Automatic WordNet Mapping Using Word Sense Disambiguation
نویسنده
چکیده
This paper presents the automatic construction of a Korean WordNet from pre-existing lexical resources. A set of automatic WSD techniques is described for linking Korean words collected from a bilingual MRD to English WordNet synsets. We will show how individual linking provided by each WSD method is then combined to produce a Korean WordNet for nouns.
منابع مشابه
Automatic Construction of Persian ICT WordNet using Princeton WordNet
WordNet is a large lexical database of English language, in which, nouns, verbs, adjectives, and adverbs are grouped into sets of cognitive synonyms (synsets). Each synset expresses a distinct concept. Synsets are interlinked by both semantic and lexical relations. WordNet is essentially used for word sense disambiguation, information retrieval, and text translation. In this paper, we propose s...
متن کاملReducing the Granularity of a Computational Lexicon via an Automatic Mapping to a Coarse-Grained Sense Inventory
WordNet is the reference sense inventory of most of the current Word Sense Disambiguation systems. Unfortunately, it encodes too fine-grained distinctions, making it difficult even for humans to solve the ambiguity of words in context. In this paper, we present a method for reducing the granularity of the WordNet sense inventory based on the mapping to a manually crafted dictionary encoding sen...
متن کاملIntegrating WordNet and FrameNet using a Knowledge-based Word Sense Disambiguation Algorithm
This paper presents a novel automatic approach to partially integrate FrameNet and WordNet. In that way we expect to extend FrameNet coverage, to enrich WordNet with frame semantic information and possibly to extend FrameNet to languages other than English. The method uses a knowledge-based Word Sense Disambiguation algorithm for linking FrameNet lexical units to WordNet synsets. Specifically, ...
متن کاملAutomatically Linking GermaNet to Wikipedia for Harvesting Corpus Examples for GermaNet Senses
The comprehension of a word sense is much easier when its usages are illustrated by example sentences in linguistic contexts. Hence, examples are crucially important to better understand the sense of a word in a dictionary. The goal of this research is the semi-automatic enrichment of senses from the German wordnet GermaNet with corpus examples from the online encyclopedia Wikipedia. The paper ...
متن کاملAutomatic WSD: Does it Make Sense of Estonian?
This paper describes a fully automatic Estonian word sense disambiguation system called semyhe which is based on Estonian WordNet (EstWN) hyponymjhypernym hierarchies and meant to disambiguate both nouns and verbs. 1 Short description of the system The main inspiration for our system is Agirre and Rigau (1996) similar system that disambiguates the English noun senses based on WordNet hyponymjhy...
متن کامل