One of the first steps in building a spoken language understanding (SLU) module for
dialogue systems is the extraction of flat concepts out of a given word sequence, usually …

Conventional speech recognition systems are based on Gaussian hidden Markov models
(HMMs). Discriminative techniques such as log-linear modeling have been investigated in …

The paper introduces the Multimodal Russian Corpus (MURCO), which has been created in
the framework of the Russian National Corpus (RNC). The MURCO provides the users with …

In the past two decades there have been several projects on Spoken Language
Understanding (SLU). In the early nineties DARPA ATIS project aimed at providing a natural …

In this paper, we present improvements of our state-of-the-art concept tagger based on
conditional random fields. Statistical models have been optimized for three tasks of varying …

Typical training criteria for string recognition like for example minimum phone error (MPE)
and maximum mutual information (MMI) in speech recognition are based on a (regularized) …

After a brief overview of voice portal technology, with special attention paid to Polish, we
discuss some aspects of user-centered design and its influence on usability of the proposed …

This paper describes a Large-Vocabulary Continuous Speech Recognition (LVCSR) system
for the transcription of television and radio broadcast audio in Polish. This work is one of the …

In this paper, we present state-of-the art concept tagging results on a new corpus for Polish
SLU. For this language, it is the first large-scale corpus (~ 200 different concepts) which has …

In this paper we present a corpus of Polish spoken dialogues annotated on several levels,
from transcription of dialogues and their morphosyntactic analysis, to semantic annotation …