Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP

Jasmijn Bastings (Editor), Yonatan Belinkov (Editor), Emmanuel Dupoux (Editor), Mario Giulianelli (Editor), Dieuwke Hupkes (Editor), Yuval Pinter (Editor), Hassan Sajjad (Editor)

Research output: Book/ReportAnthologypeer-review

Abstract

BlackboxNLP is the workshop on analyzing and interpreting neural networks for NLP.
In the last few years, neural networks have rapidly become a central component in NLP systems. 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.
In this fourth edition of the workshop, hosted by the 2021 conference on Empirical Methods in Natural Language Processing (EMNLP), we accepted 41 archival papers and eight extended abstracts. The workshop also provided a platform for authors of four Findings of ACL papers, and seven Findings of EMNLP papers, to present their work as a poster at the workshop. In addition, for the first time, the workshop worked in collaboration with the ACL Rolling Review system (ARR), accepting two more archival papers through that avenue.
BlackboxNLP would not have been possible without the dedication of its program committee. We would like to thank them for their invaluable effort in providing timely and high-quality reviews on a short notice. We are also grateful to our invited speakers for contributing to our program
Original languageEnglish
Place of PublicationPunta Cana, Dominican Republic
PublisherAssociation for Computational Linguistics
StatePublished - 1 Nov 2021

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