---
title: "Workshop on Deep Learning Approaches for Low-Resource NLP"
description: "Workshop on Deep Learning Approaches for Low-Resource NLP 2019 — accepted papers: 2 papers in the Elamur Research library (Hong…"
canonical: "https://research.elamur.ai/free/en/venues/workshop-on-deep-learning-approaches-for-low-resource-nlp/2019/"
---
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# 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.

[**32** papers in the proceedings](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/workshop-on-deep-learning-approaches-for-low-resource-nlp/2019/#works) · [**256** citations of these works](https://md.research.elamur.ai/free/en/venues/workshop-on-deep-learning-approaches-for-low-resource-nlp/2019/#works)**Hong Kong, China** where it was held**November 2019** when

## 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 Residual](https://md.research.elamur.ai/free/en/papers/he-2019-unlearn-dataset-bias-natural-language/)**He He, Sheng Zha, Haohan Wang*157 citations · our summary*
2. **[Domain Adaptation with BERT-based Domain Classification and Data Selection](https://aclanthology.org/D19-6109/)**Xiaofei Ma, Peng Xu, Zhiguo Wang et al.*87 citations*
3. **[A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification](https://aclanthology.org/D19-6101/)**Varun Kumar, Hadrien Glaude, Cyprien de Lichy et al.*85 citations*
4. **[BERT is Not an Interlingua and the Bias of Tokenization](https://aclanthology.org/D19-6106/)**Jasdeep Singh, Bryan McCann, Richard Socher et al.*68 citations*
5. **[Evaluating Lottery Tickets Under Distributional Shifts](https://aclanthology.org/D19-6117/)**Shrey Desai, Hongyuan Zhan, Ahmed Aly*32 citations*
6. **[Reinforcement-based denoising of distantly supervised NER with partial annotation](https://aclanthology.org/D19-6125/)**Farhad Nooralahzadeh, Jan Tore Lønning, Lilja Øvrelid*30 citations*
7. **[Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations](https://aclanthology.org/D19-6132/)**Ke Tran, Arianna Bisazza*28 citations*
8. **[Deep Bidirectional Transformers for Relation Extraction without Supervision](https://aclanthology.org/D19-6108/)**Yannis Papanikolaou, Ian Roberts, Andrea Pierleoni*27 citations*
9. **[Natural Language Generation for Effective Knowledge Distillation](https://aclanthology.org/D19-6122/)**Raphael Tang, Yao Lu, Jimmy Lin*22 citations*
10. **[Inject Rubrics into Short Answer Grading System](https://aclanthology.org/D19-6119/)**Tianqi 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 Residual](https://md.research.elamur.ai/free/en/papers/he-2019-unlearn-dataset-bias-natural-language/)**He He, Sheng Zha, Haohan Wang*157 citations · our summary*
2. **[Domain Adaptation with BERT-based Domain Classification and Data Selection](https://aclanthology.org/D19-6109/)**Xiaofei Ma, Peng Xu, Zhiguo Wang et al.*87 citations*
3. **[A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification](https://aclanthology.org/D19-6101/)**Varun Kumar, Hadrien Glaude, Cyprien de Lichy et al.*85 citations*
4. **[BERT is Not an Interlingua and the Bias of Tokenization](https://aclanthology.org/D19-6106/)**Jasdeep Singh, Bryan McCann, Richard Socher et al.*68 citations*
5. **[Evaluating Lottery Tickets Under Distributional Shifts](https://aclanthology.org/D19-6117/)**Shrey Desai, Hongyuan Zhan, Ahmed Aly*32 citations*
6. **[Reinforcement-based denoising of distantly supervised NER with partial annotation](https://aclanthology.org/D19-6125/)**Farhad Nooralahzadeh, Jan Tore Lønning, Lilja Øvrelid*30 citations*
7. **[Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations](https://aclanthology.org/D19-6132/)**Ke Tran, Arianna Bisazza*28 citations*
8. **[Deep Bidirectional Transformers for Relation Extraction without Supervision](https://aclanthology.org/D19-6108/)**Yannis Papanikolaou, Ian Roberts, Andrea Pierleoni*27 citations*
9. **[Natural Language Generation for Effective Knowledge Distillation](https://aclanthology.org/D19-6122/)**Raphael Tang, Yao Lu, Jimmy Lin*22 citations*
10. **[Inject Rubrics into Short Answer Grading System](https://aclanthology.org/D19-6119/)**Tianqi Wang, Naoya Inoue, Hiroki Ouchi et al.*19 citations*
11. **[Towards Zero-resource Cross-lingual Entity Linking](https://aclanthology.org/D19-6127/)**Shuyan Zhou, Shruti Rijhwani, Graham Neubig*18 citations*
12. **[A logical-based corpus for cross-lingual evaluation](https://aclanthology.org/D19-6103/)**Felipe Salvatore, Marcelo Finger, Roberto Hirata Jr*13 citations*
13. **[Empirical Evaluation of Active Learning Techniques for Neural MT](https://aclanthology.org/D19-6110/)**Xiangkai Zeng, Sarthak Garg, Rajen Chatterjee et al.*13 citations*
14. **[Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings](https://aclanthology.org/D19-6114/)**Luke Melas-Kyriazi, George Han, Celine Liang*12 citations*
15. **[Weakly Supervised Attentional Model for Low Resource Ad-hoc Cross-lingual Information Retrieval](https://aclanthology.org/D19-6129/)**Lingjun Zhao, Rabih Zbib, Zhuolin Jiang et al.*10 citations*
16. **[Metric Learning for Dynamic Text Classification](https://aclanthology.org/D19-6116/)**Jeremy Wohlwend, Ethan R. Elenberg, Sam Altschul et al.*9 citations*
17. **[A Comparative Analysis of Unsupervised Language Adaptation Methods](https://aclanthology.org/D19-6102/)**Gil Rocha, Henrique Lopes Cardoso*7 citations*
18. **[Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing](https://aclanthology.org/D19-6120/)**Somnath Basu Roy Chowdhury, Annervaz M, Ambedkar Dukkipati*7 citations*
19. **[Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning](https://aclanthology.org/D19-6105/)**Seth Ebner, Felicity Wang, Benjamin Van Durme*6 citations*
20. **[Neural Unsupervised Parsing Beyond English](https://aclanthology.org/D19-6123/)**Katharina 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 Mining](https://aclanthology.org/D19-6107/)**Xiaoman Pan, Thamme Gowda, Heng Ji et al.*5 citations*
22. **[Multimodal, Multilingual Grapheme-to-Phoneme Conversion for Low-Resource Languages](https://aclanthology.org/D19-6121/)**James Route, Steven Hillis, Isak Czeresnia Etinger et al.*5 citations*
23. **[Fast Domain Adaptation of Semantic Parsers via Paraphrase Attention](https://aclanthology.org/D19-6111/)**Avik Ray, Yilin Shen, Hongxia Jin*2 citations*
24. **[Few-Shot and Zero-Shot Learning for Historical Text Normalization](https://md.research.elamur.ai/free/en/papers/bollmann-2019-few-shot-zero-shot-learning/)**Marcel Bollmann, Natalia Korchagina, Anders Søgaard*2 citations · our summary*
25. **[Samvaadhana: A Telugu Dialogue System in Hospital Domain](https://aclanthology.org/D19-6126/)**Suma Reddy Duggenpudi, Kusampudi Siva Subrahamanyam Varma, Radhika Mamidi*2 citations*

[See all 32 papers in Workshop on Deep Learning Approaches for Low-Resource NLP 2019 — accepted papers →](https://md.research.elamur.ai/free/en/venues/workshop-on-deep-learning-approaches-for-low-resource-nlp/2019/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 Residual](https://md.research.elamur.ai/free/en/papers/he-2019-unlearn-dataset-bias-natural-language/) [Workshop on Deep Learning Approaches for Low-Resource NLP](https://md.research.elamur.ai/free/en/venues/workshop-on-deep-learning-approaches-for-low-resource-nlp/)**He He, Sheng Zha, Haohan Wang*2019 · 254 citations*
2. [**Few-Shot and Zero-Shot Learning for Historical Text Normalization**Marcel Bollmann, Natalia Korchagina, Anders Søgaard*2019 · 2 citations*](https://md.research.elamur.ai/free/en/papers/bollmann-2019-few-shot-zero-shot-learning/)

## Top topics

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

[Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [English (1)](https://md.research.elamur.ai/free/en/topics/english/)

## Fields

[Arts and Humanities (2)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (2)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

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

[🧑‍🔬**Haohan Wang**1 work here · 254 citations](https://md.research.elamur.ai/free/en/authors/haohan-wang/) · [🧑‍🔬**He He**1 work here · 254 citations](https://md.research.elamur.ai/free/en/authors/he-he/) · [🧑‍🔬**Sheng Zha**1 work here · 254 citations](https://md.research.elamur.ai/free/en/authors/sheng-zha/) · [🧑‍🔬**Anders Søgaard**1 work here · 2 citations](https://md.research.elamur.ai/free/en/authors/anders-sogaard/) · [🧑‍🔬**Marcel Bollmann**1 work here · 2 citations](https://md.research.elamur.ai/free/en/authors/marcel-bollmann/)

## Top institutions

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

[🎓**University of Copenhagen** Copenhagen · Denmark 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-copenhagen/) · [🏢**Amazon** Seattle · United States 1 work here](https://md.research.elamur.ai/free/en/companies/amazon/) · [🎓**University of Zurich** Zurich · Switzerland 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-zurich/) · [🎓**New York University** New York · United States 1 work here](https://md.research.elamur.ai/free/en/universities/new-york-university/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 1 work here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/)

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

- [← previous Workshop on Deep Learning Approaches for Low-Resource NLP 2018](https://md.research.elamur.ai/free/en/venues/workshop-on-deep-learning-approaches-for-low-resource-nlp/2018/)
- [↑ back to Workshop on Deep Learning Approaches for Low-Resource NLP](https://md.research.elamur.ai/free/en/venues/workshop-on-deep-learning-approaches-for-low-resource-nlp/)