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This paper describes a method of classifying semantically similar nouns. The approach is based on the "distributional hypothesis". Our approach is characterized by distinguishing among senses of the same word …...

The three corpus-based statistical sense resolution methods studied here attempt to infer the correct sense of a polyse- mous word by using knowledge about patterns of word co- occurrences. The …...

Since polysemy has multiple but related senses, finding any coherent system would seem impossible. But its senses are not random. When we look at inferences among them, it becomes clear …...

We analyze the results of a semantic an- notation task performed by novice taggers as part of the WordNet SemCor project (Landes et al., in press). Each polysemous content word …...

In this paper we specifically address questions of polysemy with respect to verbs, and how regular extensions of meaning can be achieved through the adjunction of particular syntactic phrases. We …...

In this paper we specifically address questions of polysemy with respect to verbs, and how regular extensions of meaning can be achieved through the adjunction of particular syntactic phrases. We …...

Metonymy and metaphor reflect an important part of the way people ordinarily conceptualize of themselves, events, and everyday world [1]. We will argue for this position via the lexicalization process …...

The issues in polysemy with respect to the verbs in WordNet will be discussed in this paper. The hypernymy/hyponymy structure of the multiple senses is observed when we try to …...

This paper assesses the role of multi-label classification in modelling polysemy for lan- guage acquisition tasks. We focus on the ac- quisition of semantic classes for Catalan ad- jectives, and …...

. Although researches have been conducted on the polysemous nature of some Korean psych-adjectives, no consensus has been made on the criteria used for evaluating the polysemy. Furthermore, few formalizations …...

Clustering is a central technique in NLP. Consequently, clustering evaluation is of great importance. Many clustering algo- rithms are evaluated by their success in tagging corpus tokens. In this paper …...

Discovering significant types of relations from the web is challenging because of its open nature. Unsupervised algorithms are developed to extract relations from a cor- pus without knowing the relations …...

Unlike its English equivalent after, which often takes NP complement, Chinese temporal connective hou tends to take VP complement. In terms of type coercion, while after seems to generally license …...

Given a parallel corpus, if two distinct words in language A, a1 and a2, are aligned to the same word b1 in language B, then this might signal that b1 …...

This paper brings up an important issue, polysemy problems, in a Chinese to Taiwanese TTS (text-to-speech) system. Polysemy means there are words with more than one meaning or pronunciation, such …...

AbstractThis paper addresses vector space models of prepositions, a notoriously ambiguous word class. We propose a rank-based distance measure to explore the vector-spatial properties of the ambiguous objects, focusing on …...

AbstractTwo challenging issues are notable in tweet clustering. Firstly, the sparse data problem is serious since no tweet can be longer than 140 characters. Secondly, synonymy and polysemy are rather …...

AbstractThis paper presents the design and results of a crowdsourcing experiment on the recognition of Italian event nominals. The aim of the experiment was to assess the feasibility of crowdsourcing …...

Recent work has shown success in learning word embeddings with neural network language models (NNLM). However, the majority of previous NNLMs represent each word with a single embedding, which fails …...

Word Sense Disambiguation has been stuck for many years. In this paper we explore the use of large-scale crowdsourcing to cluster senses that are often confused by non-expert annotators. We …...

Understanding how words change their meanings over time is key to models of language and cultural evolution, but his- torical data on meaning is scarce, mak- ing theories hard to …...

AbstractRecent work for learning word representations has applied successfully to many NLP applications, such as sentiment analysis and question answering. However, most of these models assume a single vector per …...

AbstractThe morphological status of affixes in Chinese has long been a matter of debate. How one might apply the conventional criteria of free/bound and content/function features to distinguish word-forming affixes …...

AbstractSince word embeddings have been the most popular input for many NLP tasks, evaluating their quality is critical. Most research efforts are focusing on English word embeddings. This paper addresses …...

AbstractWords can have multiple senses. Compositional distributional models of meaning have been argued to deal well with finer shades of meaning variation known as polysemy, but are not so well …...

AbstractWe describe a parser of English effectuated by biologically plausible neurons and synapses, and implemented through the Assembly Calculus, a recently proposed computational framework for cognitive function. We demonstrate that …...

AbstractOur discourses are full of potential lexical ambiguities, due in part to the pervasive use of words having multiple senses. Sometimes, one word may even be used in more than …...

AbstractThis article revisits statistical relationships across Romance cognates between lexical semantic shift and six intra-linguistic variables, such as frequency and polysemy. Cognates are words that are derived from a common …...

AbstractLanguages are continuously undergoing changes, and the mechanisms that underlie these changes are still a matter of debate. In this work, we approach language evolution through the lens of causality …...