Joel Tetreault
- Artificial Intelligence top 0.2%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 5%
- Language and Linguistics top 2%
- Communication top 2%
- Co-authors
- Martin ChodorowYashar MehdadChikashi NobataYi ChangAchint ThomasCourtney NapolesMichael GamonNitin Madnani
- Topics
- Topic Modeling (69 papers)Natural Language Processing Techniques (67 papers)Text Readability and Simplification (34 papers)
- Partner nations
- United StatesUnited KingdomSlovakia
In The Last Decade
Joel Tetreault
94 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 3.4k
- Information Systems 524
- Computer Vision and Pattern Recognition 295
- Language and Linguistics 222
- Communication 220
Countries citing papers authored by Joel Tetreault
This map shows the geographic impact of Joel Tetreault'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 Joel Tetreault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Tetreault more than expected).
Fields of papers citing papers by Joel Tetreault
This network shows the impact of papers produced by Joel Tetreault. 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 Joel Tetreault. The network helps show where Joel Tetreault may publish in the future.
Co-authorship network of co-authors of Joel Tetreault
This figure shows the co-authorship network connecting the top 25 collaborators of Joel Tetreault. A scholar is included among the top collaborators of Joel Tetreault based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joel Tetreault. Joel Tetreault is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 21 | |
| 5 | 176 | |
| 6 | TOEFL11: A Corpus of Non-Native English. Research Report. ETS RR-13-24. | 2 |
| 7 | Precision Isn't Everything: A Hybrid Approach to Grammatical Error Detection | 6 |
| 8 | Exploring Grammatical Error Correction with Not-So-Crummy Machine Translation | 18 |
| 9 | Identifying High-Level Organizational Elements in Argumentative Discourse | 38 |
| 10 | Re-examining Machine Translation Metrics for Paraphrase Identification | 130 |
| 11 | They Can Help: Using Crowdsourcing to Improve the Evaluation of Grammatical Error Detection Systems | 27 |
| 12 | Proceedings of the Sixth Workshop on Innovative Use of NLP for Building Educational Applications | 11 |
| 13 | Using Parse Features for Preposition Selection and Error Detection | 61 |
| 14 | Rethinking Grammatical Error Annotation and Evaluation with the Amazon Mechanical Turk | 22 |
| 15 | Towards Using Structural Events To Assess Non-native Speech | 11 |
| 16 | Using an Error-Annotated Learner Corpus to Develop an ESL/EFL Error Correction System. | 38 |
| 17 | Using Entity-Based Features to Model Coherence in Student Essays | 56 |
| 18 | Comparing synthesized versus pre-recorded tutor speech in an intelligent tutoring spoken dialogue system | 16 |
| 19 | Semi-automatic Syntactic and Semantic Corpus Annotation with a Deep Parser | 11 |
| 20 | Evaluation of Transcription and Annotation Tools for a Multi-modal, Multi-Party Dialogue Corpus | 6 |
About Joel Tetreault
Joel Tetreault is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology, having authored 97 papers that have together received 3.8k indexed citations. Recurring topics across this work include Topic Modeling (69 papers), Natural Language Processing Techniques (67 papers) and Text Readability and Simplification (34 papers). The work is most often cited by research in Artificial Intelligence (3.4k citations), Communication (220 citations) and Information Systems (524 citations). Joel Tetreault has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include Martin Chodorow, Yashar Mehdad, Chikashi Nobata, Yi Chang, Achint Thomas, Courtney Napoles, Michael Gamon, Nitin Madnani, Sudha Rao and Keisuke Sakaguchi. Their work appears in journals such as Computational Linguistics, Speech Communication and Language Testing.
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.