30.963, Calls: Computational Linguistics/Italy

[The LINGUIST List]

LINGUIST List: Vol-30-963. Thu Feb 28 2019. ISSN: 1069 - 4875.

Subject: 30.963, Calls: Computational Linguistics/Italy

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Date: Thu, 28 Feb 2019 23:58:19
From: Dieuwke Hupkes [d.hupkes at uva.nl]
Subject: BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP

 
Full Title: BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP 
Short Title: BlackboxNLP 2019 

Date: 01-Aug-2019 - 01-Aug-2019
Location: Florence, Italy 
Contact Person: Yonatan Belinkov
Meeting Email: blackboxnlp at googlegroups.com
Web Site: https://blackboxnlp.github.io 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 19-Apr-2019 

Meeting Description:

Neural networks have rapidly become a central component in NLP systems in the
last few years. The improvement in accuracy and performance brought by the
introduction of neural networks has typically come at the cost of our
understanding of the system: How do we assess what the representations and
computations are that the network learns? The goal of this workshop is to
bring together people who are attempting to peek inside the neural network
black box, taking inspiration from machine learning, psychology, linguistics,
and neuroscience. The topics of the workshop will include, but are not limited
to:

- Applying analysis techniques from neuroscience to analyze high-dimensional
vector representations (such as Haxby et al., 2001; Kriegeskorte, 2008) in
artificial neural networks;
- Analyzing the network's response to strategically chosen inputs in order to
infer the linguistic generalizations that the network has acquired (e.g.,
Linzen et al., 2016; Loula et al., 2018);
- Examining the performance of the network on simplified or formal languages
(e.g., Hupkes et al., 2018; Lake et al., 2018);
- Proposing modifications to neural network architectures that can make them
more interpretable (e.g., Palanki et al., 2017);
- Scaling up neural network analysis techniques developed in the connectionist
literature in the 1990s (Elman, 1991);
- Testing whether interpretable information can be decoded from intermediate
representations (e.g., Adi et al.,  2017; Chrupała et al., 2017; Hupkes et
al., 2017);
- Translating insights on neural networks interpretation from the vision
domain (e.g., Zeiler & Fergus, 2014) to language.
- Explaining model predictions (e.g., Lei et al., 2016; Alvarez-Melis &
Jaakkola, 2017): What are ways to explain specific decisions made by neural
networks?
- Adversarial examples in NLP (e.g., Ebrahimi et al., 2018; Belinkov & Bisk,
2018): How to generate them and how to evaluate their quality?
- Open-source tools for analyzing neural networks in NLP (e.g., Strobelt et
al., 2018; Rikters, 2018).
- Evaluation of analysis results: How do we know that the analysis is valid?  

BlackboxNLP 2019 is the second BlackboxNLP workshop. The programme and
proceedings of the previous edition, which was held at EMNLP 2018, can be
found here: https://blackboxnlp.github.io/2018/.


Call for Papers:

BlackboxNLP 2019: Analyzing and interpreting neural networks for NLP -- ACL
2019 Workshop

ACL, Florence, Italy
Workshop website: https://blackboxnlp.github.io/
Submission deadline: April 19

Invited speakers:
Arianna Bisazza from Leiden University and Ari Morcos from Facebook AI
Research. 

We call for two types of papers:

- Archival papers.
- Extended abstracts. 

For more information, check the workshop website at
https://blackboxnlp.github.io/.

Submission information:

- Submissions should follow the official ACL 2019 style guidelines. 
- Submissions should be made through the Sonftconf START system:
https://www.softconf.com/acl2019/blackboxnlp. 

Important dates:

April 19 - Submission deadline
May 17 - Notification of acceptance
June 3 - Camera ready deadline
August 1 - Workshop

Travel grants: 

The workshop will offer a limited number of travel grants to qualifying
students, offered thanks to generous sponsorship from Google and Microsoft.
Information regarding applying for these grants will appear on the workshop
website.




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