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INFORMATICALT
2006
116views more  INFORMATICALT 2006»
13 years 8 months ago
Cache-based Statistical Language Models of English and Highly Inflected Lithuanian
This paper investigates a variety of statistical cache-based language models built upon three corpora: English, Lithuanian, and Lithuanian base forms. The impact of the cache size,...
Airenas Vaiciunas, Gailius Raskinis
JAIR
2006
137views more  JAIR 2006»
13 years 8 months ago
Learning Sentence-internal Temporal Relations
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Maria Lapata, Alex Lascarides
CORR
2000
Springer
126views Education» more  CORR 2000»
13 years 8 months ago
Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach
We investigate the performance of two machine learning algorithms in the context of antispam filtering. The increasing volume of unsolicited bulk e-mail (spam) has generated a nee...
Ion Androutsopoulos, Georgios Paliouras, Vangelis ...
TASLP
2002
99views more  TASLP 2002»
13 years 8 months ago
A system for spoken query information retrieval on mobile devices
Abstract--With the proliferation of handheld devices, information access on mobile devices is a topic of growing relevance. This paper presents a system that allows the user to sea...
E. Chang, Frank Seide, Helen M. Meng, Zhuoran Chen...
CIKM
2010
Springer
13 years 7 months ago
Fast query expansion using approximations of relevance models
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...