---
title: "Workshop on Deep Learning Approaches for Low-Resource NLP"
description: "Workshop on Deep Learning Approaches for Low-Resource NLP 2018 — accepted papers: 1 paper in the Elamur Research library…"
canonical: "https://research.elamur.ai/free/en/venues/workshop-on-deep-learning-approaches-for-low-resource-nlp/2018/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/workshop-on-deep-learning-approaches-for-low-resource-nlp/2018/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Workshop on Deep Learning Approaches…](https://md.research.elamur.ai/free/en/venues/workshop-on-deep-learning-approaches-for-low-resource-nlp/) / 2018

# Workshop on Deep Learning Approaches for Low-Resource NLP 2018 — accepted papers

Workshop on Deep Learning Approaches for Low-Resource NLP 2018 is the 2018 edition of the Workshop on Deep Learning Approaches for Low-Resource NLP, held in Melbourne, July 2018 (publisher: Association for Computational Linguistics). OpenAlex lists 10 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**10** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/workshop-on-deep-learning-approaches-for-low-resource-nlp/2018/#works) · [**24** citations of these works](https://md.research.elamur.ai/free/en/venues/workshop-on-deep-learning-approaches-for-low-resource-nlp/2018/#works)**Melbourne** where it was held**July 2018** when

## Most cited papers

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

1. **[Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data ↗](https://aclanthology.org/W18-3402/)**Michael A. Hedderich, Dietrich Klakow*32 citations*
2. **[Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data ↗](https://aclanthology.org/W18-3405/)**Koel Dutta Chowdhury, Mohammed Hasanuzzaman, Qun Liu*29 citations*
3. **[Domain Adapted Word Embeddings for Improved Sentiment Classification ↗](https://aclanthology.org/W18-3407/)**Prathusha Kameswara Sarma, Yingyu Liang, Bill Sethares*25 citations*
4. **[Character-level Supervision for Low-resource POS Tagging ↗](https://aclanthology.org/W18-3401/)**Katharina Kann, Johannes Bjerva, Isabelle Augenstein et al.*21 citations*
5. **[Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus ↗](https://aclanthology.org/W18-3406/)**Fariz Ikhwantri, Samuel Louvan, Kemal Kurniawan et al.*17 citations*
6. **[Multi-task learning for historical text normalization: Size matters](https://md.research.elamur.ai/free/en/papers/bollmann-2018-multi-task-learning-historical-text/)**Marcel Bollmann, Anders Søgaard, Joachim Bingel*15 citations · our summary*
7. **[Compositional Language Modeling for Icon-Based Augmentative and Alternative Communication ↗](https://aclanthology.org/W18-3404/)**Shiran Dudy, Steven Bedrick*11 citations*
8. **[Low-rank passthrough neural networks ↗](https://aclanthology.org/W18-3410/)**Antonio Valerio Miceli Barone*11 citations*
9. **[Investigating Effective Parameters for Fine-tuning of Word Embeddings Using Only a Small Corpus ↗](https://aclanthology.org/W18-3408/)**Kanako Komiya, Hiroyuki Shinnou*7 citations*
10. **[Semi-Supervised Learning with Auxiliary Evaluation Component for Large Scale e-Commerce Text Classification ↗](https://aclanthology.org/W18-3409/)**Mingkuan Liu, Musen Wen, Selcuk Kopru et al.*3 citations*

## All accepted papers (10)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data ↗](https://aclanthology.org/W18-3402/)**Michael A. Hedderich, Dietrich Klakow*32 citations*
2. **[Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data ↗](https://aclanthology.org/W18-3405/)**Koel Dutta Chowdhury, Mohammed Hasanuzzaman, Qun Liu*29 citations*
3. **[Domain Adapted Word Embeddings for Improved Sentiment Classification ↗](https://aclanthology.org/W18-3407/)**Prathusha Kameswara Sarma, Yingyu Liang, Bill Sethares*25 citations*
4. **[Character-level Supervision for Low-resource POS Tagging ↗](https://aclanthology.org/W18-3401/)**Katharina Kann, Johannes Bjerva, Isabelle Augenstein et al.*21 citations*
5. **[Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus ↗](https://aclanthology.org/W18-3406/)**Fariz Ikhwantri, Samuel Louvan, Kemal Kurniawan et al.*17 citations*
6. **[Multi-task learning for historical text normalization: Size matters](https://md.research.elamur.ai/free/en/papers/bollmann-2018-multi-task-learning-historical-text/)**Marcel Bollmann, Anders Søgaard, Joachim Bingel*15 citations · our summary*
7. **[Compositional Language Modeling for Icon-Based Augmentative and Alternative Communication ↗](https://aclanthology.org/W18-3404/)**Shiran Dudy, Steven Bedrick*11 citations*
8. **[Low-rank passthrough neural networks ↗](https://aclanthology.org/W18-3410/)**Antonio Valerio Miceli Barone*11 citations*
9. **[Investigating Effective Parameters for Fine-tuning of Word Embeddings Using Only a Small Corpus ↗](https://aclanthology.org/W18-3408/)**Kanako Komiya, Hiroyuki Shinnou*7 citations*
10. **[Semi-Supervised Learning with Auxiliary Evaluation Component for Large Scale e-Commerce Text Classification ↗](https://aclanthology.org/W18-3409/)**Mingkuan Liu, Musen Wen, Selcuk Kopru et al.*3 citations*

## Papers with our summary in our library (1)

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

1. [**Multi-task learning for historical text normalization: Size matters**Marcel Bollmann, Anders Søgaard, Joachim Bingel*2018 · 24 citations*](https://md.research.elamur.ai/free/en/papers/bollmann-2018-multi-task-learning-historical-text/)

## Top topics

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

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

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](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.

[🧑‍🔬**Anders Søgaard**1 work here · 24 citations](https://md.research.elamur.ai/free/en/authors/anders-sogaard/) · [🧑‍🔬**Joachim Bingel**1 work here · 24 citations](https://md.research.elamur.ai/free/en/authors/joachim-bingel/) · [🧑‍🔬**Marcel Bollmann**1 work here · 24 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/)

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

- [next → Workshop on Deep Learning Approaches for Low-Resource NLP 2019](https://md.research.elamur.ai/free/en/venues/workshop-on-deep-learning-approaches-for-low-resource-nlp/2019/)
- [↑ 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/)
