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The 13th Workshop on Multiword Expressions

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When :  2017-04-13

Where :  Valencia, Spain

Submission Deadline :  2017-01-22

Categories :   NLP ,  Machine Learning      

The 13th Workshop on Multiword Expressions (MWE 2017)

April 13, 2017

Valencia, Spain

Scope

In natural languages, there are many ways to express complex human thoughts and ideas. This can be achieved by exploiting compositionality, i.e. concatenating simplex elements of language and thus yielding a more complex meaning that can be computed from the meaning of the original parts and the way they are combined. However, non-compositional phrases are also very frequent in any human language. These complex phrases can often be decomposed into single meaningful units, but the meaning of the whole phrase cannot (or can only partially) be computed from the meaning of its parts. Such phrases are often called multiword expressions (MWEs) and display lexical, syntactic, semantic, pragmatic and/or statistical idiosyncrasies (Baldwin & Kim 2010). In addition to idiomatic constructions, MWEs encompass closely related linguistic constructs such as light verb constructions, rhetorical figures and institutionalized phrases or collocations (Sag et al. 2002). MWEs pose problems for linguistic processing, especially in language learning and natural language processing (NLP), for instance, in machine translation, syntactic and semantic parsing, just to name a few applications.

The topics of interest include, but are not limited to, the following:

  • Manually and automatically constructed lexical resources
  • MWE representation in lexical resources
  • MWE annotation in corpora and treebanks
  • MWEs in non-standard language (e.g. tweets, forums, spontaneous speech)
  • Original MWE discovery methods (e.g. using word embeddings, parallel corpora)
  • Original MWE in-context identification methods (e.g. using deep learning, topic models)
  • MWE processing in syntactic frameworks (e.g. HPSG, LFG, TAG, universal dependencies)
  • MWE processing in semantic frameworks (e.g. WSD, semantic parsing)
  • MWE processing in end-user applications (e.g. summarization, machine translation)
  • Orchestration of MWE processing with respect to applications
  • Evaluation of MWE processing techniques
  • Models of first and second language acquisition of MWEs
  • Theoretical and psycholinguistic studies on MWEs
  • Crosslinguistic studies on MWEs

Important Dates:

  • Paper submission: January 22, 2017
  • Author notification: February 11, 2017
  • Camera-ready version: February 20, 2017

User Name : Claude
Posted 11-01-2017 on 09:02:21 AEDT


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