Daniel Cer
- Artificial Intelligence top 0.2%
- Natural Language Processing Techniques 40
- Topic Modeling 39
- Text Readability and Simplification 8
- Semantic Web and Ontologies 4
- Speech and dialogue systems 3
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- Multimodal Machine Learning Applications 5
- Information Systems top 2%
- Software Engineering Research 3
- General Social Sciences top 1%
- Health Informatics top 10%
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- Biomedical Text Mining and Ontologies 6
- Co-authors
- Aitor González-AgirreMona DiabEneko AgirreChristopher D. ManningYinfei YangNoah ConstantWeiwei GuoBrian Strope
- Journals
- Language Resources and Evaluation (1 paper)Machine Translation (1 paper)Workshop on Statistical Machine Translation (2 papers)
- Partner nations
- United StatesSpainSwitzerland
In The Last Decade
Daniel Cer
41 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 3.6k
- Computer Vision and Pattern Recognition 641
- Information Systems 398
- General Social Sciences 48
- Health Informatics 13
Countries citing papers authored by Daniel Cer
This map shows the geographic impact of Daniel Cer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Cer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Cer more than expected).
Fields of papers citing papers by Daniel Cer
This network shows the impact of papers produced by Daniel Cer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Cer. The network helps show where Daniel Cer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Cer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Modelsbreakdown → | 2022 | 138 |
| 4 | Language-agnostic BERT Sentence Embeddingbreakdown → | 2022 | 177 |
| 5 | 2021 | 25 | |
| 6 | 2021 | 8 | |
| 7 | Universal Sentence Encoder for Englishbreakdown → | 2018 | 705 |
| 8 | SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluationbreakdown → | 2016 | 296 |
| 9 | Bilingual Word Embeddings for Phrase-Based Machine Translationbreakdown → | 2013 | 307 |
| 10 | Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task | 2013 | 5 |
| 11 | *SEM 2013 shared task: Semantic Textual Similarity | 2013 | 232 |
| 12 | Positive Diversity Tuning for Machine Translation System Combination | 2013 | 4 |
| 13 | Fast and Adaptive Online Training of Feature-Rich Translation Models | 2013 | 25 |
| 14 | Stanford: Probabilistic Edit Distance Metrics for STS | 2012 | 3 |
| 15 | SemEval-2012 Task 6: A Pilot on Semantic Textual Similaritybreakdown → | 2012 | 421 |
| 16 | Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy. | 2010 | 88 |
| 17 | Phrasal: a toolkit for statistical machine translation with facilities for extraction and incorporation of arbitrary model features | 2010 | 25 |
| 18 | 2010 | 22 | |
| 19 | The Best Lexical Metric for Phrase-Based Statistical MT System Optimization | 2010 | 37 |
| 20 | Robust Graph Alignment Methods for Textual Inference and Machine Reading. | 2007 | 2 |
About Daniel Cer
Daniel Cer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Linguistics and Language, having authored 42 papers that have together received 4.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (40 papers), Topic Modeling (39 papers), Text Readability and Simplification (8 papers), Biomedical Text Mining and Ontologies (6 papers), Multimodal Machine Learning Applications (5 papers), Semantic Web and Ontologies (4 papers), Speech and dialogue systems (3 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Artificial Intelligence (3.6k citations), Computer Vision and Pattern Recognition (641 citations) and Information Systems (398 citations). Daniel Cer has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Aitor González-Agirre, Mona Diab, Eneko Agirre, Christopher D. Manning, Yinfei Yang, Noah Constant, Weiwei Guo, Brian Strope, Ray Kurzweil and Steve Yuan. Their work appears in journals such as Language Resources and Evaluation, Machine Translation, Workshop on Statistical Machine Translation, Joint Conference on Lexical and Computational Semantics and North American Chapter of the Association for Computational Linguistics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.