World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
10760
World Ranking
12859
National Ranking
5184

Overview

Daniel Cer is a researcher affiliated with Google in the United States, specializing in computer science with a primary focus on artificial intelligence. Over their career, they have produced 58 publications, mainly centered around artificial intelligence, with additional contributions to computer vision and pattern recognition, information systems, and health informatics.

Their research spans multiple main topics including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Domain Adaptation and Few-Shot Learning
  • Sentiment Analysis and Opinion Mining
  • Hate Speech and Cyberbullying Detection

Daniel Cer frequently publishes in the following venues:

  • arXiv (Cornell University)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Findings of the Association for Computational Linguistics: ACL 2022

Their recent notable papers include:

  • "Language-agnostic BERT Sentence Embedding" (2022), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models" (2022), Findings of the Association for Computational Linguistics: ACL 2022
  • "Gemma: Open Models Based on Gemini Research and Technology" (2024), arXiv (Cornell University)
  • "Language-agnostic BERT Sentence Embedding" (2020), arXiv (Cornell University)
  • "SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer" (2022), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Regular collaborators of Daniel Cer include:

  • Yinfei Yang
  • Gustavo Hernández Ábrego
  • Noah Constant
  • Jianmo Ni
  • Tu Vu

Best Publications

  • Universal Sentence Encoder

    Daniel Cer;Yinfei Yang;Sheng-yi Kong;Nan Hua

  • SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation

    Daniel M. Cer;Mona T. Diab;Eneko Agirre;Iñigo Lopez-Gazpio

  • Universal Sentence Encoder for English

    Daniel Cer;Yinfei Yang;Sheng-yi Kong;Nan Hua

  • SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

    Daniel Cer;Mona Diab;Eneko Agirre;Iñigo Lopez-Gazpio

  • SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity

    Eneko Agirre;Daniel Cer;Mona Diab;Aitor Gonzalez-Agirre

  • Bilingual Word Embeddings for Phrase-Based Machine Translation

    Will Y. Zou;Richard Socher;Daniel Cer;Christopher D. Manning

  • SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation

    Eneko Agirre;Carmen Banea;Daniel M. Cer;Mona T. Diab

  • SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability

    Eneko Agirre;Carmen Banea;Claire Cardie;Daniel Cer

  • SemEval-2014 Task 10: Multilingual Semantic Textual Similarity

    Eneko Agirre;Carmen Banea;Claire Cardie;Daniel Cer

  • *SEM 2013 shared task: Semantic Textual Similarity

    Eneko Agirre;Daniel Cer;Mona Diab;Aitor Gonzalez-Agirre

  • Gemma: Open Models Based on Gemini Research and Technology

    Unknown

  • Language-agnostic BERT Sentence Embedding

    Fangxiaoyu Feng;Yinfei Yang;Daniel Cer;Naveen Arivazhagan

  • Multilingual Universal Sentence Encoder for Semantic Retrieval

    Yinfei Yang;Daniel Cer;Amin Ahmad;Mandy Guo

  • Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models

    Jianmo Ni;Gustavo Hernández Ábrego;Noah Constant;Ji Ma

  • Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy.

    Daniel M. Cer;Marie-Catherine de Marneffe;Daniel Jurafsky;Christopher D. Manning

  • Language-agnostic BERT Sentence Embedding

    Unknown

  • Learning Semantic Textual Similarity from Conversations

    Yinfei Yang;Steve Yuan;Daniel Cer;Sheng-yi Kong

  • Learning to recognize features of valid textual entailments

    Bill MacCartney;Trond Grenager;Marie-Catherine de Marneffe;Daniel Cer

  • SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Cross-lingual Focused Evaluation

    Unknown

  • SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer.

    Tu Vu;Brian Lester;Noah Constant;Rami Al-Rfou

  • Effective Parallel Corpus Mining using Bilingual Sentence Embeddings

    Mandy Guo;Qinlan Shen;Yinfei Yang;Heming Ge

  • Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model

    Muthuraman Chidambaram;Yinfei Yang;Daniel Cer;Steve Yuan

  • Learning Alignments and Leveraging Natural Logic

    Nathanael Chambers;Daniel Cer;Trond Grenager;David Hall

  • Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax.

    Yinfei Yang;Gustavo Hernandez Abrego;Steve Yuan;Mandy Guo

Frequent Co-Authors

Christopher D. Manning
Christopher D. Manning Stanford University
Eneko Agirre
Eneko Agirre University of the Basque Country
Dan Jurafsky
Dan Jurafsky Stanford University
Mona Diab
Mona Diab Carnegie Mellon University
Michel Galley
Michel Galley Microsoft (United States)
Eric Darve
Eric Darve Stanford University
Marie-Catherine de Marneffe
Marie-Catherine de Marneffe The Ohio State University
Rada Mihalcea
Rada Mihalcea University of Michigan–Ann Arbor
German Rigau
German Rigau University of the Basque Country
Janyce Wiebe
Janyce Wiebe University of Pittsburgh

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