← Back to papers
2019 CONLL CoNLL 2019

Fully Unsupervised Crosslingual Semantic Textual Similarity Metric Based on BERT for Identifying Parallel Data

🌉 Interdisciplinary Bridge — Deep Learning and Natural Language Processing
🧭 Keyword Pioneer — cross-lingual semantic textual similarity
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Chi-kiu Lo , Michel Simard

Topics

Natural Language Processing > Applications > Information Retrieval Natural Language Processing > Applications > Machine Translation Natural Language Processing > Resources & Methods > Multilingual NLP Deep Learning > Models > Transformers

Keywords

unsupervised learning parallel corpus contextual embedding parallel corpus filtering bidirectional encoder representations from transformer cross-lingual semantic textual similarity crosslingual semantic textual similarity
Download PDF

Related papers

Deconstructing Supertagging into Multi-Task Sequence Prediction 2019
Large-Scale Representation Learning from Visually Grounded Untranscribed Speech 2019
Say Anything: Automatic Semantic Infelicity Detection in L2 English Indefinite Pronouns 2019
Federated Learning of N-Gram Language Models 2019
Learning Conceptual Spaces with Disentangled Facets 2019