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.
10papers in the proceedings 1work in our library 24citations of these works Melbournewhere it was held July 2018when
Most cited papers
- Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy DataMichael A. Hedderich, Dietrich Klakow32 citations
- Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic DataKoel Dutta Chowdhury, Mohammed Hasanuzzaman, Qun Liu29 citations
- Domain Adapted Word Embeddings for Improved Sentiment ClassificationPrathusha Kameswara Sarma, Yingyu Liang, Bill Sethares25 citations
- Character-level Supervision for Low-resource POS TaggingKatharina Kann, Johannes Bjerva, Isabelle Augenstein et al.21 citations
- Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational CorpusFariz Ikhwantri, Samuel Louvan, Kemal Kurniawan et al.17 citations
- Multi-task learning for historical text normalization: Size mattersMarcel Bollmann, Anders Søgaard, Joachim Bingel15 citations · our summary
- Compositional Language Modeling for Icon-Based Augmentative and Alternative CommunicationShiran Dudy, Steven Bedrick11 citations
- Low-rank passthrough neural networksAntonio Valerio Miceli Barone11 citations
- Investigating Effective Parameters for Fine-tuning of Word Embeddings Using Only a Small CorpusKanako Komiya, Hiroyuki Shinnou7 citations
- Semi-Supervised Learning with Auxiliary Evaluation Component for Large Scale e-Commerce Text ClassificationMingkuan Liu, Musen Wen, Selcuk Kopru et al.3 citations
All accepted papers (10)
- Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy DataMichael A. Hedderich, Dietrich Klakow32 citations
- Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic DataKoel Dutta Chowdhury, Mohammed Hasanuzzaman, Qun Liu29 citations
- Domain Adapted Word Embeddings for Improved Sentiment ClassificationPrathusha Kameswara Sarma, Yingyu Liang, Bill Sethares25 citations
- Character-level Supervision for Low-resource POS TaggingKatharina Kann, Johannes Bjerva, Isabelle Augenstein et al.21 citations
- Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational CorpusFariz Ikhwantri, Samuel Louvan, Kemal Kurniawan et al.17 citations
- Multi-task learning for historical text normalization: Size mattersMarcel Bollmann, Anders Søgaard, Joachim Bingel15 citations · our summary
- Compositional Language Modeling for Icon-Based Augmentative and Alternative CommunicationShiran Dudy, Steven Bedrick11 citations
- Low-rank passthrough neural networksAntonio Valerio Miceli Barone11 citations
- Investigating Effective Parameters for Fine-tuning of Word Embeddings Using Only a Small CorpusKanako Komiya, Hiroyuki Shinnou7 citations
- Semi-Supervised Learning with Auxiliary Evaluation Component for Large Scale e-Commerce Text ClassificationMingkuan Liu, Musen Wen, Selcuk Kopru et al.3 citations
Papers with our summary in our library (1)
Top topics
Fields
Arts and Humanities (1)Computer Science (1)
Top authors
🧑🔬Anders Søgaard1 work here · 24 citations🧑🔬Joachim Bingel1 work here · 24 citations🧑🔬Marcel Bollmann1 work here · 24 citations
Top institutions
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