Multi Sentence Compression (MSC) is of great value to many real world applications, such as guided microblog summarization, opinion summarization and newswire summarization. Recently, word graph-based approaches have been proposed and become popular in MSC. Their key assumption is that redundancy among a set of related sentences provides a reliable way to generate informative and grammatical se...

In this paper, we attempt to solve the Spoken Term Detection (STD) problem for under-resourced languages by a phone recognition approach within the Automatic Speech Recognition (ASR) paradigm, with multilingual acoustic models from six languages (Albanian, Czech, English, Hungarian, Romanian and Russian). The Power Normalized Cepstral Coefficients (PNCC) features are used for improved robustnes...

Large financial institutions such as Bank of America handle hundreds of thousands of wire transactions per day. Although most transactions are legitimate, these institutions have legal and financial obligations in discovering those that are suspicious. With the methods of fraudulent activities ever changing, searching on predefined patterns is often insufficient in detecting previously undiscov...

This paper reports the latest performance of components and features of a project named CorpusCentered Computation (C'3), which targets a translation technology suitable for spoken language translation. C3 places corpora at the center of the technology. Translation knowledge is extracted from corpora by both EBMT and SMT methods, translation quality is gauged by referring to corpora, the best t...

We present a novel representation, evaluation measure, and supervised models for the task of identifying the multiword expressions (MWEs) in a sentence, resulting in a lexical semantic segmentation. Our approach generalizes a standard chunking representation to encode MWEs containing gaps, thereby enabling efficient sequence tagging algorithms for featurerich discriminative models. Experiments ...

Two approaches to QbE (Query-by-Example) retrieving system, proposed by the Technical University of Košice (TUKE) for the query by example search on speech task (QUESST), are presented in this paper. Our main interest was focused on building such QbE system, which is able to retrieve all given queries with and without using any external speech resources. Therefore we developed posteriorgram-bas...

In this paper, we describe the “Query by Example Search on Speech Task” (QUESST), held as part of the MediaEval 2015 evaluation campaign. As in previous years, the proposed task requires performing language-independent audio search in a low resource scenario. This year, the task has been designed to get as close as possible to a practical use case scenario, in which a user would like to retriev...

As part of the MediaEval 2013 benchmark evaluation campaign, the objective of the Spoken Web Search (SWS) task was to perform Query-by-Example Spoken Term Detection (QbESTD) using audio queries in a low-resource setting. After two successful editions and a continuously growing interest in the scientific community, a special effort was made in SWS 2013 to prepare a challenging database, includin...

The identification and extraction of Multiword Expressions (MWEs) currently deliver satisfactory results. However, the integration of these results into a wider application remains an issue. This is mainly due to the fact that the association measures (AMs) used to detect MWEs require a critical amount of data and that the MWE dictionaries cannot account for all the lexical and syntactic variat...