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Argument summarisation is a promising but currently under-explored field.
Extractive snippet generation for arguments
Milad Alshomary, Nick Düsterhus, and Henning Wachsmuth. 2020 · 1972
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The pagerank citation ranking: Bringing order to the web
Lawrence Page, Sergey Brin, Rajeev Motwani, and Terry Winograd. 1999 · 1999
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The earth mover’s distance as a metric for image retrieval
Yossi Rubner, Carlo Tomasi, and Leonidas J Guibas. 2000 · 2000
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Supervised clustering - algorithms and benefits
Christoph F. Eick, Nidal M. Zeidat, and Zhenghong Zhao. 2004 · 2004
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Textrank: Bringing order into text
Rada Mihalcea and Paul Tarau. 2004 · 2004
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Answering the call for a standard reliability measure for coding data
Andrew F Hayes and Klaus Krippendorff. 2007 · 2007
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
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From word embeddings to document distances
Matt J. Kusner, Yu Sun, Nicholas I. Kolkin, and Kilian Q. Weinberger. 2015 · 2015
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Summarising the points made in online political debates
Charlie Egan, Advaith Siddharthan, and Adam Z. Wyner. 2016 · 2016
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Measuring the similarity of sentential arguments in dialogue
Amita Misra, Brian Ecker, and Marilyn A. Walker. 2016 · 2016
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hdbscan: Hierarchical density based clustering
Leland McInnes, John Healy, and Steve Astels. 2017 · 2017
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User’s guide to correlation coefficients
Haldun Akoglu. 2018 · 2018
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UMAP: uniform manifold approximation and projection for dimension reduction
Leland McInnes and John Healy. 2018 · 2018
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Overcoming the curse of dimensionality when clustering multivariate volume data
Vladimir Molchanov and Lars Linsen. 2018 · 2018
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Systematic review of clustering high-dimensional and large datasets
Divya Pandove, Shivani Goel, and Rinkle Rani. 2018 · 2018
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Modeling frames in argumentation
Yamen Ajjour, Milad Alshomary, Henning Wachsmuth, and Benno Stein. 2019 · 2019
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Sentence mover’s similarity: Automatic evaluation for multi-sentence texts
Elizabeth Clark, Asli Celikyilmaz, and Noah A. Smith. 2019 · 2019
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Language models are unsupervised multitask learners
News editorials: Towards summarizing long argumentative texts
Shahbaz Syed, Roxanne El Baff, Johannes Kiesel, Khalid Al Khatib, Benno Stein, and Martin Potthast. 2020 · 2020
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Key point analysis via contrastive learning and extractive argument summarization
Milad Alshomary, Timon Gurcke, Shahbaz Syed, Philipp Heinisch, Maximilian Spliethöver, Philipp Cimiano, Martin Potthast, and Henning Wachsmuth. 2021 · 2021
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Every bite is an experience: Key point analysis of business reviews
Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, and Noam Slonim. 2021 · 2021
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Overview of the 2021 key point analysis shared task
Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, and Noam Slonim. 2021 · 2021
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Team enigma at argmining-emnlp 2021: Leveraging pre-trained language models for key point matching
Manav Nitin Kapadnis, Sohan Patnaik, Siba Smarak Panigrahi, Varun Madhavan, and Abhilash Nandy. 2021 · 2021
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Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Classification and clustering of arguments with contextualized word embeddings
Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, and Iryna Gurevych. 2019 · 2019
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Automatic argument quality assessment - new datasets and methods
Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, and Noam Slonim. 2019 · 2019
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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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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
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COMET: A neural framework for MT evaluation
Ricardo Rei, Craig Stewart, Ana C. Farinha, and Alon Lavie. 2020 · 2020
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Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2021 · 2021
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Generating datasets with pretrained language models
Timo Schick and Hinrich Schütze. 2021 · 2021
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Generating informative conclusions for argumentative texts
Shahbaz Syed, Khalid Al Khatib, Milad Alshomary, Henning Wachsmuth, and Martin Potthast. 2021 · 2021
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More: A metric learning based framework for open-domain relation extraction
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Bartscore: Evaluating generated text as text generation
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Supporting clustering with contrastive learning
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Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei. 2022 · 2022
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Bertopic: Neural topic modeling with a class-based TF-IDF procedure
Maarten Grootendorst. 2022 · 2022
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