Ann Irvine

717 total citations
23 papers, 454 citations indexed

About

Ann Irvine is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ann Irvine has authored 23 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Ann Irvine's work include Topic Modeling (22 papers), Natural Language Processing Techniques (21 papers) and Text Readability and Simplification (7 papers). Ann Irvine is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (21 papers) and Text Readability and Simplification (7 papers). Ann Irvine collaborates with scholars based in United States and Canada. Ann Irvine's 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 and has published in prestigious journals such as Computational Linguistics, Transactions of the Association for Computational Linguistics and Natural Language Engineering.

In The Last Decade

Ann Irvine

22 papers receiving 396 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ann Irvine United States	14	406	72	42	35	32	23	454
Patrick Schone United States	11	531 1.3×	36 0.5×	29 0.7×	26 0.7×	57 1.8×	21	573
Stephen Tratz United States	12	370 0.9×	38 0.5×	33 0.8×	34 1.0×	35 1.1×	33	430
Spence Green United States	14	574 1.4×	110 1.5×	31 0.7×	10 0.3×	61 1.9×	21	626
Pamela Forner Spain	11	270 0.7×	44 0.6×	38 0.9×	8 0.2×	63 2.0×	18	319
Katharina Kann United States	14	505 1.2×	103 1.4×	15 0.4×	9 0.3×	22 0.7×	45	538
Montse Maritxalar Spain	7	461 1.1×	60 0.8×	36 0.9×	24 0.7×	51 1.6×	32	512
Petya Osenova Bulgaria	11	414 1.0×	24 0.3×	30 0.7×	8 0.2×	56 1.8×	71	479
Danilo Giampiccolo Israel	11	865 2.1×	173 2.4×	34 0.8×	39 1.1×	113 3.5×	16	903
Mark Sammons United States	13	583 1.4×	53 0.7×	34 0.8×	10 0.3×	57 1.8×	33	631
E.F. Tjong Kim Sang Netherlands	7	237 0.6×	20 0.3×	22 0.5×	7 0.2×	33 1.0×	23	296

Countries citing papers authored by Ann Irvine

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ann Irvine

This figure shows the co-authorship network connecting the top 25 collaborators of Ann Irvine. A scholar is included among the top collaborators of Ann Irvine based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ann Irvine. Ann Irvine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Irvine, Ann. (2019). Natural Language Processing and Temporal Information Extraction in Emergency Department Triage Notes. Carolina Digital Repository (University of North Carolina at Chapel Hill).

Irvine, Ann & Chris Callison-Burch. (2017). A Comprehensive Analysis of Bilingual Lexicon Induction. Computational Linguistics. 43(2). 273–310. 21 indexed citations

Irvine, Ann & Chris Callison-Burch. (2016). End-to-end statistical machine translation with zero or small parallel texts. Natural Language Engineering. 22(4). 517–548. 9 indexed citations

Irvine, Ann & Chris Callison-Burch. (2014). Using Comparable Corpora to Adapt MT Models to New Domains. 437–444. 3 indexed citations

Pavlick, Ellie, et al.. (2014). The Language Demographics of Amazon Mechanical Turk. Transactions of the Association for Computational Linguistics. 2. 79–92. 69 indexed citations

Irvine, Ann & Chris Callison-Burch. (2013). Combining Bilingual and Comparable Corpora for Low Resource Machine Translation. Workshop on Statistical Machine Translation. 262–270. 39 indexed citations

Irvine, Ann, et al.. (2013). The (Un)faithful Machine Translator. 96–101. 15 indexed citations

Irvine, Ann & Chris Callison-Burch. (2013). Supervised Bilingual Lexicon Induction with Multiple Monolingual Signals. North American Chapter of the Association for Computational Linguistics. 518–523. 36 indexed citations

Irvine, Ann. (2013). Statistical Machine Translation in Low Resource Settings. North American Chapter of the Association for Computational Linguistics. 54–61. 9 indexed citations

10.

Irvine, Ann, John Morgan, Marine Carpuat, Hal Daumé, & Dragos Stefan Munteanu. (2013). Measuring Machine Translation Errors in New Domains. Transactions of the Association for Computational Linguistics. 1. 429–440. 34 indexed citations

11.

Irvine, Ann, Chris Quirk, & Hal Daumé. (2013). Monolingual Marginal Matching for Translation Model Adaptation. 1077–1088. 12 indexed citations

12.

Carpuat, Marine, Hal Daumé, Katharine E. Henry, et al.. (2013). SenseSpotting: Never let your parallel data tie you to an old domain. NPARC. 1. 1435–1445. 19 indexed citations

13.

Irvine, Ann, Jonathan Weese, & Chris Callison-Burch. (2012). Processing Informal, Romanized Pakistani Text Messages. 75–78. 15 indexed citations

14.

Riesa, Jason, Ann Irvine, & Daniel Marcu. (2011). Feature-Rich Language-Independent Syntax-Based Alignment for Statistical Machine Translation. Empirical Methods in Natural Language Processing. 497–507. 16 indexed citations

15.

Irvine, Ann, Chris Callison-Burch, & Alexandre Klementiev. (2010). Transliterating From All Languages. Conference of the Association for Machine Translation in the Americas. 19 indexed citations

16.

Irvine, Ann & Alexandre Klementiev. (2010). Using Mechanical Turk to Annotate Lexicons for Less Commonly Used Languages. North American Chapter of the Association for Computational Linguistics. 108–113. 32 indexed citations

17.

Li, Zhifei, Chris Callison-Burch, Chris Dyer, et al.. (2010). Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies. 133–137. 13 indexed citations

18.

Kelly, Diane, Chirag Shah, Cassidy R. Sugimoto, et al.. (2008). Effects of performance feedback on users' evaluations of an interactive IR system. 75–82. 10 indexed citations

19.

Irvine, Ann, et al.. (2008). TN-TIES: A system for extracting temporal information from emergency department triage notes.. PubMed. 328–32. 15 indexed citations

20.

Irvine, Ann, et al.. (2008). It's all relative: Usage of relative temporal expressions in triage notes. Proceedings of the American Society for Information Science and Technology. 45(1). 1–8. 4 indexed citations

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.

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