Results 71 to 80 of about 2,861 (186)
A hybrid relational approach for WSD [PDF]
We present a novel hybrid approach for Word Sense Disambiguation (WSD) which makes use of a relational formalism to represent instances and background knowledge. It is built using Inductive Logic Programming techniques to combine evidence coming from both sources during the learning process, producing a rule-based WSD model.
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Information retrieval is the process of analysing typed query as well as to retrieve relevant document according to the user query. Several issues can significantly affect the effectiveness of information retrieval.
Hasan Abood Rehab, Tiun Sabrina
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Method for WordNet Enrichment Using WSD
This paper presents a new method to enrich semantically WordNet with categories from general domain classification systems. The method is performed in two consecutive steps. First, a lexical knowledge word sense disambiguation process. Second, a set of rules to select the main concepts as representatives for each category.
Andrés Montoyo +2 more
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Sense Unveiled: Enhancing Urdu Corpus for Nuanced Word Sense Disambiguation
Ambiguity in word meanings presents a significant challenge in natural language processing, necessitating robust techniques for Word Sense Disambiguation (WSD).
Sarfraz Bibi +2 more
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A Systematic Analysis of Various Word Sense Disambiguation Approaches
The process of finding the correct sense of a word in context is known as word sense disambiguation (WSD). In the field of natural language processing, WSD has become a growing research area.
Chandra Ganesh +3 more
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Enriching Semantic Knowledge for WSD
CHEN, Junpeng, YU, Wei
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