Identification and contextual semantic retrieval of polysemy words. It goes beyond previous studies by differentiating between homonymy and polysemy. Homonymy and polysemy in information retrieval request pdf. Homonymy and polysemy in information retrieval core. Homonymy and polysemy in information retrieval acl.
This paper discusses research on distin guishing word meanings in the context of information retrieval systems. 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. We conducted experiments with three sources of evidence for making these distinctions. In information retrieval these numbers are called the term weight,a function of the terms frequency in the document. We have focused on the distinction between homonymy and polysemy. Our results support the need to distinguish homonymy and polysemy. 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. The bark of a dog versus the bark of a tree is an example of homonymy. This paper discusses research on distinguishing word meanings in the context of information retrieval systems. Download citation differentiating homonymy and polysemy in information retrieval. Venkatesh b n, department of information science and engineering. For example, we think, we make decisions, plans and more in natural language. The final step was to measure the effects of attempting to resolve the additional ambiguity which had been added to the collection.
Lexical ambiguity can be divided into homonymy and polysemy, depending on whether or not the meanings are related. We have focused on the distinction between homonymy and polysemy unrelated vs. Natural language processing 1 language is a method of communication with the help of which we can speak, read and write. Synonym, homonym, hyponymy and polysemy springerlink. Citeseerx homonymy and polysemy in information retrieval.
Recent studies into web retrieval have shown that word sense disambiguation can increase retrieval effectiveness. It can be used to search for information or to decide whether to read a document. The distinction between homonymy and polysemy is central. Keyworddata mining, information extraction, metadata, polysemy.1229 708 293 816 286 895 820 410 558 660 925 22 258 633 1006 622 16 1018 127 1004 847 1434 156 866 143 1463 1190 810 1048 632 213 1088 1379 1148 532 607 851 1073 1118 941 512 1160 375 764 96 1034 926 12 1186 407