Research Scientist at Google. My research focuses on Natural Language Processing and Machine Learning.
New York, NY
Joined September 2009
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Dan Garrette retweeted
Presenting FRMT, a new dataset and evaluation benchmark for Few-Shot Region-Aware Machine Translation that seeks to drive research progress on equitably serving speakers of different language varieties. Learn more and see how current models fare → goo.gle/3IvnPwc
Dan Garrette retweeted
Want your image generation model to stop misspelling everything? Try giving it access to character-level input features! arxiv.org/abs/2212.10562
Dan Garrette retweeted
New paper to appear in #emnlp2021! arxiv.org/abs/2109.07020
We study the syntactic abilities of BERT by manipulating the training corpus and retraining BERT.
Dan Garrette retweeted
Just when subword models (BPE, SentencePiece, supported by the great Tokenizers library github.com/huggingface/token…) have become the new standard practice in #NLProc, signs emerge that their days may be numbered
New from Google Research: CANINE, a pre-trained tokenization-free language encoder. This frees us from a variety of pitfalls associated with tokenization, but also improves quality on TyDi QA, a multilingual question answering benchmark. arxiv.org/abs/2103.06874
Dan Garrette retweeted
New from Google Research: CANINE, a pre-trained tokenization-free language encoder. This frees us from a variety of pitfalls associated with tokenization, but also improves quality on TyDi QA, a multilingual question answering benchmark. arxiv.org/abs/2103.06874
Dan Garrette retweeted
TyDi QA is a new multilingual dataset for information-seeking question answering featuring 11 Typologically Diverse languages and over 200k QA pairs. Learn more and start experimenting with the data and code ↓ goo.gle/39cZVkv
New code for unsupervised joint dual -- literal and normalized -- OCR transcription available here github.com/tberg12/ocular w/ @hralperta #dh
@skilpat Don't tell them about how there's not even guaranteed parental leave... it might be too much for them to handle.
Dan Garrette retweeted
Nice paper from @jasonbaldridge that we had missed…. xitter.cf/jasonbaldridge/status/…
It's so hard to show linguistics helping ML. @dhgarrette, @redpony, me & @nlpnoah (2015) for CCG is my best attempt. aclweb.org/anthology/K/K15/K…
New paper! A "supertag-context" CCG parsing model: prefer constituent labels that fit contexts dhgarrette.com/papers/garret…
Dan Garrette retweeted
Congrats to @dhgarrette for successfully defending his @UTCompSci dissertation on semi supervised learning for tagging and parsing! #NLProc
Extremely excited to announce that I've accepted a postdoc position with Luke Zettlemoyer at the University of Washington starting in May!
My paper on weakly-supervised Bayesian CCG parser learning with @redpony, @jasonbaldridge, and @nlpnoah was accepted to #AAAI2015!
New paper with @redpony, @jasonbaldridge, @nlpnoah! Weakly-Supervised Bayesian Learning of a CCG Supertagger, cs.utexas.edu/~dhg/papers/ga… #nlproc
My #NAACL2013 presentation on weakly-supervised tagging was nominated for a *Best Talk* award! Watch it here: techtalks.tv/talks/learning-… #NLProc
The video of my #naacl2013 talk on Learning a POS-Tagger from Two Hours of Annotation is now online: techtalks.tv/talks/learning-…
Dan Garrette retweeted
Daniel Marcu's (my advisor's) fav #naacl2013 papers (totally agree but that's biased :P): sdl.com/community/blog/detai…
My #naacl2013 talk slides on Low-Resource POS-Tagging are now posted on cs.utexas.edu/~dhg/ (.key & .pdf). Paper, code, and data too.
Our low-resource POS-tagging NAACL (final) and ACL (draft) papers are now online along with source code: github.com/dhgarrette/low-re… #nlproc