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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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3
Training and domain adaptation for supervised text segmentation
Glavaš, Goran; Ganesh, Ananya; Somasundaran, Swapna. - : Association for Computational Linguistics, 2021
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4
The Teacher-Student Chatroom Corpus ...
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5
Joint Modelling of Emotion and Abusive Language Detection ...
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6
Analyzing Neural Discourse Coherence Models ...
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7
Investigating the Effect of Auxiliary Objectives for the Automated Grading of Learner English Speech Transcriptions ...
Craighead, Hannah; Caines, Andrew; Buttery, Paula. - : Apollo - University of Cambridge Repository, 2020
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Investigating the Effect of Auxiliary Objectives for the Automated Grading of Learner English Speech Transcriptions
Yannakoudakis, Helen; Craighead, Hannah; Caines, Andrew. - : 58TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2020), 2020
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9
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification. ...
Mu, Jesse; Yannakoudakis, Helen; Shutova, Ekaterina. - : Apollo - University of Cambridge Repository, 2019
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10
Abusive Language Detection with Graph Convolutional Networks ...
Mishra, Pushkar; Del Tredici, Marco; Yannakoudakis, Helen. - : Apollo - University of Cambridge Repository, 2019
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11
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification ...
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12
Abusive Language Detection with Graph Convolutional Networks ...
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13
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods ...
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14
Author Profiling for Hate Speech Detection ...
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15
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification.
Mu, Jesse; Yannakoudakis, Helen; Shutova, Ekaterina. - : In Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics., 2019
Abstract: Most current approaches to metaphor identi-fication use restricted linguistic contexts, e.g.by considering only a verb’s arguments or the sentence containing a phrase.Inspired by pragmatic accounts of metaphor, we argue that broader discourse features are crucial for bet-ter metaphor identification. We train simple gradient boosting classifiers on representations of an utterance and its surrounding discourse learned with a variety of document embedding methods, obtaining near state-of-the-art results on the 2018 VU Amsterdam metaphor iden-tification task without the complex metaphor-specific features or deep neural architectures employed by other systems.A qualitative analysis further confirms the need for broader context in metaphor processing.
URL: https://www.repository.cam.ac.uk/handle/1810/297030
https://doi.org/10.17863/CAM.44088
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16
Abusive Language Detection with Graph Convolutional Networks
Mishra, Pushkar; Del Tredici, Marco; Yannakoudakis, Helen. - : Association for Computational Linguistics, 2019. : Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
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17
Multi-Task Learning for Coherence Modeling.
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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18
Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input
Farag, Youmna; Yannakoudakis, Helen; Briscoe, Edward. - : Association for Computational Linguistics, 2018. : https://dblp.org/rec/conf/naacl/FaragYB18, 2018. : Proceedings of NAACL-HLT 2018, New Orleans, Louisiana, pages 263–271, 2018
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19
Auxiliary Objectives for Neural Error Detection Models ...
Rei, Marek; Yannakoudakis, Helen. - : Apollo - University of Cambridge Repository, 2017
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20
Neural Sequence-Labelling Models for Grammatical Error Correction ...
Yannakoudakis, Helen; Rei, Marek; Andersen, Oeistein. - : Apollo - University of Cambridge Repository, 2017
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