Daniel Cer
About
Daniel Cer has authored 37 papers that have received a total of 3.0k indexed citations.
This includes 37 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. The topics of these papers are Topic Modeling (36 papers), Natural Language Processing Techniques (36 papers) and Text Readability and Simplification (7 papers). Daniel Cer is often cited by papers focused on Topic Modeling (36 papers), Natural Language Processing Techniques (36 papers) and Text Readability and Simplification (7 papers) and collaborates with scholars based in United States, Spain and United Kingdom. Daniel Cer's co-authors include Christopher D. Manning, Yinfei Yang, Daniel Jurafsky, Eneko Agirre and Brian Strope and has published in prestigious journals such as Language Resources and Evaluation and Machine Translation
In The Last Decade
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