Mirella Lapata
Impact in
- Artificial Intelligence top 0.02%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Text Readability and Simplification
- Sentiment Analysis and Opinion Mining
- Semantic Web and Ontologies
-
- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 184
- Topic Modeling 182
- Speech and dialogue systems 38
- Advanced Text Analysis Techniques 31
- Text Readability and Simplification 23
- Semantic Web and Ontologies 17
-
- Multimodal Machine Learning Applications 39
- Video Analysis and Summarization 14
- Co-authors
- Regina Barzilay (6 shared papers)Jeff Mitchell (4 shared papers)Yang Liu (5 shared papers)Li Dong (5 shared papers)Frank Keller (17 shared papers)Carina Silberer (6 shared papers)Sebastian Padó (8 shared papers)James Clarke (6 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (18 papers)Computational Linguistics (11 papers)Journal of Artificial Intelligence Research (7 papers)Cognitive Science (5 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)
- Partner nations
- United KingdomUnited StatesSouth Korea
In The Last Decade
Mirella Lapata
235 papers receiving 13.3k citations
Mirella Lapata's Hit Papers
Peers
Comparison fields: 5 of 174
- Artificial Intelligence 12.5k
- Computer Vision and Pattern Recognition 2.2k
- Information Systems 1.5k
- Signal Processing 428
- General Social Sciences 121
Countries citing papers authored by Mirella Lapata
This map shows the geographic impact of Mirella Lapata'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 Mirella Lapata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirella Lapata more than expected).
Fields of papers citing papers by Mirella Lapata
This network shows the impact of papers produced by Mirella Lapata. 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 Mirella Lapata. The network helps show where Mirella Lapata may publish in the future.
Co-authors
The 25 scholars most cited alongside Mirella Lapata, 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 246 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Text Summarization with Pretrained Encoders Hit paper breakdown → | 2019 | 918 |
| 2 | Long Short-Term Memory-Networks for Machine Reading Hit paper breakdown → | 2016 | 676 |
| 3 | Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization Hit paper breakdown → | 2018 | 652 |
| 4 | Composition in Distributional Models of Semantics Hit paper breakdown → | 2010 | 557 |
| 5 | Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning Hit paper breakdown → | 2012 | 442 |
| 6 | Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing Hit paper breakdown → | 2008 | 432 |
| 7 | Modeling Local Coherence: An Entity-Based Approach Hit paper breakdown → | 2008 | 406 |
| 8 | Vector-based Models of Semantic Composition Hit paper breakdown → | 2008 | 390 |
| 9 | Dependency-Based Construction of Semantic Space Models Hit paper breakdown → | 2007 | 382 |
| 10 | IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence | 2005 | 241 |
| 11 | Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning | 2007 | 227 |
| 12 | Using Semantic Roles to Improve Question Answering | 2007 | 221 |
| 13 | 2003 | 215 | |
| 14 | 2018 | 207 | |
| 15 | 2017 | 202 | |
| 16 | 2009 | 193 | |
| 17 | 2008 | 184 | |
| 18 | 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies | 2012 | 167 |
| 19 | 2014 | 165 | |
| 20 | Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014, October 25-29, 2014, Doha, Qatar, A meeting of SIGDAT, a Special Interest Group of the ACL | 2014 | 157 |
About Mirella Lapata
Mirella Lapata is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology and Experimental and Cognitive Psychology, having authored 246 papers that have together received 14.4k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (184 papers), Topic Modeling (182 papers), Multimodal Machine Learning Applications (39 papers), Speech and dialogue systems (38 papers), Advanced Text Analysis Techniques (31 papers), Text Readability and Simplification (23 papers), Semantic Web and Ontologies (17 papers) and Video Analysis and Summarization (14 papers). The work is most often cited by research in Artificial Intelligence (12.5k citations), Computer Vision and Pattern Recognition (2.2k citations), Information Systems (1.5k citations), Signal Processing (428 citations) and General Social Sciences (121 citations). Mirella Lapata has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Regina Barzilay, Jeff Mitchell, Yang Liu, Li Dong, Frank Keller, Carina Silberer, Sebastian Padó, James Clarke, Jianpeng Cheng and Shay B. Cohen. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Computational Linguistics, Journal of Artificial Intelligence Research, Cognitive Science and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.