Laura Rimell

1.6k total citations
27 papers, 394 citations indexed

About

Laura Rimell is a scholar working on Artificial Intelligence, Molecular Biology and Language and Linguistics. According to data from OpenAlex, Laura Rimell has authored 27 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Language and Linguistics. Recurrent topics in Laura Rimell's work include Topic Modeling (22 papers), Natural Language Processing Techniques (22 papers) and Text Readability and Simplification (6 papers). Laura Rimell is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (22 papers) and Text Readability and Simplification (6 papers). Laura Rimell collaborates with scholars based in United Kingdom, United States and Australia. Laura Rimell's co-authors include Stephen Clark, Mark Steedman, Douwe Kiela, Ryan McDonald, Joakim Nivre, Carlos Gómez‐Rodríguez, Ivan Vulić, Phil Blunsom, Jean Maillard and Sebastian Padó and has published in prestigious journals such as Journal of Biomedical Informatics, Computational Linguistics and Language Resources and Evaluation.

In The Last Decade

Laura Rimell

27 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Rimell United Kingdom 13 363 59 43 29 16 27 394
Simon Dobnik Sweden 10 309 0.9× 57 1.0× 50 1.2× 20 0.7× 15 0.9× 32 361
Joakim Nivre United States 3 426 1.2× 30 0.5× 32 0.7× 23 0.8× 8 0.5× 4 450
Robert Östling Sweden 11 351 1.0× 28 0.5× 25 0.6× 48 1.7× 38 2.4× 41 410
Fu-Dong Chiou United States 5 657 1.8× 60 1.0× 76 1.8× 41 1.4× 10 0.6× 5 680
Lane Schwartz United States 11 430 1.2× 20 0.3× 49 1.1× 25 0.9× 7 0.4× 39 454
Svetoslav Marinov Sweden 4 616 1.7× 42 0.7× 31 0.7× 33 1.1× 9 0.6× 10 638
Denis Paperno Italy 10 264 0.7× 10 0.2× 55 1.3× 36 1.2× 13 0.8× 30 322
António Branco Portugal 12 335 0.9× 23 0.4× 23 0.5× 41 1.4× 11 0.7× 77 356
Johannes Bjerva Denmark 12 325 0.9× 12 0.2× 43 1.0× 14 0.5× 30 1.9× 46 364
Atanas Chanev Sweden 2 496 1.4× 30 0.5× 29 0.7× 27 0.9× 8 0.5× 2 510

Countries citing papers authored by Laura Rimell

Since Specialization
Citations

This map shows the geographic impact of Laura Rimell'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 Laura Rimell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Rimell more than expected).

Fields of papers citing papers by Laura Rimell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Rimell. 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 Laura Rimell. The network helps show where Laura Rimell may publish in the future.

Co-authorship network of co-authors of Laura Rimell

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Rimell. A scholar is included among the top collaborators of Laura Rimell 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 Laura Rimell. Laura Rimell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Qi, Lei Yu, Laura Rimell, & Phil Blunsom. (2021). Pretraining the Noisy Channel Model for Task-Oriented Dialogue. Transactions of the Association for Computational Linguistics. 9. 657–674. 15 indexed citations
2.
Cao, Kris & Laura Rimell. (2021). You should evaluate your language model on marginal likelihood over tokenisations. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2104–2114. 4 indexed citations
3.
Rimell, Laura, et al.. (2019). Neural Generative Rhetorical Structure Parsing. 2284–2295. 10 indexed citations
4.
Kuncoro, Adhiguna, Chris Dyer, Laura Rimell, Stephen Clark, & Phil Blunsom. (2019). Scalable Syntax-Aware Language Models Using Knowledge Distillation. 3472–3484. 13 indexed citations
5.
Rimell, Laura, et al.. (2016). Proceedings of the 2016 Workshop on Semantic Spaces at the Intersection of NLP, Physics and Cognitive Science. Electronic Proceedings in Theoretical Computer Science. 221. 3 indexed citations
6.
Kiela, Douwe, Laura Rimell, Ivan Vulić, & Stephen Clark. (2015). Exploiting Image Generality for Lexical Entailment Detection. 119–124. 32 indexed citations
7.
Rimell, Laura, et al.. (2015). An Exploration of Discourse-Based Sentence Spaces for Compositional Distributional Semantics. 1–11. 14 indexed citations
8.
Rimell, Laura, et al.. (2014). Evaluation of Simple Distributional Compositional Operations on Longer Texts. Language Resources and Evaluation. 4440–4443. 2 indexed citations
9.
Rimell, Laura, et al.. (2013). UCAM-CORE: Incorporating structured distributional similarity into STS. Joint Conference on Lexical and Computational Semantics. 1. 85–89. 2 indexed citations
10.
Rimell, Laura, et al.. (2013). Acquisition and evaluation of verb subcategorization resources for biomedicine. Journal of Biomedical Informatics. 46(2). 228–237. 6 indexed citations
11.
Rimell, Laura, et al.. (2012). Nominal Roots as Event Predicates in English Denominal Conversion Verbs. 11 indexed citations
12.
Rimell, Laura, et al.. (2012). Approaches to verb subcategorization for biomedicine. Journal of Biomedical Informatics. 46(2). 212–227. 7 indexed citations
13.
Yüret, Deniz, et al.. (2012). Parser evaluation using textual entailments. Language Resources and Evaluation. 47(3). 639–659. 7 indexed citations
14.
Nivre, Joakim, Laura Rimell, Ryan McDonald, & Carlos Gómez‐Rodríguez. (2010). Evaluation of Dependency Parsers on Unbounded Dependencies. International Conference on Computational Linguistics. 833–841. 38 indexed citations
15.
Rimell, Laura & Stephen Clark. (2010). Cambridge: Parser Evaluation Using Textual Entailment by Grammatical Relation Comparison. Meeting of the Association for Computational Linguistics. 268–271. 6 indexed citations
16.
Rimell, Laura, Stephen Clark, & Mark Steedman. (2009). Unbounded Dependency Recovery for Parser Evaluation. Edinburgh Research Explorer. 52 indexed citations
17.
Rimell, Laura & Stephen Clark. (2008). Adapting a lexicalized-grammar parser to contrasting domains. 475–475. 22 indexed citations
18.
Rimell, Laura & Stephen Clark. (2008). Porting a lexicalized-grammar parser to the biomedical domain. Journal of Biomedical Informatics. 42(5). 852–865. 41 indexed citations
19.
Rimell, Laura, et al.. (2005). VP-preposing and relative scope. Scholarly Commons (University of Pennsylvania). 11(1). 19. 4 indexed citations
20.
Leu, Thomas, Luis Alonso‐Ovalle, Mark Baltin, et al.. (2005). Donkey Pronouns: Void Descriptions?. 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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