posted by user: grupocole || 3503 views || tracked by 2 users: [display]

DeeLIO 2020 : Deep Learning Inside Out


When Nov 11, 2020 - Nov 12, 2020
Where Punta Cana, Dominican Republic
Submission Deadline Jan 15, 2020
Notification Due Aug 17, 2020
Final Version Due Aug 31, 2020
Categories    NLP

Call For Papers

*** DeeLIO - First Call for Papers ***

Deep Learning Inside Out (DeeLIO)
The First Workshop on Knowledge Extraction and Integration for Deep Learning
Collocated with EMNLP 2020 in Punta Cana, Dominican Republic.

Workshop description

Deep learning methods have opened up a new era in NLP, providing the
community with extremely powerful tools and language representations, and
reaching impressive performance in numerous tasks. After the first
enthusiasm this success stirred, the community started looking inside the
box to understand what is coded in there, but also outside of the same
(neural) box, seeking other potentially useful sources of language-related
information. Deep Learning Inside Out (DeeLIO) is the first workshop on
knowledge extraction and integration for deep learning architectures. It
aims to bring together the knowledge interpretation, extraction and
integration lines of research in deep learning, and cover the area in
between. It will explore the introduction of external knowledge in deep
learning models and representations, the types of linguistic and real-world
knowledge neural nets encode, the extent to which this can be used for
building resources, and whether this knowledge can be beneficial to them by
being re-integrated in the models, compared to external hand-crafted
knowledge. DeeLIO also has a strong focus on structurally diverse languages
with varying semantic-syntactic properties and low-data regimes. The
workshop’s aim is to inspire novel variation-aware transfer learning and
multilingual solutions on how to use the knowledge from resource-rich
languages to inform deep learning architectures where external repositories
are scarce or missing. The focus is on lexico-semantic knowledge that can be
recovered from, or integrated into, deep learning methods across a variety
of languages.

Topics of interest include but are not limited to:

* integration of external knowledge in neural networks (under the form of
semantic specialization of embeddings, retrofitting, joint modeling, or
* exploration of the types of linguistic and world knowledge neural models,
architectures and representations encode;
* extraction of linguistic and world knowledge from deep learning models;
* use of the knowledge extracted from deep learning models in practice (for
resource enrichment, knowledge transfer to resource-lean languages, or
* analysing and understanding the limitations of the knowledge about
language and the world acquired by current neural models;
* probing and analysing different types of hand-crafted knowledge that can
enhance “blind” distributional models;
* benefits of using external versus internally encoded knowledge, and their
combination, for knowledge enhancement in neural networks;
* development and enrichment of lexico-semantic knowledge resources using
deep learning models;
* (re)integration of (semi-)automatically compiled resources into deep
learning models;
* using external knowledge in resource-lean languages through transfer
techniques or joint multilingual modelling.

We invite the submission of long and short papers on original and
unpublished research in any topic related with knowledge interpretation and
integration in deep neural networks. Long papers may consist of up to 8
pages of content + references. Short papers may consist of up to 4 pages of
content + references. Upon acceptance, both types of papers will be given
one additional page of content. Authors are encouraged to use this
additional page for addressing reviewers’ comments in the final version.
Paper submission is electronic, using the Softconf START conference
management system. Paper template files will be provided soon on the
workshop website.
Double submission of papers will need to be notified at submission.

The DeeLIO workshop will be collocated with EMNLP 2020 in Punta Cana,
Dominican Republic.

Important Dates
• Deadline for submission: July 15, 2020
• Notification of Acceptance: August 17, 2020
• Camera-ready papers due: August 31, 2020
• Workshop: November 11 or 12, 2020

Note: All deadlines are 11:59PM UTC-12:00.

Workshop Chairs
Eneko Agirre (University of the Basque Country)
Marianna Apidianaki (University of Helsinki)
Ivan Vulić (University of Cambridge)

Related Resources

ML_BDA 2021   Special Issue on Machine Learning Technologies for Big Data Analytics
CHEME 2021   5th International Conference on Chemical Engineering
Bio-inspired Deep Learning 2021   CFP: Bio-inspired Deep Learning Image and Signal Processing Pipelines in Medical Oncology - PeerJ
TSD 2021   The twenty-fourth International Conference on Text, Speech and Dialogue (TSD 2021).
NCAA 2022   Topical Collection on Deep Learning for Time Series Data for Neural Computing and Applications
MECHATROJ 2021   Mechatronics and Applications: An International Journal (MECHATROJ)
MDPI mathematics 2021   MDPI mathematics - Special Issue on Computational Optimizations for Machine Learning
IJCSEIT 2021   International Journal of Computer Science, Engineering and Information Technology
XSA 2021   Explainable Deep Learning for Sentiment Analysis
WiMoA 2021   3th International Conference on Wireless, Mobile Network and Applications