基本信息
views: 25
Career Trajectory
Bio
Research areas
Data Science
Information Retrieval & Search
Biography
Daniel Cer is a senior research scientist at Google Research. His work focuses on representation learning using deep learning methods for natural language processing (NLP) tasks such as semantic similarity, question answering (QA), semantic retrieval (SR), bi-text mining and text classification. Prior to Google, he was a post-doc in the Stanford NLP group where he worked on machine translation (MT), semantic textual similarity (STS) and early bilingual embedding models under the guidance of Dan Jurafsky and Chris Manning.
Data Science
Information Retrieval & Search
Biography
Daniel Cer is a senior research scientist at Google Research. His work focuses on representation learning using deep learning methods for natural language processing (NLP) tasks such as semantic similarity, question answering (QA), semantic retrieval (SR), bi-text mining and text classification. Prior to Google, he was a post-doc in the Stanford NLP group where he worked on machine translation (MT), semantic textual similarity (STS) and early bilingual embedding models under the guidance of Dan Jurafsky and Chris Manning.
Research Interests
Papers共 62 篇Author StatisticsCo-AuthorSimilar Experts
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Jinhyuk Lee,Zhuyun Dai, Xiaoqi Ren, Blair Chen,Daniel Cer,Jeremy R. Cole,Kai Hui,Michael Boratko, Rajvi Kapadia, Wen Ding,Yi Luan,Sai Meher Karthik Duddu,
CoRR (2024)
Cited11Views0EIBibtex
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Frank Palma Gomez,Ramon Sanabria,Yun-hsuan Sung,Daniel Cer,Siddharth Dalmia,Gustavo Hernandez Abrego
CoRR (2024)
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Gemma Team,Thomas Mesnard, Cassidy Hardin,Robert Dadashi,Surya Bhupatiraju,Shreya Pathak,Laurent Sifre,Morgane Rivière,Mihir Sanjay Kale, Juliette Love, Pouya Tafti,Léonard Hussenot,
CoRR (2024)
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emnlp 2022pp.9279-9300, (2022)
arXiv (Cornell University) (2022)
PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), VOL 1: (LONG PAPERS) (2022): 5039-5059
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