Advances in Information Retrieval

Abstract

Abstract. This paper presents a series of analyses and experiments on spoken document retrieval systems: search engines that retrieve transcripts produced by speech recognizers. Results show that transcripts that match queries well tend to be recognized more accurately than transcripts that match a query less well. This result was described in past literature, however, no study or explanation of the effect has been provided until now. This paper provides such an analysis showing a relationship between word error rate and query length. The paper expands on past research by increasing the number of recognitions systems that are tested as well as showing the effect in an operational speech retrieval system. Potential future lines of enquiry are also described.

CTSS: A Tool for Efficient Information Extraction with Soft Matching Rules for Text Mining

“…Bag of words is the traditional method used for extracting information like sentiment (Casey Whitelaw, Navendu Garg and Shlomo Argamon) [11] , Library books categorization [32] , topic ontology [7] , Feature Generation for Text Categorization Using World Knowledge [22] .…”