We propose an approach to Natural Language Processing exploiting knowledge domain in an e-commerce scenario. Based on such modeling an NLP parser is presented, aimed at translating...
Stefano Coppi, Tommaso Di Noia, Eugenio Di Sciasci...
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...
Program debugging is one of the most time-consuming parts of the software development cycle. In recent years, automatic debugging has been an active research area in software engi...
In this paper we present a learning based method for vessel segmentation in angiographic videos. Vessel Segmentation is an important task in medical imaging and has been investiga...
The pipeline of most Phrase-Based Statistical Machine Translation (PB-SMT) systems starts from automatically word aligned parallel corpus. But word appears to be too fine-grained ...