39 search results - page 8 / 8 » Automatic Web Rating: Filtering Obscene Content on the Web |
AIRWEB
2008
Springer
13 years 11 months ago
2008
Springer
Online social media draws heavily on active reader participation, such as voting or rating of news stories, articles, or responses to a question. This user feedback is invaluable ...
ACL
2008
13 years 11 months ago
2008
We assess the current state of the art in speech summarization, by comparing a typical summarizer on two different domains: lecture data and the SWITCHBOARD corpus. Our results ca...
LREC
2008
13 years 10 months ago
2008
Detecting the tone or emotive content of a text message is increasingly important in many natural language processing applications. Examples of such applications are rating new bo...
WWW
2008
ACM
14 years 10 months ago
2008
ACM
In this paper we present a novel framework for extracting the ratable aspects of objects from online user reviews. Extracting such aspects is an important challenge in automatical...