27.3468, Calls: Computational Linguistics/Japan

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LINGUIST List: Vol-27-3468. Thu Sep 01 2016. ISSN: 1069 - 4875.

Subject: 27.3468, Calls: Computational Linguistics/Japan

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Date: Thu, 01 Sep 2016 14:37:58
From: Dominique Brunato [cl4lc.ws at gmail.com]
Subject: 1st Workshop on Computational Linguistics for Linguistic Complexity

 
Full Title: 1st Workshop on Computational Linguistics for Linguistic Complexity 
Short Title: CL4LC 

Date: 11-Dec-2016 - 11-Dec-2016
Location: Osaka, Japan 
Contact Person: Dominique Brunato
Meeting Email: cl4lc.ws at gmail.com
Web Site: https://sites.google.com/site/cl4lc2016/home 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 25-Sep-2016 

Meeting Description:

CL4LC aims at investigating ''processing'' aspects of linguistic complexity
both from a machine point of view and from the perspective of the human
subject to promote a common reflection on approaches for the detection,
evaluation and modelling of linguistic complexity.

The objective of the workshop is to promote a common reflection on approaches
for the detection, evaluation and modeling of linguistic complexity, with a
particular emphasis on  research questions such as:

- Whether, and to what extent, a machine and human subject perspective can be
combined or share commonalities
- Whether, and to what extent, linguistic complexity metrics specific for the
human subject perspective can be extended for handling complexity for machine
and vice versa
- Whether, and to what extent, linguistic phenomena hampering human processing
correlate with difficulties in the automatic processing of language


2nd Call for Papers:

We encourage the submission of long and short research papers including, but
not limited to the following topics:

I. Detection and Measurement of Linguistic Complexity:

- Methods to measure and modeling human comprehension difficulty, in terms of
Dependency Locality and Surprisal frameworks
- Methods to measure complexity in linguistic systems with respect to
different linguistic dimensions (e.g. morphology, syntax)
- Methods to measure the distance between texts and learners' competences,
according to their literacy skills, native language or language impairments
- Methods and models to measure text quality, in terms e.g. of grammaticality,
style, accessibility, readability
- Methods to measure the distance between training corpora and texts in
machine learning perspective
- Approaches to compute the processing perplexity of machine learning systems

II. Processing of Linguistic Complexity:

- Models of human language acquisition in specific linguistic environments,
e.g. atypical language acquisition scenarios, Second Language Acquisition
(SLA), learning of domain specific sub-languages
- Methods to reduce linguistic complexity for improving human understanding,
e.g. text simplification and normalization to improve human comprehension
- Methods to reduce linguistic complexity for improving machine processing,
e.g. text simplification for machine translation, word reordering to improve
semantic and syntactic parsing
- Experimental approaches to CL4LC: experimental platforms and designs,
experimental methods, resources
- Automatic processing of non-canonical languages and cross-lingual model
transfer approaches

III. NLP tools and resources for CL4LC

IV. Vision papers discussing the link between human and machine oriented
perspectives on linguistic complexity

Submissions:

We invite submissions of both long and short papers, including opinion
statements. All of the papers will be included in conference proceedings. The
conference proceedings will be published in electronic form only this time.

Long papers may consist of up to eight pages (A4), plus two extra pages for
references. Short papers may consist of up to four pages (A4), plus two extra
pages for references. Authors of accepted papers will be given additional
space in the camera-ready version to reflect space needed for changes stemming
from reviewers comments.

Papers shall be submitted in English, anonymised with regard to the authors
and/or their institution (no author-identifying information on the title page
nor anywhere in the paper), including referencing style as usual. Authors
should also ensure that identifying meta-information is removed from files
submitted for review.

Papers must conform to official COLING 2016 style guidelines.

Submission and reviewing will be managed online by the START system. The only
accepted format for submitted papers is in Adobe's PDF. Submissions must be
uploaded on the START system (to be announced soon) by the submission
deadlines.

Important Dates:

June 2016: First call for workshop papers
September 25, 2016: Workshop paper due
October 16, 2016: Notification of acceptance
October 30, 2016: Camera-ready due
November 30, 2016: Official proceedings publication date
December 11, 2016: Workshop date

Contact:

For any inquiries regarding the workshop please send an email to:
cl4lc.ws at gmail.com




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