📰 Workshop on Representation Learning for NLP 2020 — accepted papers

Workshop on Representation Learning for NLP 2020 is the 2020 edition of the Workshop on Representation Learning for NLP, held in Online, July 2020 (publisher: Association for Computational Linguistics). The ACL Anthology lists 24 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

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

1. Compressing BERT: Studying the Effects of Weight Pruning on Transfer LearningMitchell Gordon, Kevin Duh, Nicholas Andrews297 citations · our summary
2. Are All Languages Created Equal in Multilingual BERT?Shijie Wu, Mark Dredze234 citations · our summary
3. Contextual and Non-Contextual Word Embeddings: an in-depth Linguistic InvestigationAlessio Miaschi, Felice Dell'Orletta72 citations
4. Zero-Resource Cross-Domain Named Entity RecognitionZihan Liu, Genta Indra Winata, Pascale Fung49 citations
5. A Cross-Task Analysis of Text Span RepresentationsShubham Toshniwal, Haoyue Shi, Bowen Shi et al.30 citations
6. Staying True to Your Word: (How) Can Attention Become Explanation?Martin Tutek, Jan Snajder26 citations
7. Adversarial Training for Commonsense InferenceLis Pereira, Xiaodong Liu, Fei Cheng et al.25 citations
8. Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERTAshutosh Adhikari, Achyudh Ram, Raphael Tang et al.23 citations
9. Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from TextLukas Lange, Anastasiia Iurshina, Heike Adel et al.22 citations
10. What's in a Name? Are BERT Named Entity Representations just as Good for any other Name?Sriram Balasubramanian, Naman Jain, Gaurav Jindal et al.21 citations

All accepted papers (24)

The most cited first; 2 with our summary link to their page here, the others to the original.

1. Compressing BERT: Studying the Effects of Weight Pruning on Transfer LearningMitchell Gordon, Kevin Duh, Nicholas Andrews297 citations · our summary
2. Are All Languages Created Equal in Multilingual BERT?Shijie Wu, Mark Dredze234 citations · our summary
3. Contextual and Non-Contextual Word Embeddings: an in-depth Linguistic InvestigationAlessio Miaschi, Felice Dell'Orletta72 citations
4. Zero-Resource Cross-Domain Named Entity RecognitionZihan Liu, Genta Indra Winata, Pascale Fung49 citations
5. A Cross-Task Analysis of Text Span RepresentationsShubham Toshniwal, Haoyue Shi, Bowen Shi et al.30 citations
6. Staying True to Your Word: (How) Can Attention Become Explanation?Martin Tutek, Jan Snajder26 citations
7. Adversarial Training for Commonsense InferenceLis Pereira, Xiaodong Liu, Fei Cheng et al.25 citations
8. Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERTAshutosh Adhikari, Achyudh Ram, Raphael Tang et al.23 citations
9. Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from TextLukas Lange, Anastasiia Iurshina, Heike Adel et al.22 citations
10. What's in a Name? Are BERT Named Entity Representations just as Good for any other Name?Sriram Balasubramanian, Naman Jain, Gaurav Jindal et al.21 citations
11. Supertagging with CCG primitivesAditya Bhargava, Gerald Penn14 citations
12. Learning Geometric Word Meta-EmbeddingsPratik Jawanpuria, Satya Dev N T V, Anoop Kunchukuttan et al.11 citations
13. Learning Probabilistic Sentence Representations from ParaphrasesMingda Chen, Kevin Gimpel8 citations
14. Improving Bilingual Lexicon Induction with Unsupervised Post-Processing of Monolingual Word Vector SpacesIvan Vulić, Anna Korhonen, Goran Glavaš7 citations
15. A Metric Learning Approach to Misogyny CategorizationJuan Manuel Coria, Sahar Ghannay, Sophie Rosset et al.6 citations
16. Enhancing Transformer with Sememe KnowledgeYuhui Zhang, Chenghao Yang, Zhengping Zhou et al.5 citations
17. Compositionality and Capacity in Emergent LanguagesAbhinav Gupta, Cinjon Resnick, Jakob Foerster et al.4 citations
18. Encodings of Source Syntax: Similarities in NMT Representations Across Target LanguagesTyler A. Chang, Anna Rafferty4 citations
19. Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic TasksRiccardo Volpi, Luigi Malagò4 citations
20. Joint Training with Semantic Role Labeling for Better Generalization in Natural Language InferenceCemil Cengiz, Deniz Yuret4 citations
21. Evaluating Compositionality of Sentence Representation ModelsHanoz Bhathena, Angelica Willis, Nathan Dass3 citations
22. On Dimensional Linguistic Properties of the Word Embedding SpaceVikas Raunak, Vaibhav Kumar, Vivek Gupta et al.3 citations
23. Word Embeddings as Tuples of Feature ProbabilitiesSiddharth Bhat, Alok Debnath, Souvik Banerjee et al.3 citations
24. On the Choice of Auxiliary Languages for Improved Sequence TaggingLukas Lange, Heike Adel, Jannik Strötgen

📄 Papers with our summary in our library (2)

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

1. Are All Languages Created Equal in Multilingual BERT?Workshop on Representation Learning for NLPShijie Wu, Mark Dredze2020 · 458 citations
2. Compressing BERT: Studying the Effects of Weight Pruning on Transfer LearningWorkshop on Representation Learning for NLPMitchell Gordon, Kevin Duh, Nicholas Andrews2020 · 405 citations

🧭 Top topics

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

🌍Multilingual & cross-lingual NLP (1)🪶Efficient models & compression (1)

📚 Fields

🎭Arts and Humanities (2)🖥️Computer Science (2)

🧑‍🔬 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.

🎓Johns Hopkins UniversityBaltimore · United States2 works 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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