Dirk Hovy
- Artificial Intelligence top 0.2%
- Topic Modeling 66
- Natural Language Processing Techniques 45
- Hate Speech and Cyberbullying Detection 15
- Authorship Attribution and Profiling 15
- Sentiment Analysis and Opinion Mining 13
- Speech and dialogue systems 9
- Text Readability and Simplification 8
- Health Informatics top 2%
- Communication top 2%
- General Social Sciences top 0.5%
-
- Mobile Crowdsensing and Crowdsourcing 6
- Co-authors
- Zeerak WaseemAnders SøgaardBarbara PlankShannon SpruitShrimai PrabhumoyeEduard HovyDebora NozzaAnders Johannsen
- Journals
- Language Resources and Evaluation (3 papers)Journal of Artificial Intelligence Research (2 papers)Computational Linguistics (1 paper)
- Partner nations
- ItalyUnited StatesDenmark
In The Last Decade
Dirk Hovy
108 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 3.0k
- Health Informatics 63
- Communication 305
- General Social Sciences 92
- Computer Science Applications 149
Countries citing papers authored by Dirk Hovy
This map shows the geographic impact of Dirk Hovy'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 Dirk Hovy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Hovy more than expected).
Fields of papers citing papers by Dirk Hovy
This network shows the impact of papers produced by Dirk Hovy. 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 Dirk Hovy. The network helps show where Dirk Hovy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dirk Hovy, 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 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 13 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 40 | |
| 10 | 2019 | 18 | |
| 11 | Exploring Language Variation Across Europe - A Web-based Tool for Computational Sociolinguistics. | 2016 | 4 |
| 12 | Mining for unambiguous instances to adapt POS taggers to new domains | 2015 | 2 |
| 13 | Adapting taggers to Twitter with not-so-distant supervision | 2014 | 22 |
| 14 | Selection Bias, Label Bias, and Bias in Ground Truth | 2014 | 5 |
| 15 | When POS data sets don't add up: Combatting sample bias | 2014 | 8 |
| 16 | 2013 | 21 | |
| 17 | Learning Whom to Trust with MACE | 2013 | 162 |
| 18 | When Did that Happen? — Linking Events and Relations to Timestamps | 2012 | 14 |
| 19 | Models and Training for Unsupervised Preposition Sense Disambiguation | 2011 | 7 |
| 20 | What's in a Preposition? Dimensions of Sense Disambiguation for an Interesting Word Class | 2010 | 21 |
About Dirk Hovy
Dirk Hovy is a scholar working on Artificial Intelligence, General Social Sciences, Computer Science Applications, Linguistics and Language and Communication, having authored 112 papers that have together received 3.5k indexed citations. Recurring topics across this work include Topic Modeling (66 papers), Natural Language Processing Techniques (45 papers), Hate Speech and Cyberbullying Detection (15 papers), Authorship Attribution and Profiling (15 papers), Sentiment Analysis and Opinion Mining (13 papers), Speech and dialogue systems (9 papers), Text Readability and Simplification (8 papers) and Mobile Crowdsensing and Crowdsourcing (6 papers). The work is most often cited by research in Artificial Intelligence (3.0k citations), Health Informatics (63 citations), Communication (305 citations), General Social Sciences (92 citations) and Computer Science Applications (149 citations). Dirk Hovy has collaborated with scholars based in Italy, United States and Denmark. Frequent co-authors include Zeerak Waseem, Anders Søgaard, Barbara Plank, Shannon Spruit, Shrimai Prabhumoye, Eduard Hovy, Debora Nozza, Anders Johannsen, Tommaso Fornaciari and Federico Bianchi. Their work appears in journals such as Language Resources and Evaluation, Journal of Artificial Intelligence Research, Computational Linguistics, Transactions of the Association for Computational Linguistics and Journal of Consumer Research.
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.