Presented is an algorithm for automatic production of a video abstract of a feature film, similar to a movie trailer. It selects clips from the original movie based on detection of special events like dialogs, shots, explosions and text occurrences, and on general action indicators applied to scenes. These clips are then assembled to form a video trailer using a model of editing. Additional cli...

In this paper, we describe ontology-based text categorization in which the domain ontologies are automatically acquired through morphological rules and statistical methods. The ontology-based approach is a promising way for general information retrieval applications such as knowledge management or knowledge discovery. As a way to evaluate the quality of domain ontologies, we test our method thr...

This study explores the possibility of replacing the costly and time-consuming human evaluation of the grammaticality and meaning preservation of the output of text simplification (TS) systems with some automatic measures. The focus is on six widely used machine translation (MT) evaluation metrics and their correlation with human judgements of grammaticality and meaning preservation in text sni...

The paper illustrates the system WITH (Write on Internet clinical Trials in Haematology) which supports the writing of a clinical trial (CT) document. The requirements of this system have been defined analysing the writing process of a CT and then modelling the content of its sections together with their logical and temporal relationships. The system WITH allows: a) editing the document text; b...

In the journal publishing world, there involves various text processing tasks such as copyediting or revision. Modern text processing technologies, and in particular the kinds of techniques developed in natural language processing and language technology, make it possible to automate some of these editing and revision tasks that are currently performed by authors and editors. However, it is dif...

Two themes have evolved in speech and text image processing work at Xerox PARC that expand and redefine the role of recognition technology in d~ument-oriented appficafions. One is the development of systems that provide functionality similar to that of text processors but operate directly on audio and scanned image data. A second, related theme is the use of speech and text-nnage recognition to...

Presented is an algorithm for automatic production of a video abstract of a feature film, similar to a movie trailer. It selects clips from the original movie based on detection of special events like dialogs, shots, explosions and text occurrences, and on general action indicators applied to scenes. These clips are then assembled to form a video trailer using a model of editing. Additional cli...

We propose a method of synonymous paraphrasing of a text based on WordNet synonymy data and Internet statistics of stable word combinations (collocations). Given a text, we look for words or expressions in it for which WordNet provides synonyms, and substitute them with such synonyms only if the latter form valid collocations with the surrounding words according to the statistics gathered from ...

Text information, which plays important role in news video concept detection, has been ignored in state-of-the-art movie analysis technology. It is so because movie subtitles are speech of roles which do not directly describe content of movie and contributes little to movie analysis. In this paper, we import collaborative-editing synopsis from professional movie sites for movie analysis, which ...

This paper summarizes ITC-irst participation in the PASCAL challenge on Recognizing Textual Entailment (RTE). Given a pair of texts (the text and the hypothesis), the core of the approach we present is a tree edit distance algorithm applied on the dependency trees of both the text and the hypothesis. If the distance (i.e. the cost of the editing operations) among the two trees is below a certai...