Daniel Cer

9.4k citations
42 papers · 4.1k · 8 hit papers · h-index 26

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Sentiment Analysis and Opinion Mining
    • Text Readability and Simplification
    • Text and Document Classification Technologies
    • Speech and dialogue systems
    • Multimodal Machine Learning Applications

Papers in

    • Natural Language Processing Techniques 40
    • Topic Modeling 39
    • Text Readability and Simplification 8
    • Semantic Web and Ontologies 4
    • Speech and dialogue systems 3
    • Biomedical Text Mining and Ontologies 6
Journals
Machine Translation (1 paper)Language Resources and Evaluation (1 paper)Meeting of the Association for Computational Linguistics (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (1 paper)

In The Last Decade

Daniel Cer

41 papers receiving 3.7k citations

Daniel Cer's Hit Papers

Language-agnostic BERT Sentence Embedding 2022 · 193 citations
1930+4+9Years since publication200400600

Peers

Daniel Cer
Comparison fields: 5 of 103
  • Artificial Intelligence 3.6k
  • Computer Vision and Pattern Recognition 649
  • Information Systems 406
  • General Social Sciences 48
  • Signal Processing 99
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Daniel Cer relative to Jean Y. Wu United States Jean Y. Wu's profile →
Citations per field
00.5×1.5×1.8×
Jean Y. Wu · 1×
Citations per year

Countries citing papers authored by Daniel Cer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Daniel Cer Line = papers co-authored together Daniel Cer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Universal Sentence Encoder for English
Hit paper breakdown →
2018719
2
SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity
Hit paper breakdown →
2012422
3
SemEval-2014 Task 10: Multilingual Semantic Textual Similarity
Hit paper breakdown →
2014308
4
Bilingual Word Embeddings for Phrase-Based Machine Translation
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2013308
5
SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation
Hit paper breakdown →
2016297
6
SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability
Hit paper breakdown →
2015297
7 2020233
8
*SEM 2013 shared task: Semantic Textual Similarity
2013232
9
Language-agnostic BERT Sentence Embedding
Hit paper breakdown →
2022193
10
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models
Hit paper breakdown →
2022148
11 2022114
12 200691
13 201088
14 201887
15 200754
16 201854
17 201949
18
The Best Lexical Metric for Phrase-Based Statistical MT System Optimization
201037
19 200935
20 200831

About Daniel Cer

Daniel Cer is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Information Systems and Experimental and Cognitive Psychology, having authored 42 papers that have together received 4.1k 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 (649 citations), Information Systems (406 citations), General Social Sciences (48 citations) and Signal Processing (99 citations). Daniel Cer has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Eneko Agirre, Mona Diab, Aitor González-Agirre, Christopher D. Manning, Yinfei Yang, Noah Constant, Ray Kurzweil, Weiwei Guo, Brian Strope and Steve Yuan. Their work appears in journals such as Machine Translation, Language Resources and Evaluation, Meeting of the Association for Computational Linguistics, Findings of the Association for Computational Linguistics: ACL 2022 and Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).

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.

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