| Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing | 0 | 0.34 | 2022 |
| Modeling Users and Online Communities for Abuse Detection - A Position on Ethics and Explainability. | 0 | 0.34 | 2021 |
| The Hateful Memes Challenge - Competition Report. | 0 | 0.34 | 2021 |
| Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation | 0 | 0.34 | 2020 |
| Modelling Form-Meaning Systematicity with Linguistic and Visual Features. | 0 | 0.34 | 2020 |
| Author Profiling for Hate Speech Detection. | 0 | 0.34 | 2019 |
| Abusive Language Detection with Graph Convolutional Networks. | 0 | 0.34 | 2019 |
| Learning Outside the Box: Discourse-level Features Improve Metaphor Identification. | 0 | 0.34 | 2019 |
| Metaphor: A Computational Perspective Tony Veale, Ekaterina Shutova, and Beata Beigman Klebanov (University College Dublin, University of Cambridge, Educational Testing Service)Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 31), 2016, xi+148 pp; paperback, ISBN 9781627058506, $55.00; ebook, ISBN 9781627058513; doi: 10.2200/S00694ED1V01Y201601HLT031. | 0 | 0.34 | 2018 |
| Author Profiling for Abuse Detection. | 0 | 0.34 | 2018 |
| Neural Character-based Composition Models for Abuse Detection. | 1 | 0.35 | 2018 |
| A Report on the 2018 VUA Metaphor Detection Shared Task. | 1 | 0.38 | 2018 |
| Modelling metaphor with attribute-based semantics. | 3 | 0.40 | 2017 |
| Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain. | 1 | 0.34 | 2017 |
| Multilingual Metaphor Processing: Experiments with Semi-Supervised and Unsupervised Learning. | 5 | 0.49 | 2017 |
| Semantic Frames and Visual Scenes: Learning Semantic Role Inventories from Image and Video Descriptions. | 1 | 0.34 | 2017 |
| Modelling semantic acquisition in second language learning. | 1 | 0.38 | 2017 |
| Metaphor congruent image schemas shape evaluative judgment: a cross-linguistic study of metaphors for economic change. | 0 | 0.34 | 2017 |
| Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection. | 2 | 0.39 | 2017 |
| Literal And Metaphorical Senses In Compositional Distributional Semantic Models | 5 | 0.44 | 2016 |
| Detecting Cross-cultural Differences Using a Multilingual Topic Model. | 5 | 0.50 | 2016 |
| Psychologically Motivated Text Mining. | 0 | 0.34 | 2016 |
| Metaphor as a Medium for Emotion: An Empirical Study. | 4 | 0.44 | 2016 |
| Cross-Lingual Lexico-Semantic Transfer In Language Learning | 0 | 0.34 | 2016 |
| Black Holes and White Rabbits: Metaphor Identification with Visual Features. | 6 | 0.41 | 2016 |
| Semantic Classifications For Detection Of Verb Metaphors | 1 | 0.41 | 2016 |
| Perceptually Grounded Selectional Preferences | 3 | 0.38 | 2015 |
| Design and Evaluation of Metaphor Processing Systems | 9 | 0.73 | 2015 |
| SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in Twitter | 38 | 1.61 | 2015 |
| Conceptual metaphor theory meets the data: a corpus-based human annotation study | 3 | 0.40 | 2013 |
| Metaphor Identification as Interpretation | 3 | 0.44 | 2013 |
| Statistical metaphor processing | 12 | 0.96 | 2013 |
| Unsupervised Metaphor Identification Using Hierarchical Graph Factorization Clustering. | 9 | 0.65 | 2013 |
| A computational model of logical metonymy | 2 | 0.37 | 2013 |
| Linguistic properties of multi-word passphrases | 15 | 0.74 | 2012 |
| Unsupervised Metaphor Paraphrasing using a Vector Space Model. | 10 | 0.64 | 2012 |
| Metaphor identification using verb and noun clustering | 19 | 1.17 | 2010 |
| Models of Metaphor in NLP | 19 | 1.09 | 2010 |
| Automatic metaphor interpretation as a paraphrasing task | 22 | 1.01 | 2010 |
| Metaphor Corpus Annotated for Source - Target Domain Mappings | 24 | 1.21 | 2010 |
| Sense-based interpretation of logical metonymy using a statistical method | 4 | 0.43 | 2009 |
