LREC
2010
13 years 6 months ago
2010
This paper proposes the method to detect peculiar examples of the target word from a corpus. The peculiar example is regarded as an outlier in the given example set. Therefore we ...
LREC
2010
13 years 6 months ago
2010
In the framework of the preparation of linguistic web services for corpus processing, the need for a representation format was felt, which supports interoperability between differ...
LREC
2010
13 years 6 months ago
2010
This paper introduces a new corpus of consulting dialogues designed for training a dialogue manager that can handle consulting dialogues through spontaneous interactions from the ...
LREC
2010
13 years 6 months ago
2010
This paper describes our work on developing corpora of three varieties of Viennese for unit selection speech synthesis. The synthetic voices for Viennese varieties, implemented wi...
LREC
2010
13 years 6 months ago
2010
Collocations play a significant role in second language acquisition. In order to be able to offer efficient support to learners, an NLP-based CALL environment for learning colloca...
LREC
2010
13 years 6 months ago
2010
This paper gives guidelines of how to create and update Propbank frameset files using a dedicated editor, Cornerstone. Propbank is a corpus in which the arguments of each verb pre...
LREC
2010
13 years 6 months ago
2010
Ontology matching consists of generating a set of correspondences between the entities of two ontologies. This process is seen as a solution to data heterogeneity in ontology-base...
LREC
2010
13 years 6 months ago
2010
This study examines the relationship between two kinds of semantic spaces -- i.e., spaces based on term frequency (tf) and word cooccurrence frequency (co) -- and four semantic re...
LREC
2010
13 years 6 months ago
2010
Question answering systems are complex systems using natural language processing. Some evaluation campaigns are organized to evaluate such systems in order to propose a classifica...
LREC
2010
13 years 6 months ago
2010
Current state-of-the-art systems for automatic phonetic transcription (APT) are mostly phone recognizers based on Hidden Markov models (HMMs). We present a different approach for ...