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Meaning Representation (AMR) is a graph-based semantic representation for sentences, composed of collections of concepts linked by semantic relations.
Algorithms for Scoring Coreference Chains
Amit Bagga and Breck Baldwin. 1998 · 1998
Earlier work this paper cites.
LexRank: Graph-based Lexical Centrality as Salience in Text Summarization
Günes Erkan and Dragomir R. Radev. 2004 · 2004
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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METEOR: An automatic metric for MT evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
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On some pitfalls in automatic evaluation and significance testing for MT
Stefan Riezler and John T. Maxwell. 2005 · 2005
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Abstract Meaning Representation for sembanking
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Earlier work this paper cites.
Toward abstractive summarization using semantic representations
Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman Sadeh, and Noah A. Smith. 2015 · 2015
Earlier work this paper cites.
Which Coreference Evaluation Metric Do You Trust? A Proposal for a Link-based Entity Aware Metric
Nafise Sadat Moosavi and Michael Strube. 2016 · 2016
Earlier work this paper cites.
Abstractive text summarization using sequence-to-sequence RNNs and beyond
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Fast abstractive summarization with reinforce-selected sentence rewriting
Yen-Chun Chen and Mohit Bansal. 2018 · 2018
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Unsupervised semantic abstractive summarization
Shibhansh Dohare, Vivek Gupta, and Harish Karnick. 2018 · 2018
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Guided neural language generation for abstractive summarization using Abstract Meaning Representation
AMR beyond the sentence: the multi-sentence AMR corpus
Tim O’Gorman, Michael Regan, Kira Griffitt, Ulf Hermjakob, Kevin Knight, and Martha Palmer. 2018 · 2018
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Graph attention networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio. 2018 · 2018
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MoverScore: Text generation evaluating with contextualized embeddings and earth mover distance
Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, and Steffen Eger. 2019 · 2019
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Penman: An open-source library and tool for AMR graphs
Michael Wayne Goodman. 2020 · 2020
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SpanBERT: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy. 2020 · 2020
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Hardy and Andreas Vlachos. 2018 · 2018
Cited alongside, same era.
Abstract Meaning Representation for multi-document summarization
Kexin Liao, Logan Lebanoff, and Fei Liu. 2018 · 2018
Cited alongside, same era.
An AMR aligner tuned by transition-based parser
Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, and Ting Liu. 2018 · 2018
Cited alongside, same era.
Abstract meaning representation (AMR) annotation release 3.0
Kevin Knight, Bianca Badarau, Laura Baranescu, Claire Bonial, Madalina Bardocz, Kira Griffitt, Ulf Hermjakob, Daniel Marcu, Martha Palmer, Tim O’Gorman, and Nathan Schneider. 2020 · 2020
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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