A Structured Representation Of Word-Senses For Semantic Analysis
نویسندگان
چکیده
A framework for a structured representation of semantic knowledge (e.g. word-senses) has been defined at the IBM Scientific Center of Roma, as part of a project on Italian Text Understanding. This representation, based on the conceptual graphs formalism [SOW84], expresses deep knowledge (pragmatic) on word-senses. The knowledge base data structure is such as to provide easy access by the semantic verification algorithm. This paper discusses some important problem related to the definition of a semantic knowledge base, as depth versus generality, hierarchical ordering of concept types, etc., and describes the solutions adopted within the text understanding project.
منابع مشابه
Semantics of haq in the Glorious Quran
Meaning plays a very important role at all levels of linguistic analysis and in linguistics. We can say that the word itself and out of the chain of speech doesn’t show the true meaning. It should be in relation with other signs within the language that its meaning be relived. Quran, the precious word of Allah, contains words that take a variety of meanings in the syntactic and topical con...
متن کاملWord Type Effects on L2 Word Retrieval and Learning: Homonym versus Synonym Vocabulary Instruction
The purpose of this study was twofold: (a) to assess the retention of two word types (synonyms and homonyms) in the short term memory, and (b) to investigate the effect of these word types on word learning by asking learners to learn their Persian meanings. A total of 73 Iranian language learners studying English translation participated in the study. For the first purpose, 36 freshmen from an ...
متن کاملA Joint Semantic Vector Representation Model for Text Clustering and Classification
Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, their shortcoming in capturing semantic concepts of text motivated researches to use...
متن کاملA Unified Multilingual Semantic Representation of Concepts
Semantic representation lies at the core of several applications in Natural Language Processing. However, most existing semantic representation techniques cannot be used effectively for the representation of individual word senses. We put forward a novel multilingual concept representation, called MUFFIN, which not only enables accurate representation of word senses in different languages, but ...
متن کاملDeep Semantic Analysis of Text
We describe a graphical logical form as a semantic representation for text understanding. This representation was designed to bridge the gap between highly expressive “deep” representations of logical forms and more shallow semantic encodings such as word senses and semantic relations. We also present an evaluation metric for the representation and report on the current performance on the TRIPS...
متن کامل