Lucy Vanderwende
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Text Readability and Simplification
- Speech and dialogue systems
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- Multimodal Machine Learning Applications
Papers in
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- Topic Modeling 45
- Natural Language Processing Techniques 45
- Advanced Text Analysis Techniques 9
- Speech and dialogue systems 7
- Text Readability and Simplification 7
- Machine Learning in Healthcare 6
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- Multimodal Machine Learning Applications 11
- Co-authors
- Ani NenkovaKatrin KirchhoffHal DauméAria HaghighiHisami SuzukiSumit BasuChris BrockettDevi Parikh
- Journals
- Language Resources and Evaluation (3 papers)Journal of Biomedical Informatics (2 papers)Transactions of the Association for Computational Linguistics (1 paper)The Journal of Rheumatology (1 paper)Information Processing & Management (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Lucy Vanderwende
64 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 3.1k
- Computer Vision and Pattern Recognition 614
- Information Systems 441
- Computer Science Applications 88
- General Social Sciences 45
Countries citing papers authored by Lucy Vanderwende
This map shows the geographic impact of Lucy Vanderwende'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 Lucy Vanderwende with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucy Vanderwende more than expected).
Fields of papers citing papers by Lucy Vanderwende
This network shows the impact of papers produced by Lucy Vanderwende. 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 Lucy Vanderwende. The network helps show where Lucy Vanderwende may publish in the future.
Co-authors
The 25 scholars most cited alongside Lucy Vanderwende, 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 | Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation | 2017 | 13 |
| 2 | 2016 | 72 | |
| 3 | A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories Hit paper breakdown → | 2016 | 340 |
| 4 | 2015 | 69 | |
| 5 | On Available Corpora for Empirical Methods in Vision & Language. | 2015 | 1 |
| 6 | Annotating Clinical Events in Text Snippets for Phenotype Detection | 2014 | 1 |
| 7 | Annotating Change of State for Clinical Events | 2013 | 3 |
| 8 | Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Hit paper breakdown → | 2013 | 517 |
| 9 | MSR SPLAT, a language analysis toolkit | 2012 | 21 |
| 10 | Statistical Section Segmentation in Free-Text Clinical Records | 2012 | 30 |
| 11 | MSR-NLP Entry in BioNLP Shared Task 2011 | 2011 | 23 |
| 12 | Joint Inference for Knowledge Extraction from Biomedical Literature | 2010 | 76 |
| 13 | Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers | 2009 | 27 |
| 14 | Using Contextual Speller Techniques and Language Modeling for ESL Error Correction | 2008 | 107 |
| 15 | Using signals of human interest to enhance single-document summarization | 2008 | 3 |
| 16 | Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources | 2007 | 127 |
| 17 | Multi-document summarization by maximizing informative content-words | 2007 | 91 |
| 18 | Answering and Questioning for Machine Reading | 2006 | 11 |
| 19 | Volunteers Created the Web. | 2005 | 8 |
| 20 | Using the Penn Treebank to Evaluate Non-Treebank Parsers | 2004 | 9 |
About Lucy Vanderwende
Lucy Vanderwende is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Language and Linguistics, Family Practice and Information Systems, having authored 64 papers that have together received 3.6k indexed citations. Recurring topics across this work include Topic Modeling (45 papers), Natural Language Processing Techniques (45 papers), Multimodal Machine Learning Applications (11 papers), Biomedical Text Mining and Ontologies (10 papers), Advanced Text Analysis Techniques (9 papers), Speech and dialogue systems (7 papers), Text Readability and Simplification (7 papers) and Machine Learning in Healthcare (6 papers). The work is most often cited by research in Artificial Intelligence (3.1k citations), Computer Vision and Pattern Recognition (614 citations), Information Systems (441 citations), Computer Science Applications (88 citations) and General Social Sciences (45 citations). Lucy Vanderwende has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ani Nenkova, Katrin Kirchhoff, Hal Daumé, Aria Haghighi, Hisami Suzuki, Sumit Basu, Chris Brockett, Devi Parikh, William B. Dolan and Nasrin Mostafazadeh. Their work appears in journals such as Language Resources and Evaluation, Journal of Biomedical Informatics, Transactions of the Association for Computational Linguistics, The Journal of Rheumatology and Information Processing & Management.
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.