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GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
13 years 11 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
LREC
2010
246views Education» more  LREC 2010»
13 years 7 months ago
Q-WordNet: Extracting Polarity from WordNet Senses
This paper presents Q-WordNet, a lexical resource consisting of WordNet senses automatically annotated by positive and negative polarity. Polarity classification amounts to decide...
Rodrigo Agerri, Ana García-Serrano
NAACL
2010
13 years 4 months ago
Dialogue-Oriented Review Summary Generation for Spoken Dialogue Recommendation Systems
In this paper we present an opinion summarization technique in spoken dialogue systems. Opinion mining has been well studied for years, but very few have considered its applicatio...
Jingjing Liu, Stephanie Seneff, Victor Zue
KDD
2004
ACM
136views Data Mining» more  KDD 2004»
14 years 6 months ago
A cross-collection mixture model for comparative text mining
In this paper, we define and study a novel text mining problem, which we refer to as Comparative Text Mining (CTM). Given a set of comparable text collections, the task of compara...
ChengXiang Zhai, Atulya Velivelli, Bei Yu
ADMA
2008
Springer
240views Data Mining» more  ADMA 2008»
14 years 21 days ago
Automatic Web Tagging and Person Tagging Using Language Models
Abstract. Social bookmarking has become an important web2.0 application recently, which is concerned with the dual user behavior to search - tagging. Although social bookmarking we...
Qiaozhu Mei, Yi Zhang