Fetching the paper…
Reading the bibliography…
Knowledge graphs capture entities and relations from long documents and can facilitate reasoning in many downstream applications.
Pattern Matching: the Gestalt Approach
Ratcliff, J. W.; and Metzener, D. E. 1988 · 1988
Earlier work this paper cites.
The pagerank citation ranking: Bringing order to the web
Page, L.; Brin, S.; Motwani, R.; and Winograd, T. 1999 · 1999
Earlier work this paper cites.
Luu, K.; Koncel-Kedziorski, R.; Lo, K.; Cachola, I.; and Smith, N. A. 2020 · 2002
Earlier work this paper cites.
LexRank: Graph-based Lexical Centrality as Salience in Text Summarization
Erkan, G.; and Radev, D. R. 2004 · 2004
Earlier work this paper cites.
Fact or Fiction: Verifying Scientific Claims
Wadden, D.; Lin, S.; Lo, K.; Wang, L. L.; Zuylen, M. V.; Cohan, A.; and Hajishirzi, H. 2020 · 2004
Earlier work this paper cites.
Text-to-Text Pre-Training for Data-to-Text Tasks
Kale, M. 2020 · 2005
Earlier work this paper cites.
Esteva, A.; Kale, A.; Paulus, R.; Hashimotoa, K.; Yin, W.; Radev, D.; and Socher, R. 2020 · 2006
Earlier work this paper cites.
Investigating Pretrained Language Models for Graph-to-Text Generation
Ribeiro, L. F. R.; Schmitt, M.; Schutze, H.; and Gurevych, I. 2020 · 2007
Earlier work this paper cites.
Position-aware Attention and Supervised Data Improve Slot Filling
Zhang, Y.; Zhong, V.; Chen, D.; Angeli, G.; and Manning, C. D. 2017 · 2009
Earlier work this paper cites.
A Neural Attention Model for Abstractive Sentence Summarization
Rush, A. M.; Chopra, S.; and Weston, J. 2015 · 2015
Earlier work this paper cites.
A Supervised Approach to Extractive Summarisation of Scientific Papers
Collins, E.; Augenstein, I.; and Riedel, S. 2017 · 2017
Earlier work this paper cites.
Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps
Falke, T.; and Gurevych, I. 2017 · 2017
Earlier work this paper cites.
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Nallapati, R.; Zhai, F.; and Zhou, B. 2017 · 2017
Earlier work this paper cites.
Abstractive Document Summarization with a Graph-Based Attentional Neural Model
Tan, J.; Wan, X.; and Xiao, J. 2017 · 2017
Cited alongside, same era.
Deep Communicating Agents for Abstractive Summarization
Celikyilmaz, A.; Bosselut, A.; He, X.; and Choi, Y. 2018 · 2018
Cited alongside, same era.
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
Cohan, A.; Dernoncourt, F.; Kim, D. S.; Bui, T.; Kim, S.; Chang, W.; and Goharian, N. 2018 · 2018
Cited alongside, same era.
Graph Summarization Methods and Applications: A Survey
Liu, Y.; Safavi, T.; Dighe, A.; and Koutra, D. 2018 · 2018
Cited alongside, same era.
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction
Luan, Y.; He, L.; Ostendorf, M.; and Hajishirzi, H. 2018 · 2018
Cited alongside, same era.
Ranking Sentences for Extractive Summarization with Reinforcement Learning
Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket
Safavi, T.; Belth, C.; Faber, L.; Mottin, D.; Muller, E.; and Koutra, D. 2019 · 2019
Later among the works it cites.
Entity, Relation, and Event Extraction with Contextualized Span Representations
Wadden, D.; Wennberg, U.; Luan, Y.; and Hajishirzi, H. 2019 · 2019
Later among the works it cites.
DocRED: A Large-Scale Document-Level Relation Extraction Dataset
Yao, Y.; Ye, D.; Li, P.; Han, X.; Lin, Y.; Liu, Z.; Liu, Z.; Huang, L.; Zhou, J.; and Sun, M. 2019 · 2019
Later among the works it cites.
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks
Yasunaga, M.; Kasai, J.; Zhang, R.; Fabbri, A. R.; Li, I.; Friedman, D.; and Radev, D. R. 2019 · 2019
Later among the works it cites.
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization
Durmus, E.; He, H.; and Diab, M. 2020 · 2020
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Narayan, S.; Cohen, S. B.; and Lapata, M. 2018 · 2018
Cited alongside, same era.
Supervised Open Information Extraction
Stanovsky, G.; Michael, J.; Zettlemoyer, L.; and Dagan, I. 2018 · 2018
Cited alongside, same era.
Graph Attention Networks
Veličković, P.; Cucurull, G.; Casanova, A.; Romero, A.; Liò, P.; and Bengio, Y. 2018 · 2018
Cited alongside, same era.
SciBERT: A Pretrained Language Model for Scientific Text
Beltagy, I.; Lo, K.; and Cohan, A. 2019 · 2019
Cited alongside, same era.
Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction
Hou, Y.; Jochim, C.; Gleize, M.; Bonin, F.; and Ganguly, D. 2019 · 2019
Cited alongside, same era.
Document-Level N-ary Relation Extraction with Multiscale Representation Learning
Jia, R.; Wong, C.; and Poon, H. 2019 · 2019
Cited alongside, same era.
Text summarization with pretrained encoders
Liu, Y.; and Lapata, M. 2019 · 2019
Cited alongside, same era.
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward
Huang, L.; Wu, L.; and Wang, L. 2020 · 2020
Closest in time.
SciREX: A Challenge Dataset for Document-Level Information Extraction
Jain, S.; Zuylen, M. V.; Hajishirzi, H.; and Beltagy, I. 2020 · 2020
Closest in time.
S2ORC: The Semantic Scholar Open Research Corpus
Lo, K.; Wang, L. L.; Neumann, M.; Kinney, R.; and Weld, D. S. 2020 · 2020
Closest in time.
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
Wang, A.; Cho, K.; and Lewis, M. 2020 · 2020
Closest in time.
Automatic Generation of Citation Texts in Scholarly Papers: A Pilot Study
Xing, X.; Fan, X.; and Wan, X. 2020 · 2020
Closest in time.
Discourse-Aware Neural Extractive Text Summarization
Xu, J.; Gan, Z.; Cheng, Y.; and Liu, J. 2020 · 2020
Closest in time.
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports
Zhang, Y.; Merck, D.; Tsai, E. B.; Manning, C. D.; and Langlotz, C. P. 2020 · 2020
Closest in time.