Exploring Metaphorical Senses and Word Representations for Identifying Metonyms
A metonym is a word with a figurative meaning, similar to a metaphor. Because metonyms are closely related to metaphors, we apply features that are used successfully for metaphor recognition to the task of detecting metonyms. On the ACL SemEval 2007 Task 8 data with gold standard metonym annotations, our system achieved 86.45% accuracy on the location metonyms. Our code can be found on GitHub.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Metaphorical Polysemy Detection: Conventional Metaphor meets Word Sense Disambiguation
Linguists distinguish between novel and conventional metaphor, a distinction which the metaphor detection task in NLP does not take into account. Instead, metaphoricity is formulated as a property of a token in a sentenc…
SentenceWord Sense DisambiguationDistributed representation of multi-sense words: A loss-driven approach
Word2Vec's Skip Gram model is the current state-of-the-art approach for estimating the distributed representation of words. However, it assumes a single vector per word, which is not well-suited for representing words th…
Word SimilarityHow to Avoid Sentences Spelling Boring? Towards a Neural Approach to Unsupervised Metaphor Generation
Metaphor generation attempts to replicate human creativity with language, which is an attractive but challengeable text generation task. Previous efforts mainly focus on template-based or rule-based methods and result in…
Language ModelingLanguage ModellingText Generation