📰 Workshop on Deep Learning Approaches for Low-Resource NLP 2019 — accepted papers

Workshop on Deep Learning Approaches for Low-Resource NLP 2019 is the 2019 edition of the Workshop on Deep Learning Approaches for Low-Resource NLP, held in Hong Kong, China, November 2019 (publisher: Association for Computational Linguistics). The ACL Anthology lists 32 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. Unlearn Dataset Bias in Natural Language Inference by Fitting the ResidualHe He, Sheng Zha, Haohan Wang157 citations · our summary
2. Domain Adaptation with BERT-based Domain Classification and Data SelectionXiaofei Ma, Peng Xu, Zhiguo Wang et al.87 citations
3. A Closer Look At Feature Space Data Augmentation For Few-Shot Intent ClassificationVarun Kumar, Hadrien Glaude, Cyprien de Lichy et al.85 citations
4. BERT is Not an Interlingua and the Bias of TokenizationJasdeep Singh, Bryan McCann, Richard Socher et al.68 citations
5. Evaluating Lottery Tickets Under Distributional ShiftsShrey Desai, Hongyuan Zhan, Ahmed Aly32 citations
6. Reinforcement-based denoising of distantly supervised NER with partial annotationFarhad Nooralahzadeh, Jan Tore Lønning, Lilja Øvrelid30 citations
7. Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence RepresentationsKe Tran, Arianna Bisazza28 citations
8. Deep Bidirectional Transformers for Relation Extraction without SupervisionYannis Papanikolaou, Ian Roberts, Andrea Pierleoni27 citations
9. Natural Language Generation for Effective Knowledge DistillationRaphael Tang, Yao Lu, Jimmy Lin22 citations
10. Inject Rubrics into Short Answer Grading SystemTianqi Wang, Naoya Inoue, Hiroki Ouchi et al.19 citations

All accepted papers (32)

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

1. Unlearn Dataset Bias in Natural Language Inference by Fitting the ResidualHe He, Sheng Zha, Haohan Wang157 citations · our summary
2. Domain Adaptation with BERT-based Domain Classification and Data SelectionXiaofei Ma, Peng Xu, Zhiguo Wang et al.87 citations
3. A Closer Look At Feature Space Data Augmentation For Few-Shot Intent ClassificationVarun Kumar, Hadrien Glaude, Cyprien de Lichy et al.85 citations
4. BERT is Not an Interlingua and the Bias of TokenizationJasdeep Singh, Bryan McCann, Richard Socher et al.68 citations
5. Evaluating Lottery Tickets Under Distributional ShiftsShrey Desai, Hongyuan Zhan, Ahmed Aly32 citations
6. Reinforcement-based denoising of distantly supervised NER with partial annotationFarhad Nooralahzadeh, Jan Tore Lønning, Lilja Øvrelid30 citations
7. Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence RepresentationsKe Tran, Arianna Bisazza28 citations
8. Deep Bidirectional Transformers for Relation Extraction without SupervisionYannis Papanikolaou, Ian Roberts, Andrea Pierleoni27 citations
9. Natural Language Generation for Effective Knowledge DistillationRaphael Tang, Yao Lu, Jimmy Lin22 citations
10. Inject Rubrics into Short Answer Grading SystemTianqi Wang, Naoya Inoue, Hiroki Ouchi et al.19 citations
11. Towards Zero-resource Cross-lingual Entity LinkingShuyan Zhou, Shruti Rijhwani, Graham Neubig18 citations
12. A logical-based corpus for cross-lingual evaluationFelipe Salvatore, Marcelo Finger, Roberto Hirata Jr13 citations
13. Empirical Evaluation of Active Learning Techniques for Neural MTXiangkai Zeng, Sarthak Garg, Rajen Chatterjee et al.13 citations
14. Generation-Distillation for Efficient Natural Language Understanding in Low-Data SettingsLuke Melas-Kyriazi, George Han, Celine Liang12 citations
15. Weakly Supervised Attentional Model for Low Resource Ad-hoc Cross-lingual Information RetrievalLingjun Zhao, Rabih Zbib, Zhuolin Jiang et al.10 citations
16. Metric Learning for Dynamic Text ClassificationJeremy Wohlwend, Ethan R. Elenberg, Sam Altschul et al.9 citations
17. A Comparative Analysis of Unsupervised Language Adaptation MethodsGil Rocha, Henrique Lopes Cardoso7 citations
18. Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive HashingSomnath Basu Roy Chowdhury, Annervaz M, Ambedkar Dukkipati7 citations
19. Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task LearningSeth Ebner, Felicity Wang, Benjamin Van Durme6 citations
20. Neural Unsupervised Parsing Beyond EnglishKatharina Kann, Anhad Mohananey, Samuel R. Bowman et al.6 citations
21. Cross-lingual Joint Entity and Word Embedding to Improve Entity Linking and Parallel Sentence MiningXiaoman Pan, Thamme Gowda, Heng Ji et al.5 citations
22. Multimodal, Multilingual Grapheme-to-Phoneme Conversion for Low-Resource LanguagesJames Route, Steven Hillis, Isak Czeresnia Etinger et al.5 citations
23. Fast Domain Adaptation of Semantic Parsers via Paraphrase AttentionAvik Ray, Yilin Shen, Hongxia Jin2 citations
24. Few-Shot and Zero-Shot Learning for Historical Text NormalizationMarcel Bollmann, Natalia Korchagina, Anders Søgaard2 citations · our summary
25. Samvaadhana: A Telugu Dialogue System in Hospital DomainSuma Reddy Duggenpudi, Kusampudi Siva Subrahamanyam Varma, Radhika Mamidi2 citations

See all 32 papers in Workshop on Deep Learning Approaches for Low-Resource NLP 2019 — accepted papers →

📄 Papers with our summary in our library (2)

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

1. Unlearn Dataset Bias in Natural Language Inference by Fitting the ResidualHe He, Sheng Zha, Haohan Wang2019 · 254 citations
2. Few-Shot and Zero-Shot Learning for Historical Text NormalizationMarcel Bollmann, Natalia Korchagina, Anders Søgaard2019 · 2 citations

🧭 Top topics

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

🧮Reasoning (1)English (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.

🎓University of CopenhagenCopenhagen · Denmark1 work here🏢AmazonSeattle · United States1 work here🎓University of ZurichZurich · Switzerland1 work here🎓New York UniversityNew York · United States1 work here🎓Carnegie Mellon UniversityPittsburgh · 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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