Homonymy and polysemy in information retrieval pdf

Identification and contextual semantic retrieval of polysemy words. The final step was to measure the effects of attempting to resolve the additional ambiguity which had been added to the collection. In order to do this, the author simulated disambiguation to varying degrees of accuracy and measured the impact that this had on retrieval effectiveness. Venkatesh b n, department of information science and engineering. For example, we think, we make decisions, plans and more in natural language. We conducted experiments with three sources of evidence for making these distinctions. Differentiating homonymy and polysemy in information retrieval. Results show that retrieval is more sensitive to polysemy than homonymy and that, when resolving polysemy, accuracy as low as 55% can potentially lead to increased performance.

This paper discusses research on distin guishing word meanings in the context of information retrieval systems. Homonymy and polysemy in information retrieval acl. We have focused on the distinction between homonymy and polysemy. Recent studies into web retrieval have shown that word sense disambiguation can increase retrieval effectiveness. Lexical ambiguity can be divided into homonymy and polysemy, depending on whether or not the meanings are related. Our results support the need to distinguish homonymy and polysemy. Keyworddata mining, information extraction, metadata, polysemy. We have focused on the distinction between homonymy and polysemy unrelated vs. Homonymy and polysemy in information retrieval core. Request pdf homonymy and polysemy in information retrieval this paper discusses research on distinguishing word meanings in the context of information. For instance, information retrieval tools must contend with obstacles such as polysemy, which refers to words with multiple meanings, and synonymy, which is used to describe multiple words with. Homonymy and polysemy in information retrieval request pdf.

Homonymy and polysemy in information retrieval proceedings of. The distinction between homonymy and polysemy is central. Differentiating homonymy and polysemy in information. This paper discusses research on distinguishing word meanings in the context of information retrieval systems. It goes beyond previous studies by differentiating between homonymy and polysemy. Citeseerx homonymy and polysemy in information retrieval. In information retrieval these numbers are called the term weight,a function of the terms frequency in the document. Download citation differentiating homonymy and polysemy in information retrieval. Synonym, homonym, hyponymy and polysemy springerlink. It can be used to search for information or to decide whether to read a document. More generally, the termdocument matrix x has v rows one for each word. Information extraction using metadata andsolving polysemy problems. Request pdf homonymy and polysemy in information retrieval this paper discusses research on distinguishing word meanings in the context of information retrieval systems. The bark of a dog versus the bark of a tree is an example of homonymy.