Abstract Recent research in novelty detection focuses mainly on document-level classification, employing deep neural networks (DNN). However, the black-box nature of DNNs makes it difficult to extract an exact explanation why a document is considered novel. In addition, dealing with at word level crucial provide more fine-grained analysis than what available level. this work, we propose Tsetlin...

The present research addressed the prosodic realization of global and local text structure and content in the spoken discourse data produced by Persian EFL learners. Two newspaper articles were analyzed using Rhetorical Structure Theory. Based on these analyses, the global structure in terms of hierarchical level, the local structure in terms of the relative importance of text segments and the ...

In this paper we will present a system that is able to perform cooperative information retrieval actions over a text knowledge base. The knowledge base is composed by four levels: Interaction, Domain, Information Retrieval and Text. The interaction level is responsible for the dialogue management, including the inference of attitudes. The domain level is composed by rules encoding knowledge abo...

In this paper we will present a system that is able to perform cooperative information retrieval actions over a text knowledge base. The knowledge base is composed by four levels: Interaction, Domain, Information Retrieval and Text. The interaction level is responsible for the dialogue management, including the inference of attitudes. The domain level is composed by rules encoding knowledge abo...