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» Using Machine Learning and Text Mining in Question Answering
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TREC
2000
14 years 10 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
ICALT
2006
IEEE
15 years 3 months ago
Collaborative Questioning: A Case of Short Message Services (SMS) for Knowledge Sharing
Whenever a class is invited to ask questions, it is individual learners who ask and their questions do not often represent the questions of the whole class. The benefit to those p...
Dick Ng'ambi
EMNLP
2008
14 years 11 months ago
Selecting Sentences for Answering Complex Questions
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...
Yllias Chali, Shafiq R. Joty
DGO
2004
110views Education» more  DGO 2004»
14 years 10 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
97
Voted
ICML
2007
IEEE
15 years 10 months ago
Fast and effective kernels for relational learning from texts
In this paper, we define a family of syntactic kernels for automatic relational learning from pairs of natural language sentences. We provide an efficient computation of such mode...
Alessandro Moschitti, Fabio Massimo Zanzotto