Context-Relevant Term Search :mag_right:

Context-Relevant Term Search :mag_right:

- 1 min

Summary

This was a research project done during the course of CS4501, Information Retrieval in Fall of 2017 with Eric McCord Snook. The purpose of this research was to develop a system for retrieving context-relavant definitions of a term given the context.

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Example use case of the context-relevant term search

Research

The developed system was able to perform significnatly, in that the proper definition was listed within the first two in average. The Jelinek-Mercer smoothed language model was used as the main system, and others like Apache OpenNPL library’s Part of Speech tagging to increase the accuracy of the system. The detailed research paper can be found on the bottom of the page.

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Graph showing performance of the system

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Table showing performance of the system

Research Paper

The Downloadable pdf contains more detail on the research

Daniel Choi

Daniel Choi

A developer who loves coffee

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