Eric Nyberg
- Artificial Intelligence top 0.5%
- Natural Language Processing Techniques 87
- Topic Modeling 76
- Speech and dialogue systems 25
- Semantic Web and Ontologies 17
- Advanced Text Analysis Techniques 11
- Information Systems top 1%
- Web Data Mining and Analysis 5
- Health Informatics top 5%
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- Multimodal Machine Learning Applications 15
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- Biomedical Text Mining and Ontologies 7
Eric Nyberg
110 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 2.0k
- Information Systems 570
- Health Informatics 24
- Computer Science Applications 92
- Computer Vision and Pattern Recognition 329
Countries citing papers authored by Eric Nyberg
This map shows the geographic impact of Eric Nyberg'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 Nyberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Nyberg more than expected).
Fields of papers citing papers by Eric Nyberg
This network shows the impact of papers produced by Eric Nyberg. 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 Nyberg. The network helps show where Eric Nyberg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Nyberg, 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 | CMU OAQA at TREC 2017 LiveQA: A Neural Dual Entailment Approach for Question Paraphrase Identification. | 2017 | 7 |
| 2 | CMU OAQA at TREC 2016 LiveQA: An Attentional Neural Encoder-Decoder Approach for Answer Ranking. | 2016 | 4 |
| 3 | CMU OAQA at TREC 2015 LiveQA: Discovering the Right Answer with Clues | 2015 | 6 |
| 4 | CMU Multiple-choice Question Answering System at NTCIR-11 QA-Lab | 2014 | 2 |
| 5 | Building Optimal Question Answering System Automatically using Configuration Space Exploration (CSE) for QA4MRE 2013 Tasks. | 2013 | 4 |
| 6 | Sentiment Classification using Automatically Extracted Subgraph Features | 2010 | 23 |
| 7 | Overview of the NTCIR-7 ACLIA IR4QA Task | 2008 | 22 |
| 8 | Overview of the NTCIR-7 ACLIA Tasks: Advanced Cross-Lingual Information Access | 2008 | 22 |
| 9 | Complex Cross-lingual Question Answering as a Sequential Classification and Multi-Document Summarization Task | 2008 | 4 |
| 10 | A Probabilistic Framework for Answer Selection in Question Answering | 2007 | 24 |
| 11 | JAVELIN III: Cross-Lingual Question Answering from Japanese and Chinese Documents | 2007 | 10 |
| 12 | SEMANTIC EXTENSIONS OF THE EPHYRA QA SYSTEM FOR TREC 2007 | 2007 | 34 |
| 13 | Language-independent Probabilistic Answer Ranking for Question Answering | 2007 | 13 |
| 14 | Exploiting Multiple Semantic Resources for Answer Selection | 2006 | 5 |
| 15 | Multi-Strategy Information Extraction for Question Answering. | 2005 | 3 |
| 16 | JAVELIN I and II Systems at TREC 2005 | 2005 | 20 |
| 17 | Qualitative dimensions in question answering: extending the definitional QA task | 2005 | 12 |
| 18 | An Information Repository Model for Advanced Question Answering Systems | 2004 | 1 |
| 19 | DialogXML: extending VoiceXML for dynamic dialog management | 2002 | 7 |
| 20 | Controlling a language generation planner | 1989 | 26 |
About Eric Nyberg
Eric Nyberg is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Language and Linguistics and Occupational Therapy, having authored 123 papers that have together received 2.4k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (87 papers), Topic Modeling (76 papers), Speech and dialogue systems (25 papers), Semantic Web and Ontologies (17 papers), Multimodal Machine Learning Applications (15 papers), Advanced Text Analysis Techniques (11 papers), Biomedical Text Mining and Ontologies (7 papers) and Web Data Mining and Analysis (5 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Information Systems (570 citations), Health Informatics (24 citations), Computer Science Applications (92 citations) and Computer Vision and Pattern Recognition (329 citations). Eric Nyberg has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Di Wang, Teruko Mitamura, Nico Schlaefer, David Ferrucci, James Fan, Jennifer Chu‐Carroll, David Gondek, Jaimie Murdock, Chris Welty and Aditya Kalyanpur. Their work appears in journals such as Language Resources and Evaluation, Machine Translation, Advanced Engineering Informatics, ACM Transactions on Information Systems and Journal of Vocational Rehabilitation.
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.