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Multilingual and cross-lingual document classification: A meta-learning approach ...
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Zero-shot Sequence Labeling for Transformer-based Sentence Classifiers ...
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Training and domain adaptation for supervised text segmentation
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Joint Modelling of Emotion and Abusive Language Detection ...
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Investigating the Effect of Auxiliary Objectives for the Automated Grading of Learner English Speech Transcriptions ...
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Investigating the Effect of Auxiliary Objectives for the Automated Grading of Learner English Speech Transcriptions
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Learning Outside the Box: Discourse-level Features Improve Metaphor Identification. ...
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Abusive Language Detection with Graph Convolutional Networks ...
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Abstract:
Abuse on the Internet represents a significant societal problem of our time. Previous re-search on automated abusive language detec-tion in Twitter has shown that community-based profiling of users is a promising tech-nique for this task.However, existing ap-proaches only capture shallow properties of online communities by modeling follower–following relationships. In contrast, working with graph convolutional networks (GCNs), we present the first approach that captures not only the structure of online communities but also the linguistic behavior of the users within them. We show that such a heteroge-neous graph-structured modeling of communi-ties significantly advances the current state of the art in abusive language detection. ...
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URL: https://dx.doi.org/10.17863/cam.44089 https://www.repository.cam.ac.uk/handle/1810/297031
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Learning Outside the Box: Discourse-level Features Improve Metaphor Identification ...
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Abusive Language Detection with Graph Convolutional Networks ...
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Tackling Online Abuse: A Survey of Automated Abuse Detection Methods ...
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Learning Outside the Box: Discourse-level Features Improve Metaphor Identification.
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Abusive Language Detection with Graph Convolutional Networks
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Multi-Task Learning for Coherence Modeling.
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Farag, Youmna; Yannakoudakis, Helen. - : ACL, 2019. : https://www.aclweb.org/anthology/P19-4000, 2019. : In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics., 2019
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Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input
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Neural Sequence-Labelling Models for Grammatical Error Correction ...
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