Word Sense Induction for Better Lexical Choice
نویسندگان
چکیده
منابع مشابه
Word Sense Induction for Better Lexical Choice
Most words in natural languages are polysemous in nature that is they have multiple possible meanings or senses. The sense in which the word is used determines the translation of the word. We show that incorporating a sense-based translation model into statistical machine translation model consistently improves translation quality across all different test sets of five different language-pairs,...
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Word Sense Induction is a task of automatically finding word senses from large scale texts. It is generally considered as an unsupervised clustering problem. This paper introduces a hypergraph model in which nodes represent instances of contexts where a target word occurs and hyperedges represent higher-order semantic relatedness among instances. A lexical chain based method is used for discove...
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Conventional word sense induction (WSI) methods usually represent each instance with discrete linguistic features or cooccurrence features, and train a model for each polysemous word individually. In this work, we propose to learn sense embeddings for the WSI task. In the training stage, our method induces several sense centroids (embedding) for each polysemous word. In the testing stage, our m...
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We apply topic modelling to automatically induce word senses of a target word, and demonstrate that our word sense induction method can be used to automatically detect words with emergent novel senses, as well as token occurrences of those senses. We start by exploring the utility of standard topic models for word sense induction (WSI), with a pre-determined number of topics (=senses). We next ...
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This paper investigates conceptually and empirically the novel sense matching task, which requires to recognize whether the senses of two synonymous words match in context. We suggest direct approaches to the problem, which avoid the intermediate step of explicit word sense disambiguation, and demonstrate their appealing advantages and stimulating potential for future research.
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ژورنال
عنوان ژورنال: Research in Computing Science
سال: 2015
ISSN: 1870-4069
DOI: 10.13053/rcs-90-1-3