📰 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP 2018 — accepted papers

EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP 2018 is the 2018 edition of the EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, held in Brussels, Belgium, November 2018 (publisher: Association for Computational Linguistics). OpenAlex lists 56 papers of it; our library holds 3 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Brussels, Belgium · 🗓 November 2018

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingAlex Wang, Amanpreet Singh, Julian Michael et al.4,074 citations · our summary
2. An Analysis of Encoder Representations in Transformer-Based Machine TranslationAlessandro Raganato, Jörg Tiedemann265 citations · our summary
3. Understanding Convolutional Neural Networks for Text Classification ↗Alon Jacovi, Oren Sar Shalom, Yoav Goldberg226 citations
4. On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis ↗Jose Camacho-Collados, Mohammad Taher Pilehvar164 citations
5. What do RNN Language Models Learn about Filler–Gap Dependencies?Ethan Wilcox, Roger Levy, Takashi Morita et al.154 citations · our summary
6. Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis ↗Kelly Zhang, Samuel R. Bowman112 citations
7. Rearranging the Familiar: Testing Compositional Generalization in Recurrent NetworksJoão Loula, Marco Baroni, Brenden Lake106 citations · our summary
8. Importance of Self-Attention for Sentiment Analysis ↗Gaël Letarte, Frédérik Paradis, Philippe Giguère et al.67 citations
9. Interpreting Neural Networks with Nearest Neighbors ↗Eric Wallace, Shi Feng, Jordan Boyd-Graber64 citations
10. Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items ↗Jaap Jumelet, Dieuwke Hupkes61 citations

All accepted papers (56)

The most cited first; 3 with our summary link to their page here, the others to the original.

1. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingAlex Wang, Amanpreet Singh, Julian Michael et al.4,074 citations · our summary
2. An Analysis of Encoder Representations in Transformer-Based Machine TranslationAlessandro Raganato, Jörg Tiedemann265 citations · our summary
3. Understanding Convolutional Neural Networks for Text Classification ↗Alon Jacovi, Oren Sar Shalom, Yoav Goldberg226 citations
4. On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis ↗Jose Camacho-Collados, Mohammad Taher Pilehvar164 citations
5. What do RNN Language Models Learn about Filler–Gap Dependencies?Ethan Wilcox, Roger Levy, Takashi Morita et al.154 citations · our summary
6. Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis ↗Kelly Zhang, Samuel R. Bowman112 citations
7. Rearranging the Familiar: Testing Compositional Generalization in Recurrent NetworksJoão Loula, Marco Baroni, Brenden Lake106 citations · our summary
8. Importance of Self-Attention for Sentiment Analysis ↗Gaël Letarte, Frédérik Paradis, Philippe Giguère et al.67 citations
9. Interpreting Neural Networks with Nearest Neighbors ↗Eric Wallace, Shi Feng, Jordan Boyd-Graber64 citations
10. Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items ↗Jaap Jumelet, Dieuwke Hupkes61 citations
11. Evaluating the Ability of LSTMs to Learn Context-Free Grammars ↗Luzi Sennhauser, Robert Berwick51 citations
12. An Operation Sequence Model for Explainable Neural Machine Translation ↗Felix Stahlberg, Danielle Saunders, Bill Byrne47 citations
13. Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation ↗Adam Poliak, Aparajita Haldar, Rachel Rudinger et al.42 citations
14. Can LSTM Learn to Capture Agreement? The Case of Basque ↗Shauli Ravfogel, Yoav Goldberg, Francis Tyers38 citations
15. Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell ↗Pia Sommerauer, Antske Fokkens33 citations
16. Does Syntactic Knowledge in Multilingual Language Models Transfer Across Languages? ↗Prajit Dhar, Arianna Bisazza31 citations
17. Extracting Syntactic Trees from Transformer Encoder Self-Attentions ↗David Mareček, Rudolf Rosa31 citations
18. Context-Free Transductions with Neural Stacks ↗Yiding Hao, William Merrill, Dana Angluin et al.25 citations
19. Closing Brackets with Recurrent Neural Networks ↗Natalia Skachkova, Thomas Trost, Dietrich Klakow24 citations
20. Interpretable Neural Architectures for Attributing an Ad's Performance to its Writing Style ↗Reid Pryzant, Sugato Basu, Kazoo Sone22 citations
21. LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation ↗Pankaj Gupta, Hinrich Schütze22 citations
22. Analyzing Learned Representations of a Deep ASR Performance Prediction Model ↗Zied Elloumi, Laurent Besacier, Olivier Galibert et al.21 citations
23. Interpretable Textual Neuron Representations for NLP ↗Nina Poerner, Benjamin Roth, Hinrich Schütze21 citations
24. Predicting and interpreting embeddings for out of vocabulary words in downstream tasks ↗Nicolas Garneau, Jean-Samuel Leboeuf, Luc Lamontagne21 citations
25. Grammar Induction with Neural Language Models: An Unusual Replication ↗Phu Mon Htut, Kyunghyun Cho, Samuel R. Bowman17 citations

See all 56 papers in EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP 2018 — accepted papers →

📄 Papers with our summary in our library (3)

The most cited first (OpenAlex citations plus our library's).

1. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPAlex Wang, Amanpreet Singh, Julian Michael, et al.2018 · 7,169 citations
2. An Analysis of Encoder Representations in Transformer-Based Machine TranslationEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPAlessandro Raganato, Jörg Tiedemann2018 · 368 citations
3. Rearranging the Familiar: Testing Compositional Generalization in Recurrent NetworksEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPJoão Loula, Marco Baroni, Brenden Lake2018 · 157 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🔁Machine translation (1)📏Evaluation & benchmarks (1)

📚 Fields

🎭Arts and Humanities (3)🖥️Computer Science (3)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓New York UniversityNew York · United States2 works here🎓University of HelsinkiHelsinki · Finland1 work here🎓École PolytechniquePalaiseau · France1 work here🎓University of WashingtonSeattle · United States1 work here🏢Google DeepMindLondon · United Kingdom1 work here🏢MetaMenlo Park · United States1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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