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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.
研究兴趣
论文共 63 篇作者统计合作学者相似作者
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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,
arxiv(2024)
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Frank Palma Gomez,Ramon Sanabria,Yun-hsuan Sung,Daniel Cer,Siddharth Dalmia,Gustavo Hernandez Abrego
arxiv(2024)
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