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Token-Level Metaphor Detection using Neural Networks
Erik-Lân Do Dinh
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Iryna Gurevych
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
Metaphor |
WS |
Citations
URL
Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection
Marek Rei
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Luana Bulat
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Douwe Kiela
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Ekaterina Shutova
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Using Automated Metaphor Identification to Aid in Detection and Prediction of First-Episode Schizophrenia
E. Darío Gutiérrez
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Guillermo Cecchi
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Cheryl Corcoran
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Philip Corlett
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Improving Verb Metaphor Detection by Propagating Abstractness to Words, Phrases and Individual Senses
Maximilian Köper
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Sabine Schulte im Walde
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A Report on the 2018 VUA Metaphor Detection Shared Task
Chee Wee (Ben) Leong
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Beata Beigman Klebanov
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Ekaterina Shutova
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An LSTM-CRF Based Approach to Token-Level Metaphor Detection
Malay Pramanick
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Ashim Gupta
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Pabitra Mitra
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Bigrams and BiLSTMs Two Neural Networks for Sequential Metaphor Detection
Yuri Bizzoni
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Mehdi Ghanimifard
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Di-LSTM Contrast : A Deep Neural Network for Metaphor Detection
Krishnkant Swarnkar
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Anil Kumar Singh
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Detecting Figurative Word Occurrences Using Recurrent Neural Networks
Agnieszka Mykowiecka
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Aleksander Wawer
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Malgorzata Marciniak
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Using Language Learner Data for Metaphor Detection
Egon Stemle
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Alexander Onysko
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Lexical Conceptual Structure of Literal and Metaphorical Spatial Language: A Case Study of “Push”
Bonnie Dorr
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Mari Olsen
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One Size Fits All? A simple LSTM for non-literal token and construction-level classification
Erik-Lân Do Dinh
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Steffen Eger
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Iryna Gurevych
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http://www.ukp.tu-darmstadt.de
https://code.google.com/p/word2vec/
http://arxiv.org/abs/1508.04515
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Named Entity Recognition
Machine Translation
Approach
Deep Learning
Language
Multilingual
English
Dataset
Scientific Literature
News
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