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ICDAR
2007
IEEE
15 years 10 months ago
WEB Image Classification Based on the Fusion of Image and Text Classifiers
This paper presents a novel method for the classification of images that combines information extracted from the images and contextual information. The main hypothesis is that con...
Pedro R. Kalva, Fabrício Enembreck, Alessan...
IAT
2008
IEEE
16 years 21 days ago
An Ontology-Based Approach to Text Summarization
Extractive text summarization aims to create a condensed version of one or more source documents by selecting the most informative sentences. Research in text summarization has th...
Leonhard Hennig, Winfried Umbrath, Robert Wetzker
CICLING
2004
Springer
15 years 10 months ago
Language-Independent Methods for Compiling Monolingual Lexical Data
Abstract: In this paper we describe a flexible, portable and languageindependent infrastructure for setting up large monolingual language corpora. The approach is based on collecti...
Christian Biemann, Stefan Bordag, Gerhard Heyer, U...
SIGIR
1995
ACM
15 years 9 months ago
A Trainable Document Summarizer
To summarize is to reducein complexity, and hencein length, while retaining some of the essential qualities of the original. This paper focusses on document extracts, a particular...
Julian Kupiec, Jan O. Pedersen, Francine Chen
AI
2002
Springer
15 years 6 months ago
QUANTUM: A Function-Based Question Answering System
Abstract In this paper, we describe our Question Answering (QA) system called QUANTUM. The goal of QUANTUM is to find the answer to a natural language question in a large document ...
Luc Plamondon, Leila Kosseim