Joäo Graça
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Speech and dialogue systems
- Speech Recognition and Synthesis
- Text and Document Classification Technologies
- Semantic Web and Ontologies
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- Multimodal Machine Learning Applications
Papers in
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- Topic Modeling 22
- Natural Language Processing Techniques 21
- Speech Recognition and Synthesis 5
- Speech and dialogue systems 5
- Semantic Web and Ontologies 4
- Machine Learning and Algorithms 2
- Text Readability and Simplification 2
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- Biomedical Text Mining and Ontologies 3
- Co-authors
- Ben Taskar (11 shared papers)Kuzman Ganchev (11 shared papers)Jennifer Gillenwater (4 shared papers)Shen Li (1 shared paper)Fernando Pereira (4 shared papers)Luísa Coheur (5 shared papers)Diamantino Caseiro (1 shared paper)Isabel Trancoso (4 shared papers)
- Journals
- Language Resources and Evaluation (2 papers)Journal of Machine Learning Research (2 papers)Computational Linguistics (1 paper)Journal of Artificial Intelligence Research (1 paper)Meeting of the Association for Computational Linguistics (2 papers)
- Partner nations
- PortugalUnited StatesUnited Kingdom
In The Last Decade
Joäo Graça
24 papers receiving 530 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 542
- Computer Vision and Pattern Recognition 85
- Information Systems 41
- Signal Processing 18
- Computer Science Applications 8
Countries citing papers authored by Joäo Graça
This map shows the geographic impact of Joäo Graça'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 Joäo Graça with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joäo Graça more than expected).
Fields of papers citing papers by Joäo Graça
This network shows the impact of papers produced by Joäo Graça. 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 Joäo Graça. The network helps show where Joäo Graça may publish in the future.
Co-authors
The 25 scholars most cited alongside Joäo Graça, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Posterior Regularization for Structured Latent Variable Models | 2010 | 255 |
| 2 | Wiki-ly Supervised Part-of-Speech Tagging | 2012 | 55 |
| 3 | Better Alignments = Better Translations? | 2008 | 42 |
| 4 | Sparsity in Dependency Grammar Induction | 2010 | 39 |
| 5 | Posterior Sparsity in Unsupervised Dependency Parsing | 2011 | 26 |
| 6 | 2008 | 25 | |
| 7 | 2012 | 21 | |
| 8 | 2010 | 20 | |
| 9 | The PASCAL Challenge on Grammar Induction | 2012 | 14 |
| 10 | Ontology building process: The wine domain | 2005 | 14 |
| 11 | Entropy-based Pruning for Phrase-based Machine Translation | 2012 | 13 |
| 12 | Towards a General and Extensible Phrase-Extraction Algorithm | 2010 | 11 |
| 13 | 2010 | 9 | |
| 14 | 2011 | 7 | |
| 15 | Universal Morphological Analysis using Structured Nearest Neighbor Prediction | 2011 | 6 |
| 16 | 2009 | 6 | |
| 17 | 2011 | 4 | |
| 18 | Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure | 2012 | 4 |
| 19 | Discriminative Phrase-based Lexicalized Reordering Models using Weighted Reordering Graphs | 2011 | 2 |
| 20 | Rich Prior Knowledge in Learning for Natural Language Processing | 2011 | 2 |
About Joäo Graça
Joäo Graça is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Food Science and Infectious Diseases, having authored 24 papers that have together received 580 indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (21 papers), Speech Recognition and Synthesis (5 papers), Speech and dialogue systems (5 papers), Semantic Web and Ontologies (4 papers), Biomedical Text Mining and Ontologies (3 papers), Machine Learning and Algorithms (2 papers) and Text Readability and Simplification (2 papers). The work is most often cited by research in Artificial Intelligence (542 citations), Computer Vision and Pattern Recognition (85 citations), Information Systems (41 citations), Signal Processing (18 citations) and Computer Science Applications (8 citations). Joäo Graça has collaborated with scholars based in Portugal, United States and United Kingdom. Frequent co-authors include Ben Taskar, Kuzman Ganchev, Jennifer Gillenwater, Shen Li, Fernando Pereira, Luísa Coheur, Diamantino Caseiro, Isabel Trancoso, John Blitzer and Trevor Cohn. Their work appears in journals such as Language Resources and Evaluation, Journal of Machine Learning Research, Computational Linguistics, Journal of Artificial Intelligence Research and Meeting 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.