In professional environments which are characterized by a domain (Medicine, Law, etc.), information retrieval systems must be able to process precise queries, mostly because of the...
Active learning is well-suited to many problems in natural language processing, where unlabeled data may be abundant but annotation is slow and expensive. This paper aims to shed ...
There are two issues that are challenging in the life-cycle of Digital Talking Books (DTB): the automatic labeling of text formatting meta-data in documents and the multimodal repr...
: Within software development, wikis are currently mainly used for brainstorming and documentation purposes or error management and project coordination. This article describes fou...
In this paper, we present a learning framework for the semantic annotation of text documents that can be used as textual cases in case-based reasoning applications. The annotation...