Papers by Erik-Lân Do Dinh

3 papers
Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations (D18-1)

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Challenge: a lack of datasets distinguish between conventionalized and novel metaphors is limiting research . a novel metaphor is often overlooked or intentionally disregarded, authors say .
Approach: They propose a crowdsourced annotation layer for an existing metaphor corpus to investigate novelty . they investigate correlations between concreteness ratings and more semantic features .
Outcome: The proposed method combines novel metaphor annotations with concreteness ratings and semantic features.
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning (P19-1)

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Challenge: Inability to quantify key aspects of creative language is a frequent obstacle to natural language understanding.
Approach: They propose a Bayesian approach for predicting humorousness and metaphor novelty using Gaussian process preference learning (GPPL) .
Outcome: The proposed approach achieves a Spearman’s of 0.56 against gold using word embeddings and linguistic features.
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection (C18-1)

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Challenge: idioms and metaphors are often studied in isolation, challenging the distinction . e.g., metaphorical concept mappings are ubiquitous in everyday life, thus they are ubiquitous .
Approach: They propose to view the detection problem as a generalized non-literal language classification problem.
Outcome: The proposed model improves on four metaphor and idiom detection tasks in two languages, English and German.

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