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1st Fig-Lang@NAACL-HLT 2018: New Orleans, Louisiana
- Beata Beigman Klebanov, Ekaterina Shutova, Patricia Lichtenstein, Smaranda Muresan, Chee Wee Leong:
Proceedings of the Workshop on Figurative Language Processing, Fig-Lang@NAACL-HLT 2018, New Orleans, Louisiana, 6 June 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-15-5 - Katy Ilonka Gero, Lydia B. Chilton:
Challenges in Finding Metaphorical Connections. 1-6 - Stephen Cameron Skalicky, Scott A. Crossley:
Linguistic Features of Sarcasm and Metaphor Production Quality. 7-16 - Kevin Stowe
, Martha Palmer:
Leveraging Syntactic Constructions for Metaphor Identification. 17-26 - Agnieszka Mykowiecka
, Malgorzata Marciniak, Aleksander Wawer
:
Literal, Metphorical or Both? Detecting Metaphoricity in Isolated Adjective-Noun Phrases. 27-33 - Michael Flor
, Beata Beigman Klebanov:
Catching Idiomatic Expressions in EFL Essays. 34-44 - Yuri Bizzoni, Shalom Lappin:
Predicting Human Metaphor Paraphrase Judgments with Deep Neural Networks. 45-55 - Chee Wee Leong, Beata Beigman Klebanov, Ekaterina Shutova:
A Report on the 2018 VUA Metaphor Detection Shared Task. 56-66 - Malay Pramanick, Ashim Gupta, Pabitra Mitra:
An LSTM-CRF Based Approach to Token-Level Metaphor Detection. 67-75 - Malay Pramanick, Pabitra Mitra:
Unsupervised Detection of Metaphorical Adjective-Noun Pairs. 76-80 - Omnia Zayed, John Philip McCrae, Paul Buitelaar:
Phrase-Level Metaphor Identification Using Distributed Representations of Word Meaning. 81-90 - Yuri Bizzoni, Mehdi Ghanimifard:
Bigrams and BiLSTMs Two Neural Networks for Sequential Metaphor Detection. 91-101 - Zachary Rosen:
Computationally Constructed Concepts: A Machine Learning Approach to Metaphor Interpretation Using Usage-Based Construction Grammatical Cues. 102-109 - Chuhan Wu, Fangzhao Wu, Yubo Chen, Sixing Wu, Zhigang Yuan, Yongfeng Huang:
Neural Metaphor Detecting with CNN-LSTM Model. 110-114 - Krishnkant Swarnkar, Anil Kumar Singh:
Di-LSTM Contrast : A Deep Neural Network for Metaphor Detection. 115-120 - Anna Mosolova, Ivan Bondarenko, Vadim Fomin:
Conditional Random Fields for Metaphor Detection. 121-123 - Agnieszka Mykowiecka
, Aleksander Wawer
, Malgorzata Marciniak:
Detecting Figurative Word Occurrences Using Recurrent Neural Networks. 124-127 - Filip Skurniak, Maria Janicka, Aleksander Wawer
:
Multi-Module Recurrent Neural Networks with Transfer Learning. 128-132 - Egon Stemle
, Alexander Onysko
:
Using Language Learner Data for Metaphor Detection. 133-138

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