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Explaining Relationships Between Scientific Documents

Explaining Relationships Between Scientific Documents

2 February 2020
Kelvin Luu
Xinyi Wu
Rik Koncel-Kedziorski
Kyle Lo
Isabel Cachola
Noah A. Smith
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Papers citing "Explaining Relationships Between Scientific Documents"

9 / 9 papers shown
Title
Pre-training Multi-task Contrastive Learning Models for Scientific
  Literature Understanding
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding
Yu Zhang
Hao Cheng
Zhihong Shen
Xiaodong Liu
Yejiang Wang
Jianfeng Gao
26
13
0
23 May 2023
CiteBench: A benchmark for Scientific Citation Text Generation
CiteBench: A benchmark for Scientific Citation Text Generation
Martin Funkquist
Ilia Kuznetsov
Yufang Hou
Iryna Gurevych
17
16
0
19 Dec 2022
Moving beyond word lists: towards abstractive topic labels for
  human-like topics of scientific documents
Moving beyond word lists: towards abstractive topic labels for human-like topics of scientific documents
Domenic Rosati
21
0
0
28 Oct 2022
CORWA: A Citation-Oriented Related Work Annotation Dataset
CORWA: A Citation-Oriented Related Work Annotation Dataset
Xiangci Li
Biswadip Mandal
Jessica Ouyang
17
18
0
07 May 2022
Neighborhood Contrastive Learning for Scientific Document
  Representations with Citation Embeddings
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
Malte Ostendorff
Nils Rethmeier
Isabelle Augenstein
Bela Gipp
Georg Rehm
19
73
0
14 Feb 2022
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific
  Document Similarity
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity
Sheshera Mysore
Arman Cohan
Tom Hope
11
39
0
16 Nov 2021
Knowledge Enhanced Contextual Word Representations
Knowledge Enhanced Contextual Word Representations
Matthew E. Peters
Mark Neumann
IV RobertL.Logan
Roy Schwartz
Vidur Joshi
Sameer Singh
Noah A. Smith
228
656
0
09 Sep 2019
On Extractive and Abstractive Neural Document Summarization with
  Transformer Language Models
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Sandeep Subramanian
Raymond Li
Jonathan Pilault
C. Pal
233
215
0
07 Sep 2019
ScisummNet: A Large Annotated Corpus and Content-Impact Models for
  Scientific Paper Summarization with Citation Networks
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks
Michihiro Yasunaga
Jungo Kasai
Rui Zhang
Alexander R. Fabbri
Irene Z Li
Dan Friedman
Dragomir R. Radev
70
206
0
04 Sep 2019
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