Finding Structure in Figurative Language: Metaphor Detection with Topic-based Frames
In this paper, we present a novel and highly effective method for induction and application of metaphor frame templates as a step toward detecting metaphor in extended discourse. We infer implicit facets of a given metaphor frame using a semi-supervised bootstrapping approach on an unlabeled corpus. Our model applies this frame facet information to metaphor detection, and achieves the state-of-the-art performance on a social media dataset when building upon other proven features in a nonlinear machine learning model. In addition, we illustrate the mechanism through which the frame and topic information enable the more accurate metaphor detection.
Code (0)
등록된 구현이 없습니다.
Tasks
BIG-bench Machine LearningMachine TranslationSimilar Papers 제목 키워드 기반
MetFuse: Figurative Fusion between Metonymy and Metaphor
Metonymy and metaphor often co-occur in natural language, yet computational work has studied them largely in isolation. We introduce a framework that transforms a literal sentence into three figurative variants: metonymi…
An LSTM-CRF Based Approach to Token-Level Metaphor Detection
Automatic processing of figurative languages is gaining popularity in NLP community for their ubiquitous nature and increasing volume. In this era of web 2.0, automatic analysis of sarcasm and metaphors is important for …
Machine TranslationConditional Random Fields for Metaphor Detection
We present an algorithm for detecting metaphor in sentences which was used in Shared Task on Metaphor Detection by First Workshop on Figurative Language Processing. The algorithm is based on different features and Condit…
Word EmbeddingsChallenges in Finding Metaphorical Connections
Poetry is known for its novel expression using figurative language. We introduce a writing task that contains the essential challenges of generating meaningful figurative language and can be evaluated. We investigate how…
A Report on the 2018 VUA Metaphor Detection Shared Task
As the community working on computational approaches to figurative language is growing and as methods and data become increasingly diverse, it is important to create widely shared empirical knowledge of the level of syst…
Benchmarking