Phrase-Level Metaphor Identification Using Distributed Representations of Word Meaning
Omnia Zayed,John P. McCrae,Paul Buitelaar +2 more
- 01 Jun 2018
- pp 81-90
TL;DR: This paper investigated the use of different word embeddings models to identify verb-noun pairs where the verb is used metaphorically and presented an approach based on distributional semantics to identify metaphors on the phrase-level.
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Abstract: Metaphor is an essential element of human cognition which is often used to express ideas and emotions that might be difficult to express using literal language. Processing metaphoric language is a challenging task for a wide range of applications ranging from text simplification to psychotherapy. Despite the variety of approaches that are trying to process metaphor, there is still a need for better models that mimic the human cognition while exploiting fewer resources. In this paper, we present an approach based on distributional semantics to identify metaphors on the phrase-level. We investigated the use of different word embeddings models to identify verb-noun pairs where the verb is used metaphorically. Several experiments are conducted to show the performance of the proposed approach on benchmark datasets.
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Citations
A survey on computational metaphor processing techniques: from identification, interpretation, generation to application
Mengshi Ge,Rui Mao,Erik Cambria +2 more
TL;DR: This article aims to comprehensively summarize and categorize previous computational metaphor processing approaches regarding metaphor identification, interpretation, generation, and application, and identify future directions for prospective researchers based on comparing the strengths and weaknesses of the previous works.
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Crowd-Sourcing A High-Quality Dataset for Metaphor Identification in Tweets
Omnia Zayed,John P. McCrae,Paul Buitelaar +2 more
- 01 Jan 2019
TL;DR: A crowd-sourcing approach for the creation of a dataset for metaphor identification, that is able to rapidly achieve large coverage over the different usages of metaphor in a given corpus while maintaining high accuracy, is presented.
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Contextual Modulation for Relation-Level Metaphor Identification
Omnia Zayed,John P. McCrae,Paul Buitelaar +2 more
- 01 Nov 2020
TL;DR: This article proposed a novel architecture for identifying relation-level metaphoric expressions of certain grammatical relations based on contextual modulation and achieved state-of-the-art results on benchmark datasets.
•Posted Content
Contextual Modulation for Relation-Level Metaphor Identification
TL;DR: This work introduces a novel architecture for identifying relation-level metaphoric expressions of certain grammatical relations based on contextual modulation based on conditioning the neural network computation on the deep contextualised features of the candidate expressions using feature-wise linear modulation.
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Metaphorical Polysemy Detection: Conventional Metaphor Meets Word Sense Disambiguation
Rowan Hall Maudslay,Simone Teufel +1 more
- 16 Dec 2022
TL;DR: In this article , a metaphor polysemy detection (MPD) model was proposed to detect conventional metaphors in the English WordNet, where metaphoricity is formulated as a property of a token in a sentence, regardless of metaphor type.
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References
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Tomas Mikolov,Ilya Sutskever,Kai Chen,Greg S. Corrado,Jeffrey Dean +4 more
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TL;DR: This paper presents a simple method for finding phrases in text, and shows that learning good vector representations for millions of phrases is possible and describes a simple alternative to the hierarchical softmax called negative sampling.
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Distributed Representations of Words and Phrases and their Compositionality
TL;DR: In this paper, the Skip-gram model is used to learn high-quality distributed vector representations that capture a large number of precise syntactic and semantic word relationships and improve both the quality of the vectors and the training speed.
Metaphors We Live by
TL;DR: Lakoff and Johnson as mentioned in this paper suggest that these basic metaphors not only affect the way we communicate ideas, but actually structure our perceptions and understandings from the beginning, and they offer an intriguing and surprising guide to some of the most common metaphors and what they can tell us about the human mind.
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Metaphors We Live By
George Lakoff,Mark Johnson +1 more
- 01 Jan 1980
TL;DR: Lakoff and Johnson as mentioned in this paper suggest that these basic metaphors not only affect the way we communicate ideas, but actually structure our perceptions and understandings from the beginning, and they offer an intriguing and surprising guide to some of the most common metaphors and what they can tell us about the human mind.
17.1K