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» Cost-Sensitive Learning in Answer Extraction
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DGO
2004
110views Education» more  DGO 2004»
15 years 1 months ago
Question Answering Performance on Table Data
Question answering (QA) on table data is a challenging information retrieval task. This paper describes a QA system for tables created with both machine learning and heuristic tab...
Xing Wei, W. Bruce Croft, David Pinto
TREC
2000
15 years 1 months ago
The PISAB Question Answering System
The PISAB Question Answering system is based on a combination of Information Extraction and Information Retrieval techniques. Knowledge extracted from documents is modeled as a se...
Giuseppe Attardi, Cristian Burrini
IJCNN
2000
IEEE
15 years 4 months ago
Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions
Linear Relational Embedding (LRE) was introduced (Paccanaro and Hinton, 1999) as a means of extracting a distributed representation of concepts from relational data. The original ...
Alberto Paccanaro, Geoffrey E. Hinton
DEXAW
2007
IEEE
138views Database» more  DEXAW 2007»
15 years 6 months ago
Machine Learning for Question Answering from Tabular Data
Question Answering (QA) systems automatically answer natural language questions in a human-like manner. One of the practical approaches to open domain QA consists in extracting fa...
Mahboob Alam Khalid, Valentin Jijkoun, Maarten de ...
AIPRF
2008
15 years 1 months ago
Spam Sender Detection with Classification Modeling on Highly Imbalanced Mail Server Behavior Data
Unsolicited commercial or bulk emails or emails containing viruses pose a great threat to the utility of email communications. A recent solution for filtering is reputation systems...
Yuchun Tang, Sven Krasser, Dmitri Alperovitch, Pau...