|Full Title:||Workshop on Deep Language Processing for Quality Applications|
|Short Title:||DeepLP4QApp 2014|
|Start Date:||26-Apr-2014 - 26-Apr-2014|
|Meeting Email:||click here to access email|
|Meeting Description:||Workshop on Deep Language Processing for Quality Applications
One-day workshop to be held together with EACL 2014 conference
Gothenburg, Sweden, 26 April 2014
In the last decade, research on language technology applications, such as machine translation (MT), information retrieval and extraction (also cross-linguistic), etc. has benefited from the significant advances obtained with the exploitation of increasingly sophisticated statistical approaches. To a large extent, this advancement has been achieved also by encompassing a host of subsidiary and increasingly more fine-grained linguistic distinctions at the syntactic and semantic levels.
Thus, the NLP mainstream has headed towards the modeling of multilayered linguistic knowledge. To leap forward in terms of the quality of its output, machine translation and other technologies are taking advantage of enhanced capacities for deeper analysis of natural language and massive open online world knowledge that are now becoming available.
In the long run, richer world knowledge will be available, even beyond the current Linked Open Data, with respect to larger datasets, richer semantics enhanced with world facts, and more dynamic conceptual knowledge representation. Concomitantly, the evolutive trend in Natural Language Processing shows a strong integration of the knowledge-poor language processing with the knowledge-rich one, supported by deep grammars and deep language resources.
This workshop joins forces of the former Advanced Treebanking community, as represented by the 2012 LREC Workshop on Advanced Treebanking, with the new stream of projects aimed at high quality applications, most prominently - Machine Translation.
|Linguistic Subfield:||Computational Linguistics|
| This is a session of the following meeting:
14th Conference of the European Chapter of the Association for Computational Linguistics
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