The 1st Workshop on Deep Learning Approaches for Low-
Resource Natural Language Processing (DeepLo) Workshop at 
the Annual Conference of  the Association for Computational 
Linguistics (ACL), Melbourne, Australia  

https://sites.google.com/view/deeplo18/home

WORKSHOP DESCRIPTION

Natural Language Processing is being revolutionized by deep 
learning with neural networks. However, deep learning 
requires large amounts of annotated data, and its advantage 
over traditional statistical methods typically diminishes 
when such data is not available; for example,  SMT 
continues to outperform NMT in many bilingually resource-
poor scenarios. Large amounts of annotated data do not 
exist for for many low-resource languages, and for high-
resource languages it can be difficult to find 
linguistically annotated data of sufficient size and 
quality to allow neural methods to excel. 

This workshop aims to bring together researchers from the 
NLP and ML communities who work on learning with neural 
methods when there is not enough data for those methods to 
succeed out-of-the-box. 

WORKSHOP TOPICS

Transfer learning

Multi-task learning

Semi-supervised learning

Dual learning

Unsupervised learning

Active learning

Generative adversarial networks

Bandit learning

Domain adaptation

Decipherment or zero-shot learning

Language projections

Universal representations and interlinguas

Low resource structured prediction

IMPORTANT DATES

All submission deadlines are at 11:59 p.m. Anywhere on 
Earth (UTC-12)

Paper submission: April 8, 2018 (extended deadline)

Notification of acceptance: May 7, 2018

Camera-ready submission: May 28, 2018

Workshop date: July 19, 2018

SUBMISSION

Submissions consist of up to eight pages of content; there 
is no limit on the number of pages for references. Authors 
can also submit extended abstracts of up to eight pages of 
content. Extended abstracts will not be included in the 
proceedings. Thus, your work will retain the status of 
being unpublished and later submission at another venue 
(e.g., a journal) is not precluded. Likewise, you are free 
to re-present work that has been previously published 
elsewhere. We anticipate most papers and extended abstracts 
to be presented a posters, with only a few selected for 
oral presentation. 

Please submit your paper using START: 
https://www.softconf.com/acl2018/DLNLPLR/

ORGANIZERS

Gholamreza Haffari, Monash University

Colin Cherry, Google Research

George Foster, Google Research

Shahram Khadivi, eBay Research

Bahar Salehi, Melbourne University

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Oggetto:	[SIGLEX] ACL 2018 Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing (DeepLo)
Data:	Fri, 6 Apr 2018 12:56:07 +0000 (UTC)
Mittente:	Bahar Salehi <baharsalehi@gmail.com>
A:	Claudia Soria <claudia.soria@ilc.cnr.it>