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CL-MISRNLP 2020 : Special Issue of Computational Linguistics: Multilingual and Interlingual Semantic Representations for Natural Language Processing


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Submission Deadline Mar 1, 2019
Categories    NLP

Call For Papers

CfP: Special Issue of Computational Linguistics:
Multilingual and Interlingual Semantic Representations for
Natural Language Processing

Guest Editors: Marta R. Costa-jussà , Cristina España-Bonet, Pascale Fung, Noah A. Smith

* Submission deadline: March 1, 2019 *

Call for Papers
Semantic representations at different levels – word, sentence, paragraph –
are central to many solutions to Natural Language Processing (NLP) tasks.
Text annotation, information retrieval, sentiment analysis, text
summarisation, question answering, and machine translation solutions have
achieved significant improvements using semantic representations of
words. The number of tasks has also grown with the popularisation of
unsupervised word embeddings, a fast and efficient way of estimating
continuous representations of words. Now, representations derived from deep
learning methods are giving a new boost to the field.

But in an increasingly globalised world, multilingual and cross-language
applications are needed. Extensions to monolingual representations of words
such as multilingual Brown clusters, multilingual or interlingual word
embeddings, multilingual topic models, and cross-lingual semantic parsers
have been successfully applied, though performance lags behind their
monolingual counterparts. On the other hand, multilinguality should be able
to overcome one of the main limitations of standard representations:
multiple senses of a word are conflated into a single vector. In addition,
representations of sentences and paragraphs are arising through the
encoder-decoder approach (in the fields of natural language inference,
machine translation, and text summarization, among others) and the extension
to multilingual inputs is equally or even more interesting for NLP

Abstract semantic representations attract interest both in academia and
industry, as shown by the wide and varied publications from universities and
companies on this topic. Achieving improvements in this direction will
change the conception of translation (from pairwise to interlingua), enable
greater sharing among different NLP applications, and overcome low-resource
limitations through zero-shot learning, among other advantages. This
research direction will not only increase the performance of current
architectures in cross-language settings, but will also lead to novel
language-independent architectures and tasks for NLP.

This call aims to motivate research on multilingual and interlingual
representations that, in the context of any NLP task, go beyond projections
from one language into another one and that target crosslinguality. The
special topic proposed aims to put together a compact and openly accessible
volume, which presents high quality research works that cover an overview of
this multidisciplinary field as well as most recent advances.

Topics include, but are not limited to:
- Multilingual and crosslingual embeddings for words, sentences, paragraphs, or documents
- Interlingual representations for disambiguation (e.g., embeddings of interlingual word senses, concepts, etc.)
- Disambiguated representations through multilinguality
- Intrinsic evaluation of multilingual or crosslingual representations
- Extrinsic evaluation on NLP tasks

We strongly encourage submissions that include experimental findings on
languages and dialects less commonly studied in natural language processing
at present.

Submission Date
Submission of full articles: March 1st 2019

Submission Instructions
Papers should be submitted according to the Computational Linguistics style: As in regular submissions to the journal, paper
submissions should be made through the CL electronic submission system: In Step 1 of the submission process,
please select 'Special Issue: Multilingual and Interlingual Semantic
Representations' under the 'Journal Section' heading. Please note that
papers submitted to a special issue undergo the same reviewing process as
regular papers.

Guest Editors
Marta R. Costa-jussÃ
Universitat Politècnica de Catalunya, Barcelona, Spain
marta.ruiz AT

Cristina España i Bonet
DFKI and Saarland University, Saarbrücken, Germany
cristinae AT

Pascale Fung
Hong Kong University of Science and Technology
pascale AT

Noah A. Smith
University of Washington and Allen Institute for Artificial Intelligence
nasmith AT

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