Structural semantic interconnection: a knowledge-based approach to Word Sense Disambiguation
نویسندگان
چکیده
In this paper we describe the SSI algorithm, a structural pattern matching algorithm for WSD. The algorithm has been applied to the gloss disambiguation task of Senseval-3.
منابع مشابه
Online Word Sense Disambiguation with Structural Semantic Interconnections
In this paper we present an online implementation of a knowledge-based Word Sense Disambiguation algorithm called Structural Semantic Interconnections (SSI). We describe the system implementation and the user interface, and discuss the strengths and weaknesses of our approach.
متن کاملA knowledge-based approach to ontology learning and semantic annotation
The so-called Semantic Web vision will certainly benefit from automatic semantic annotation of words in documents. We present a method, called structural semantic interconnections (SSI), that creates structural specifications of the possible senses for each word in a context, and selects the best hypothesis according to a grammar G, describing relations between sense specifications. The method ...
متن کاملKnowledge Based Approaches to Nepali Word Sense Disambiguation
A word may have multiple senses and the challenge is to find out which particular sense is appropriate in a given context. Word sense disambiguation(WSD) resolves this ambiguity by finding out which particular sense of a word is appropriate in a given context. WSD is of critical importance in the areas of machine translation, information retrieval, speech processing etc. In this paper we presen...
متن کاملTowards Semantic Image Annotation With Keyword Disambiguation Using Semantic And Visual Knowledge
This paper deals with the semantic enrichment of automatic annotations of images. Since it partially tackles the Semantic Gap Problem, semantic image annotation has received a large attention in the recent years. Nevertheless, the results of existing image annotation approaches are still not sufficient. We propose an original approach combining a priori knowledge (in our case, the WordNet lexic...
متن کاملA Unified Knowledge Based Approach for Sense Disambiguation and Semantic Role Labeling
In this paper, we present a unified knowledge based approach for sense disambiguation and semantic role labeling. Our approach performs both tasks through a single algorithm that matches candidate semantic interpretations to background knowledge to select the best matching candidate. We evaluate our approach on a corpus of sentences collected from various domains and show how our approach perfo...
متن کامل