Benjamin Van Durme
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Semantic Web and Ontologies
- Speech and dialogue systems
- Sentiment Analysis and Opinion Mining
-
- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 142
- Natural Language Processing Techniques 130
- Semantic Web and Ontologies 19
- Text Readability and Simplification 17
- Speech and dialogue systems 13
- Advanced Text Analysis Techniques 13
- Speech Recognition and Synthesis 12
- Co-authors
- Chris Callison-BurchXuchen YaoJuri GanitkevitchMarius PaşcaPushpendre RastogiRachel RudingerAren JansenEllie Pavlick
- Journals
- Transactions of the Association for Computational Linguistics (4 papers)Information Retrieval (1 paper)Cognitive Science (1 paper)UR Research (University of Rochester) (4 papers)SPIRE - Sciences Po Institutional REpository (2 papers)
- Partner nations
- United StatesFranceGreece
In The Last Decade
Benjamin Van Durme
169 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 3.7k
- Computer Vision and Pattern Recognition 620
- Information Systems 569
- Signal Processing 205
- General Social Sciences 49
Countries citing papers authored by Benjamin Van Durme
This map shows the geographic impact of Benjamin Van Durme'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 Benjamin Van Durme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Van Durme more than expected).
Fields of papers citing papers by Benjamin Van Durme
This network shows the impact of papers produced by Benjamin Van Durme. 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 Benjamin Van Durme. The network helps show where Benjamin Van Durme may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Van Durme, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2021 | 9 | |
| 12 | 2020 | 24 | |
| 13 | 2020 | 32 | |
| 14 | 2019 | 11 | |
| 15 | 2015 | 11 | |
| 16 | 2013 | 26 | |
| 17 | PARMA: A Predicate Argument Aligner | 2013 | 9 |
| 18 | Evaluation of Commonsense Knowledge with Mechanical Turk | 2010 | 12 |
| 19 | Finding cars, goddesses and enzymes: parametrizable acquisition of labeled instances for open-domain information extraction | 2008 | 31 |
| 20 | What you seek is what you get: extraction of class attributes from query logs | 2007 | 82 |
About Benjamin Van Durme
Benjamin Van Durme is a scholar working on Artificial Intelligence, Computational Mathematics, Computer Vision and Pattern Recognition, Information Systems and Signal Processing, having authored 186 papers that have together received 4.1k indexed citations. Recurring topics across this work include Topic Modeling (142 papers), Natural Language Processing Techniques (130 papers), Multimodal Machine Learning Applications (21 papers), Semantic Web and Ontologies (19 papers), Text Readability and Simplification (17 papers), Speech and dialogue systems (13 papers), Advanced Text Analysis Techniques (13 papers) and Speech Recognition and Synthesis (12 papers). The work is most often cited by research in Artificial Intelligence (3.7k citations), Computer Vision and Pattern Recognition (620 citations), Information Systems (569 citations), Signal Processing (205 citations) and General Social Sciences (49 citations). Benjamin Van Durme has collaborated with scholars based in United States, France and Greece. Frequent co-authors include Chris Callison-Burch, Xuchen Yao, Juri Ganitkevitch, Marius Paşca, Pushpendre Rastogi, Rachel Rudinger, Aren Jansen, Ellie Pavlick, Courtney Napoles and Jonathan Gordon. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Information Retrieval, Cognitive Science, UR Research (University of Rochester) and SPIRE - Sciences Po Institutional REpository.
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.