We introduce a novel topic segmentation approach that combines evidence of topic shifts from lexical cohesion with linguistic evidence such as syntactically distinct features of segment initial contributions. Our evaluation demonstrates that this hybrid approach outperforms state-of-the-art algorithms even when applied to loosely structured, spontaneous dialogue.

News reports are an important source of information about society. Their analysis allows to understand its current interests and to measure the social importance and influence of different events. In this paper, we focus on the study of a very common phenomenon of news: the influence of the peak news topics on other current news topics. We propose a text mining method to analyze such influences...

In recent years, there has been a explosion in the amount of text data from a variety of sources. This volume of text is an invaluable source of information and knowledgewhich needs to be effectively summarized to be useful. In this review, the main approaches to automatic text summarization are described. We review the different processes for summarization and describe the effectiveness and sh...

The automatic systems which deal with term’s extractions constitute an important tool when they make reference to the labor of compilation of lexemes, which is restricted to a specific field or specialty. The textual analysis that are realized for this type of software must include strategies that could detect collocations in the field in which is done. In this topic is studied the viability of...

Musicians and recording engineers are often interested in manipulating and processing individual instrumental parts within an existing recording to create a remix of the recording. When individual source tracks for a stereo mixture are unavailable, remixing is typically difficult or impossible, since one cannot isolate the individual parts. We describe a method of informed source separation tha...

We provide a robust and detailed annotation scheme for information status, which is easy to use, follows a semantic rather than cognitive motivation, and achieves reasonable inter-annotator scores. Our annotation scheme is based on two main assumptions: firstly, that information status strongly depends on (in)definiteness, and secondly, that it ought to be understood as a property of referents ...

This paper describes a method of discriminating ambiguous names that relies upon features found in corpora of a more abundant language. In particular, we discriminate ambiguous names in Bulgarian, Romanian, and Spanish corpora using information derived from much larger quantities of English data. We also mix together occurrences of the ambiguous name found in English with the occurrences of the...

This paper presents a novel approach to the identification of phonetic similarity using properties observed during the speech recognition process. Experiments are presented whereby specific phones are removed during the training phase of a statistical speech recognition system so that the behaviour of the system can be analysed to see which alternative phone is selected. The domain of the analy...