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In this work, we test the performance of two bidirectional transformer-based language models, BERT and SpanBERT, on predicting directionality in causal pairs in the textual content.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019 · 1909
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2019 · 1910
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Deep domain models for discourse analysis
Leo Joskowicz, T Ksiezyck, and Ralph Grishman. 1989 · 1989
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Knowledge-based acquisition of causal relationships in text
Randy M Kaplan and Genevieve Berry-Rogghe. 1991 · 1991
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Coatis, an nlp system to locate expressions of actions connected by causality links
Daniela Garcia et al. 1997 · 1997
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Automatic extraction of cause-effect information from newspaper text without knowledge-based inferencing
Christopher SG Khoo, Jaklin Kornfilt, Robert N Oddy, and Sung Hyon Myaeng. 1998 · 1998
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Automatic detection of causal relations for question answering
Roxana Girju. 2003 · 2003
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Causal relation extraction using cue phrase and lexical pair probabilities
Du-Seong Chang and Key-Sun Choi. 2004 · 2004
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Incremental cue phrase learning and bootstrapping method for causality extraction using cue phrase and word pair probabilities
Du-Seong Chang and Key-Sun Choi. 2006 · 2006
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Ledir: An unsupervised algorithm for learning directionality of inference rules
Rahul Bhagat, Patrick Pantel, and Eduard Hovy. 2007 · 2007
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SemEval-2007 task 04: Classification of semantic relations between nominals
Roxana Girju, Preslav Nakov, Vivi Nastase, Stan Szpakowicz, Peter Turney, and Deniz Yuret. 2007 · 2007
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Building a corpus of temporal-causal structure
Steven Bethard, William J Corvey, Sara Klingenstein, and James H Martin. 2008 · 2008
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Causal relation extraction
Eduardo Blanco, Nuria Castell, and Dan I Moldovan. 2008 · 2008
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Understanding causal coherence relations , volume 172
Gerben Mulder. 2008 · 2008
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The penn discourse treebank 2.0
Rashmi Prasad, Nikhil Dinesh, Alan Lee, Eleni Miltsakaki, Livio Robaldo, Aravind Joshi, and Bonnie Webber. 2008 · 2008
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Semeval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals
Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid O Séaghdha, Sebastian Padó, Marco Pennacchiotti, Lorenza Romano, and Stan Szpakowicz. 2010 · 2010
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Data Structures for Statistical Computing in Python
Wes McKinney. 2010 · 2010
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Minimally supervised event causality identification
Quang Xuan Do, Yee Seng Chan, and Dan Roth. 2011 · 2011
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Establishing causal coherence across sentences: An erp study
Gina R Kuperberg, Martin Paczynski, and Tali Ditman. 2011 · 2011
The BECauSE corpus 2.0: Annotating causality and overlapping relations
Jesse Dunietz, Lori Levin, and Jaime Carbonell. 2017 · 2017
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Crowdsourcing storylines: Harnessing the crowd for causal relation annotation
Tomasso Caselli and Oana Inel. 2018 · 2018
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Automatic extraction of causal relations from text using linguistically informed deep neural networks
Tirthankar Dasgupta, Rupsa Saha, Lipika Dey, and Abir Naskar. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Deepcx: A transition-based approach for shallow semantic parsing with complex constructional triggers
Jesse Dunietz, Jaime G Carbonell, and Lori Levin. 2018 · 2018
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Choice of plausible alternatives: An evaluation of commonsense causal reasoning
Melissa Roemmele, Cosmin Adrian Bejan, and Andrew S Gordon. 2011 · 2011
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Excitatory or inhibitory: A new semantic orientation extracts contradiction and causality from the web
Chikara Hashimoto, Kentaro Torisawa, Stijn De Saeger, Jong-Hoon Oh, and Jun’ichi Kazama. 2012 · 2012
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Annotating causality in the tempeval-3 corpus
Paramita Mirza, Rachele Sprugnoli, Sara Tonelli, and Manuela Speranza. 2014 · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014
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Identifying causal relations using parallel Wikipedia articles
Christopher Hidey and Kathy McKeown. 2016 · 2016
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Commonsense causal reasoning between short texts
Zhiyi Luo, Yuchen Sha, Kenny Q Zhu, Seung-won Hwang, and Zhongyuan Wang. 2016 · 2016
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Modeling document-level causal structures for event causal relation identification
Lei Gao, Prafulla Kumar Choubey, and Ruihong Huang. 2019a · 2019
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Modeling document-level causal structures for event causal relation identification
Lei Gao, Prafulla Kumar Choubey, and Ruihong Huang. 2019b · 2019
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Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts
Pengfei Li and Kezhi Mao. 2019 · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al. 2019 · 2019
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Detecting causal language use in science findings
Bei Yu, Yingya Li, and Jun Wang. 2019 · 2019
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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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Knowledge enhanced event causality identification with mention masking generalizations
Jian Liu, Yubo Chen, and Jun Zhao. 2020 · 2020
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GLUCOSE: GeneraLized and COntextualized story explanations
Nasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, David Buchanan, Lauren Berkowitz, Or Biran, and Jennifer Chu-Carroll. 2020 · 2020
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