In this paper, we present a fast and scalable Bayesian model for improving weakly annotated data – which is typically generated by a (semi) automated information extraction (IE) ...
Our goal is to use the vast repositories of available open source code to generate specific functions or classes that meet a user’s specifications. The key words here are spec...
The paper presents a study on large-scale automatic extraction of acronyms and associated expansions from Web data and from the user interactions with this data through Web search...
Open source intelligence analysts routinely use the web as a source of information related to their specific taskings. Effective information gathering on the web, despite the prog...
This paper describes Armil, a meta-search engine that groups the web snippets returned by auxiliary search engines into disjoint labeled clusters. The cluster labels generated by A...
Filippo Geraci, Marco Pellegrini, Marco Maggini, F...