This paper describes a novel application of text categorization for mathematical word problems, namely Multiplicative Compare and Equal Group problems. The empirical results and a...
Suleyman Cetintas, Luo Si, Yan Ping Xin, Dake Zhan...
In part of speech tagging by Hidden Markov Model, a statistical model is used to assign grammatical categories to words in a text. Early work in the field relied on a corpus which...
This paper demonstrates that the dependability of generic, evolving J2EE applications can be enhanced through a combination of a few recovery-oriented techniques. Our goal is to r...
George Candea, Emre Kiciman, Steve Zhang, Pedram K...
This paper describes a hybrid tagger/parser for French (FrAG), and presents results from ongoing development work, corpus annotation and evaluation. The core of the system is a se...
Noun extraction is very important for many NLP applications such as information retrieval, automatic text classification, and information extraction. Most of the previous Korean ...