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The Causal News Corpus: Annotating Causal Relations in Event Sentences from News ...
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Tan, Fiona Anting; Hürriyetoğlu, Ali; Caselli, Tommaso; Oostdijk, Nelleke; Nomoto, Tadashi; Hettiarachchi, Hansi; Ameer, Iqra; Uca, Onur; Liza, Farhana Ferdousi; Hu, Tiancheng. - : arXiv, 2022
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Abstract:
Despite the importance of understanding causality, corpora addressing causal relations are limited. There is a discrepancy between existing annotation guidelines of event causality and conventional causality corpora that focus more on linguistics. Many guidelines restrict themselves to include only explicit relations or clause-based arguments. Therefore, we propose an annotation schema for event causality that addresses these concerns. We annotated 3,559 event sentences from protest event news with labels on whether it contains causal relations or not. Our corpus is known as the Causal News Corpus (CNC). A neural network built upon a state-of-the-art pre-trained language model performed well with 81.20% F1 score on test set, and 83.46% in 5-folds cross-validation. CNC is transferable across two external corpora: CausalTimeBank (CTB) and Penn Discourse Treebank (PDTB). Leveraging each of these external datasets for training, we achieved up to approximately 64% F1 on the CNC test set without additional ... : Accepted to LREC 2022 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2204.11714
https://arxiv.org/abs/2204.11714
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COVCOR20 at WNUT-2020 Task 2: An Attempt to Combine Deep Learning and Expert rules ...
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Handbook Twitter for Research, 2015 / 2016
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In: https://hal.archives-ouvertes.fr/hal-01257444 ; France. EMLYON Press, 2016, 978-1523263394. ⟨10.5281/zenodo.44882⟩ (2016)
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Turn-taking in social talk dialogues : temporal, formal and functional aspects
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In: Proceedings of the 9th International Conference Speech and Computer (SPECOM'2004), p. 454-461. (2004)
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MPI für Psycholinguistik
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Durational aspects of turn-taking in spontaneous face-to-face and telephone dialogues
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In: Proceedings of the 7th International Conference TSD (Text, Speech and Dialogue) / ed. by P. Sojka, I. Kopecek and K. Pala, p. 563-570. (2004)
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MPI für Psycholinguistik
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