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SIGIR
2004
ACM
14 years 2 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
TOPLAS
2008
79views more  TOPLAS 2008»
13 years 7 months ago
Witnessing side effects
We present a new approach to the old problem of adding side effects to purely functional languages. Our idea is to extend the language with "witnesses," which is based o...
Tachio Terauchi, Alex Aiken
MM
2004
ACM
114views Multimedia» more  MM 2004»
14 years 2 months ago
ChucK: a programming language for on-the-fly, real-time audio synthesis and multimedia
In this paper, we describe ChucK – a programming language and programming model for writing precisely timed, concurrent audio synthesis and multimedia programs. Precise concurre...
Ge Wang, Perry R. Cook
SIGIR
2005
ACM
14 years 2 months ago
Integrating word relationships into language models
In this paper, we propose a novel dependency language modeling approach for information retrieval. The approach extends the existing language modeling approach by relaxing the ind...
Guihong Cao, Jian-Yun Nie, Jing Bai
ICML
2004
IEEE
14 years 9 months ago
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung