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| { | |
| "text": "BlackboxNLP is the workshop on analyzing and interpreting neural networks for NLP.", | |
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| "section": "Introduction", | |
| "sec_num": null | |
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| "text": "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.", | |
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| "section": "Introduction", | |
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| "text": "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. ", | |
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| "section": "Introduction", | |
| "sec_num": null | |
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| "text": " Thursday, November 11, 2021 (continued) Interacting Knowledge Sources, Inspection and Analysis: Case-studies on Biomedical text processing Parsa Bagherzadeh and Sabine Bergler ", | |
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| { | |
| "start": 1, | |
| "end": 40, | |
| "text": "Thursday, November 11, 2021 (continued)", | |
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| "section": "annex", | |
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| "title": "Dieuwke Hupkes and Shane Steinert-Threlkeld BPE affects Training Data Memorization by Transformer Language Models -Eugene Kharitonov, Marco Baroni and Dieuwke Hupkes Do contextual language embeddings distinguish between intersective and strictly subsective adjectives? -Michael Goodale and Salvador Mascarenhas Generalization in neural sequence models: a case study in symbolic mathematics -Sean Welleck, Peter West, Jize Cao and Yejin Choi Human Evaluation Study for Explaining Knowledge Graph Completion -Timo Sztyler and Carolin Lawrence Transformers Scan both Left and Right -When they Have a", | |
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| "raw_text": "Language Models Use Monotonicity to Assess NPI Licensing -Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes and Shane Steinert-Threlkeld BPE affects Training Data Memorization by Transformer Language Models -Eu- gene Kharitonov, Marco Baroni and Dieuwke Hupkes Do contextual language embeddings distinguish between intersective and strictly subsective adjectives? -Michael Goodale and Salvador Mascarenhas Generalization in neural sequence models: a case study in symbolic mathematics - Sean Welleck, Peter West, Jize Cao and Yejin Choi Human Evaluation Study for Explaining Knowledge Graph Completion -Timo Sztyler and Carolin Lawrence Transformers Scan both Left and Right -When they Have a Cue -Jan H. Athmer and Denis Paperno", | |
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| "title": "Explaining NLP Models via Minimal Contrastive Editing (MiCE) -Alexis Ross, Ana Marasovi\u0107 and Matthew Peters Probing structures in the visual region embeddings from multimodal BERT -Victor Milewski", | |
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| "title": "Omri Abend and Vivek Srikumar On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation -Gal Patel, Leshem Choshen and Omri Abend Explaining Classes through Word", | |
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| { | |
| "first": "Yichu", | |
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| "venue": "Sampo Pyysalo, Veronika Laippala and Filip Ginter Testing the linguistics of transformer generalizations -Saliha Muradoglu and Mans Hulden", | |
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| "raw_text": "Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords -Taelin Karidi, Yichu Zhou, Nathan Schneider, Omri Abend and Vivek Srikumar On Neurons Invariant to Sentence Structural Changes in Neural Machine Transla- tion -Gal Patel, Leshem Choshen and Omri Abend Explaining Classes through Word Attributions -Samuel R\u00f6nnqvist, Amanda Myntti, Aki-Juhani Kyr\u00f6l\u00e4inen, Sampo Pyysalo, Veronika Laippala and Filip Ginter Testing the linguistics of transformer generalizations -Saliha Muradoglu and Mans Hulden", | |
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| "text": "To what extent do human explanations of model behavior align with actual model behavior?Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela and Adina Williams . . . . . . . . . . 1Test Harder than You Train: Probing with Extrapolation Splits", | |
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