44 - Truly Low Resource NLP, with Anders Søgaard

NLP Highlights

English - December 07, 2017 22:50 - 48 minutes - 44.1 MB - ★★★★★ - 22 ratings
Science Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed

Previous Episode: 43 - Reinforced Video Captioning with Entailment Rewards, with Ramakanth and Mohit

Next Episode: 45 - Build It, Break It workshop, with Allyson Ettinger and Sudha Rao

Anders talks with us about his line of work on doing NLP in languages where you have no linguistic resources other than a Bible translation or other religious works. He and his students have developed methods for annotation projection for both part of speech tagging and dependency parsing, aggregating information from many languages to predict annotations for languages where you have no training data. We talk about low-resource NLP generally, then dive into the specifics of the annotation projection method that Anders used, also touching on a related paper on learning cross-lingual word embeddings.

https://www.semanticscholar.org/paper/If-all-you-have-is-a-bit-of-the-Bible-Learning-POS-Agic-Hovy/812965ddce635174b33621aaaa551e5f6199b6c0
https://www.semanticscholar.org/paper/Multilingual-Projection-for-Parsing-Truly-Low-Reso-Agic-Johannsen/1414e3041f4cc3366b6ab49d1dbe9216632b9c78
https://www.semanticscholar.org/paper/Cross-Lingual-Dependency-Parsing-with-Late-Decodin-Schlichtkrull-S%C3%B8gaard/eda636e3abae829cf7ad8e0519fbaec3f29d1e82
https://www.semanticscholar.org/paper/A-Strong-Baseline-for-Learning-Cross-Lingual-Word-S%C3%B8gaard-Goldberg/55ca53050fcd29e43d6dcfb7dfc6a602ec5e6878