LREC
2008
14 years 27 days ago
2008
This paper presents a new corpus project, aiming at building a national corpus of Polish. What makes it different from a typical YACP (Yet Another Corpus Project) is 1) the fact t...
LREC
2008
14 years 27 days ago
2008
Large-scale grammar-based parsing systems nowadays increasingly rely on independently developed, more specialized components for pre-processing their input. However, different too...
LREC
2008
14 years 27 days ago
2008
We present the procedures we implemented to carry out system oriented evaluation of a syntax-based word aligner --ALIBI. We take the approach of regarding cross-corpus evaluation ...
LREC
2008
14 years 27 days ago
2008
The majority of work described in this paper was conducted as part of the Recovering Evidence from Video by fusing Video Evidence Thesaurus and Video MetaData (REVEAL) project, sp...
LREC
2008
14 years 27 days ago
2008
Speaker identification and verification systems have a poor performance when model training is done in one language while the testing is done in another. This situation is not unu...
LREC
2008
14 years 27 days ago
2008
Patients require access to Electronic Patient Records, however medical language is often too difficult for patients to understand. Explaining records to patients is a time consumi...
LREC
2008
14 years 27 days ago
2008
The Arabic Treebank (ATB), released by the Linguistic Data Consortium, contains multiple annotation files for each source file, due in part to the role of diacritic inclusion in t...
LREC
2008
14 years 27 days ago
2008
In this paper, we define the task of Number Identification in natural context. We present and validate a language-independent semiautomatic approach to quickly building a gold sta...
LREC
2008
14 years 27 days ago
2008
Despite of the importance of lexical resources for a number of NLP applications (Machine Translation, Information Extraction, Event Detection and Tracking, Question Answering, amo...
LREC
2008
14 years 27 days ago
2008
We present work on a three-stage system to detect and classify disfluencies in multi party dialogues. The system consists of a regular expression based module and two machine lear...