Eric K. Ringger
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Machine Learning and Algorithms
- Speech Recognition and Synthesis
- Multi-Agent Systems and Negotiation
- Advanced Text Analysis Techniques
- Computer Science Applications top 10%
Papers in
-
- Natural Language Processing Techniques 34
- Topic Modeling 33
- Speech and dialogue systems 14
- Machine Learning and Algorithms 8
- Algorithms and Data Compression 8
- Speech Recognition and Synthesis 5
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- Mobile Crowdsensing and Crowdsourcing 5
- Co-authors
- James F. AllenMichael GamonSimon Corston-OliverKevin SeppiRichard CampbellRobert C. MooreJames L. CarrollDeryle Lonsdale
- Journals
- Language Resources and Evaluation (10 papers)American Journal of Infection Control (1 paper)Journal of Hazardous Materials (1 paper)UR Research (University of Rochester) (1 paper)North American Chapter of the Association for Computational Linguistics (3 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Eric K. Ringger
58 papers receiving 683 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 712
- Computer Science Applications 37
- Computer Vision and Pattern Recognition 131
- Information Systems and Management 31
- Human-Computer Interaction 19
Countries citing papers authored by Eric K. Ringger
This map shows the geographic impact of Eric K. Ringger'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 Eric K. Ringger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric K. Ringger more than expected).
Fields of papers citing papers by Eric K. Ringger
This network shows the impact of papers produced by Eric K. Ringger. 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 Eric K. Ringger. The network helps show where Eric K. Ringger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric K. Ringger, 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 | Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types | 2018 | 1 |
| 2 | Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings. | 2016 | 7 |
| 3 | Document Recognition and Retrieval XXI | 2013 | 4 |
| 4 | Proceedings of the 2013 NAACL HLT Student Research Workshop | 2013 | 20 |
| 5 | A Probabilistic Morphological Analyzer for Syriac | 2010 | 5 |
| 6 | Parallel Active Learning: Eliminating Wait Time with Minimal Staleness | 2010 | 7 |
| 7 | Automatic Diacritization for Low-Resource Languages Using a Hybrid Word and Consonant CMM | 2010 | 4 |
| 8 | Tag Dictionaries Accelerate Manual Annotation | 2010 | 5 |
| 9 | Evaluating Models of Latent Document Semantics in the Presence of OCR Errors | 2010 | 17 |
| 10 | Assessing the Costs of Machine-Assisted Corpus Annotation through a User Study | 2008 | 26 |
| 11 | Using the Penn Treebank to Evaluate Non-Treebank Parsers | 2004 | 9 |
| 12 | Integration of Email and Task Lists. | 2004 | 7 |
| 13 | Converting Treebank Annotations to Language Neutral Syntax. | 2004 | 1 |
| 14 | 2004 | 14 | |
| 15 | French Amalgam: a quick adaptation of a sentence realization system to French | 2003 | 1 |
| 16 | An Overview of Amalgam: A Machine-learned Generation Module | 2002 | 30 |
| 17 | 2000 | 4 | |
| 18 | Rapid language model development for new task domains. | 1998 | 23 |
| 19 | Robust Error Correction Of Continuous Speech Recognition | 1997 | 4 |
| 20 | Robust Understanding in a Dialogue System | 1995 | 18 |
About Eric K. Ringger
Eric K. Ringger is a scholar working on Artificial Intelligence, Computer Science Applications, Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 61 papers that have together received 829 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (34 papers), Topic Modeling (33 papers), Speech and dialogue systems (14 papers), Handwritten Text Recognition Techniques (11 papers), Machine Learning and Algorithms (8 papers), Algorithms and Data Compression (8 papers), Mobile Crowdsensing and Crowdsourcing (5 papers) and Speech Recognition and Synthesis (5 papers). The work is most often cited by research in Artificial Intelligence (712 citations), Computer Science Applications (37 citations), Computer Vision and Pattern Recognition (131 citations), Information Systems and Management (31 citations) and Human-Computer Interaction (19 citations). Eric K. Ringger has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include James F. Allen, Michael Gamon, Simon Corston-Oliver, Kevin Seppi, Richard Campbell, Robert C. Moore, James L. Carroll, Deryle Lonsdale, Anthony Aue and Lucian Galescu. Their work appears in journals such as Language Resources and Evaluation, American Journal of Infection Control, Journal of Hazardous Materials, UR Research (University of Rochester) 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.