FYI.
Claudia
-------- Messaggio Inoltrato -------- 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
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 Thus, your work will retain the status of being unpublished and later submission at another venue (e.g., a journal) is not precluded.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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