Luís Marujo
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Text Readability and Simplification
- Speech Recognition and Synthesis
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- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 12
- Natural Language Processing Techniques 8
- Advanced Text Analysis Techniques 6
- Text and Document Classification Technologies 4
- Speech and dialogue systems 2
- Text Readability and Simplification 2
- Co-authors
- Isabel TrancosoAlan W. BlackChris DyerTiago LuísLing WangSilvio AmirJaime CarbonellAnatole Gershman
- Journals
- Computational Linguistics (1 paper)Knowledge-Based Systems (1 paper)Pattern Recognition Letters (1 paper)Language Resources and Evaluation (1 paper)ACM SIGIR Forum (1 paper)
- Partner nations
- PortugalUnited StatesSingapore
In The Last Decade
Luís Marujo
15 papers receiving 490 citations
Hit Papers
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 502
- Computer Vision and Pattern Recognition 77
- Information Systems 62
- Signal Processing 21
- Human-Computer Interaction 9
Countries citing papers authored by Luís Marujo
This map shows the geographic impact of Luís Marujo'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 Luís Marujo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luís Marujo more than expected).
Fields of papers citing papers by Luís Marujo
This network shows the impact of papers produced by Luís Marujo. 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 Luís Marujo. The network helps show where Luís Marujo may publish in the future.
Co-authors
The 25 scholars most cited alongside Luís Marujo, 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 | 2018 | 5 | |
| 2 | 2018 | 45 | |
| 3 | Multi-task emoji learning | 2018 | 3 |
| 4 | 2016 | 15 | |
| 5 | 2016 | 7 | |
| 6 | 2016 | 8 | |
| 7 | 2016 | 8 | |
| 8 | 2015 | 38 | |
| 9 | Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation Hit paper breakdown → | 2015 | 299 |
| 10 | 2015 | 35 | |
| 11 | 2014 | 19 | |
| 12 | 2013 | 9 | |
| 13 | Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization | 2012 | 23 |
| 14 | BP2EP - Adaptation of Brazilian Portuguese texts to European Portuguese. | 2011 | 10 |
| 15 | 2009 | 12 |
About Luís Marujo
Luís Marujo is a scholar working on Artificial Intelligence, Human-Computer Interaction, Information Systems, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 15 papers that have together received 536 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers), Advanced Text Analysis Techniques (6 papers), Text and Document Classification Technologies (4 papers), Speech and dialogue systems (2 papers), Web Data Mining and Analysis (2 papers), Text Readability and Simplification (2 papers) and Information Retrieval and Search Behavior (1 paper). The work is most often cited by research in Artificial Intelligence (502 citations), Computer Vision and Pattern Recognition (77 citations), Information Systems (62 citations), Signal Processing (21 citations) and Human-Computer Interaction (9 citations). Luís Marujo has collaborated with scholars based in Portugal, United States and Singapore. Frequent co-authors include Isabel Trancoso, Alan W. Black, Chris Dyer, Tiago Luís, Ling Wang, Silvio Amir, Jaime Carbonell, Anatole Gershman, David Martins de Matos and João P. Neto. Their work appears in journals such as Computational Linguistics, Knowledge-Based Systems, Pattern Recognition Letters, Language Resources and Evaluation and ACM SIGIR Forum.
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.