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» Adaptive Learning in Machine Summarization
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COLING
2002
13 years 8 months ago
Extracting Important Sentences with Support Vector Machines
Extracting sentences that contain important information from a document is a form of text summarization. The technique is the key to the automatic generation of summaries similar ...
Tsutomu Hirao, Hideki Isozaki, Eisaku Maeda, Yuji ...
ML
2006
ACM
13 years 8 months ago
Adaptive game AI with dynamic scripting
Pieter Spronck, Marc J. V. Ponsen, Ida G. Sprinkhu...
ICTAI
2008
IEEE
14 years 2 months ago
Answering Complex Questions Using Query-Focused Summarization Technique
Unlike simple questions, complex questions cannot be answered by simply extracting named entities. These questions require inferencing and synthesizing information from multiple d...
Yllias Chali, Shafiq R. Joty
MLMI
2007
Springer
14 years 2 months ago
Term-Weighting for Summarization of Multi-party Spoken Dialogues
This paper explores the issue of term-weighting in the genre of spontaneous, multi-party spoken dialogues, with the intent of using such term-weights in the creation of extractive ...
Gabriel Murray, Steve Renals
ICALT
2006
IEEE
14 years 2 months ago
Composing Adaptive Learning Systems
Adaptive learning systems are recognized as one of the most interesting research topics in intelligent learning management systems. Taking as a point of departure the practices an...
Dirk Frosch-Wilke, Salvador Sánchez Alonso