy, Eduard %Y Knoth, Petr %Y Konopnicki, David %Y Mayr, Philipp %Y Patton, Robert M. %Y Shmueli-Scheuer, Michal %S Proceedings of the First Workshop on Scholarly Document Processing %D 2020 %8 November %I Association for Computational Linguistics %C Online %F li-etal-2020-cist %X Our system participates in two shared tasks, CL-SciSumm 2020 and LongSumm 2020. In the CL-SciSumm shared task, based on our previous work, we apply more machine learning methods on position features and content features for facet classification in Task1B. And GCN is introduced in Task2 to perform extractive summarization. In the LongSumm shared task, we integrate both the extractive and abstractive summarization ways. Three methods were tested which are T5 Fine-tuning, DPPs Sampling, and GRU-GCN/GAT. %R 10.18653/v1/2020.sdp-1.25 %U https://aclanthology.org/2020.sdp-1.25 %U https://doi.org/10.18653/v1/2020.sdp-1.25 %P 225-234
Markdown (Informal)
[CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization](https://aclanthology.org/2020.sdp-1.25) (Li et al., sdp 2020)
- CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization (Li et al., sdp 2020)
ACL
- Lei Li, Yang Xie, Wei Liu, Yinan Liu, Yafei Jiang, Siya Qi, and Xingyuan Li. 2020. CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization. In Proceedings of the First Workshop on Scholarly Document Processing, pages 225–234, Online. Association for Computational Linguistics.