# Dictionaries merger for text expansion in question answering

Source: [Dictionaries merger for text expansion in question answering](<https://www.sota2.com/research/paper/68fa5fa61e209131ce9eb7ea>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-27T05:46:11.133Z

Authors: Bernard Jacquemin

Published: 2005-06-12T16:36:47.000Z

## Abstract

This paper presents an original way to add new data in a reference dictionary from several other lexical resources, without loosing any consistence. This operation is carried in order to get lexical information classified by the sense of the entry. This classification makes it possible to enrich utterances (in QA: the queries) following the meaning, and to reduce noise. An analysis of the experienced problems shows the interest of this method, and insists on the points that have to be tackled.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/cs/0506046>)

[PDF](<https://arxiv.org/pdf/cs/0506046.pdf>)