Ann Irvine
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Speech and dialogue systems
- Semantic Web and Ontologies
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Topic Modeling 22
- Natural Language Processing Techniques 21
- Text Readability and Simplification 7
- Semantic Web and Ontologies 2
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- Mobile Crowdsensing and Crowdsourcing 2
- Co-authors
- Chris Callison-BurchAlexandre KlementievMatt PostEllie PavlickHal DauméDavid YarowskyMarine CarpuatJohn Morgan
- Journals
- Transactions of the Association for Computational Linguistics (2 papers)Computational Linguistics (1 paper)Natural Language Engineering (1 paper)Proceedings of the American Society for Information Science and Technology (1 paper)Workshop on Statistical Machine Translation (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Ann Irvine
22 papers receiving 396 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 406
- Computer Science Applications 35
- Computer Vision and Pattern Recognition 72
- Language and Linguistics 26
- Communication 12
Countries citing papers authored by Ann Irvine
This map shows the geographic impact of Ann Irvine'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 Ann Irvine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Irvine more than expected).
Fields of papers citing papers by Ann Irvine
This network shows the impact of papers produced by Ann Irvine. 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 Ann Irvine. The network helps show where Ann Irvine may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ann Irvine, 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 | 2019 | 0 | |
| 2 | 2017 | 21 | |
| 3 | 2016 | 9 | |
| 4 | 2014 | 3 | |
| 5 | 2014 | 69 | |
| 6 | Combining Bilingual and Comparable Corpora for Low Resource Machine Translation | 2013 | 39 |
| 7 | The (Un)faithful Machine Translator | 2013 | 15 |
| 8 | Supervised Bilingual Lexicon Induction with Multiple Monolingual Signals | 2013 | 36 |
| 9 | Statistical Machine Translation in Low Resource Settings | 2013 | 9 |
| 10 | 2013 | 34 | |
| 11 | 2013 | 12 | |
| 12 | SenseSpotting: Never let your parallel data tie you to an old domain | 2013 | 19 |
| 13 | Processing Informal, Romanized Pakistani Text Messages | 2012 | 15 |
| 14 | Feature-Rich Language-Independent Syntax-Based Alignment for Statistical Machine Translation | 2011 | 16 |
| 15 | Transliterating From All Languages | 2010 | 19 |
| 16 | Using Mechanical Turk to Annotate Lexicons for Less Commonly Used Languages | 2010 | 32 |
| 17 | Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies | 2010 | 13 |
| 18 | 2008 | 10 | |
| 19 | TN-TIES: A system for extracting temporal information from emergency department triage notes. | 2008 | 15 |
| 20 | 2008 | 4 |
About Ann Irvine
Ann Irvine is a scholar working on Artificial Intelligence, Computer Science Applications, Human-Computer Interaction, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 23 papers that have together received 454 indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (21 papers), Text Readability and Simplification (7 papers), Handwritten Text Recognition Techniques (2 papers), Biomedical Text Mining and Ontologies (2 papers), Semantic Web and Ontologies (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Technology Adoption and User Behaviour (1 paper). The work is most often cited by research in Artificial Intelligence (406 citations), Computer Science Applications (35 citations), Computer Vision and Pattern Recognition (72 citations), Language and Linguistics (26 citations) and Communication (12 citations). Ann Irvine has collaborated with scholars based in United States and Canada. Frequent co-authors include Chris Callison-Burch, Alexandre Klementiev, Matt Post, Ellie Pavlick, Hal Daumé, David Yarowsky, Marine Carpuat, John Morgan, Dragos Stefan Munteanu and Jonathan Weese. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Computational Linguistics, Natural Language Engineering, Proceedings of the American Society for Information Science and Technology and Workshop on Statistical Machine Translation.
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.