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» Ranking Human and Machine Summarization Systems
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TREC
2004
13 years 11 months ago
Can We Get A Better Retrieval Function From Machine?
The quality of an information retrieval system heavily depends on its retrieval function, which returns a similarity measurement between the query and each document in the collect...
Weiguo Fan, Wensi Xi, Edward A. Fox, Li Wang
LREC
2010
174views Education» more  LREC 2010»
13 years 11 months ago
Model Summaries for Location-related Images
At present there is no publicly available data set to evaluate the performance of different summarization systems on the task of generating location-related extended image caption...
Ahmet Aker, Robert J. Gaizauskas
CICLING
2010
Springer
14 years 4 months ago
A Sequential Model for Discourse Segmentation
Identifying discourse relations in a text is essential for various tasks in Natural Language Processing, such as automatic text summarization, question-answering, and dialogue gene...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
EXPCS
2007
14 years 1 months ago
The user in experimental computer systems research
Experimental computer systems research typically ignores the end-user, modeling him, if at all, in overly simple ways. We argue that this (1) results in inadequate performance eva...
Peter A. Dinda, Gokhan Memik, Robert P. Dick, Bin ...
IUI
2003
ACM
14 years 3 months ago
Adapting to the user's internet search strategy on small devices
World Wide Web search engines typically return thousands of results to the users. To avoid users browsing through the whole list of results, search engines use ranking algorithms ...
Jean-David Ruvini