UofL: Word Sense Disambiguation Using Lexical Cohesion
نویسندگان
چکیده
One of the main challenges in the applications (i.e.: text summarization, question answering, information retrieval, etc.) of Natural Language Processing is to determine which of the several senses of a word is used in a given context. The problem is phrased as “Word Sense Disambiguation (WSD)” in the NLP community. This paper presents the dictionary based disambiguation technique that adopts the assumption of one sense per discourse in the context of SemEval-2007 Task 7: “Coarse-grained English all-words”.
منابع مشابه
Word Sense Disambiguation Using Lexical Cohesion in the Context
This paper designs a novel lexical hub to disambiguate word sense, using both syntagmatic and paradigmatic relations of words. It only employs the semantic network of WordNet to calculate word similarity, and the Edinburgh Association Thesaurus (EAT) to transform contextual space for computing syntagmatic and other domain relations with the target word. Without any back-off policy the result on...
متن کاملWord Sense Disambiguation and Text Segmentation Based on Lexical Cohesion
In this paper, we describe ihow word sense am= biguity can be resolw'.d with the aid of lexical eo-hesion. By checking ]exical coheshm between the current word and lexical chains in the order of the salience, in tandem with getmration of lexica] chains~ we realize incretnental word sense disam biguation based on contextual infl)rmation that lexical chains,reveah Next;, we <le~<:ribe how set men...
متن کاملCombining Lexical and Syntactic Features for Supervised Word Sense Disambiguation
The success of supervised learning approaches to word sense disambiguation is largely dependent on the features used to represent the context in which an ambiguous word occurs. Previous work has reached mixed conclusions; some suggest that combinations of syntactic and lexical features will perform most effectively. However, others have shown that simple lexical features perform well on their o...
متن کاملWord Sense Subjectivity for Cross-lingual Lexical Substitution
We explore the relation between word sense subjectivity and cross-lingual lexical substitution, following the intuition that good substitutions will transfer a word’s (contextual) sentiment from the source language into the target language. Experiments on English-Chinese lexical substitution show that taking a word’s subjectivity into account can indeed improve performance. We also show that ju...
متن کاملUsing Relevant Domains Resource for Word Sense Disambiguation
This paper presents a new method for Word Sense Disambiguation based on the WordNet Domains lexical resource [4]. The underlaying working hypothesis is that domain labels, such as ARCHITECTURE, SPORT and MEDICINE provide a natural way to establish semantic relations between word senses, that can be used during the disambiguation process. This resource has already been used on Word Sense Disambi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007