Olga Uryupina

32 papers receiving 930 citations

Peers

Olga Uryupina
Comparison fields: 5 of 62
  • Artificial Intelligence 943
  • Computer Vision and Pattern Recognition 83
  • Information Systems 78
  • Molecular Biology 73
  • Computer Networks and Communications 60
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Citations per year

Countries citing papers authored by Olga Uryupina

Since Specialization
Citations

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

Fields of papers citing papers by Olga Uryupina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Uryupina

This figure shows the co-authorship network connecting the top 25 collaborators of Olga Uryupina. A scholar is included among the top collaborators of Olga Uryupina 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 Olga Uryupina. Olga Uryupina 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
#WorkIndexed citations
1 1
2
ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions
2
3 25
4
SenTube: A Corpus for Sentiment Analysis on YouTube Social Media
39
5
Adapting a State-of-the-art Anaphora Resolution System for Resource-poor Language
7
6
Multilingual Mention Detection for Coreference Resolution
6
7 4
8
BART goes multilingual: The UniTN / Essex submission to the CoNLL-2012 Shared Task
12
9
Domain-specific vs. Uniform Modeling for Coreference Resolution
7
10
CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes
376
11
Single and multi-objective optimization for feature selection in anaphora resolution
8
12
Multi-metric optimization for coreference: The UniTN / IITP / Essex submission to the 2011 CONLL Shared Task
8
13
Corry: A System for Coreference Resolution
10
14
BART: A Multilingual Anaphora Resolution System
26
15
Creating a Coreference Resolution System for Italian
10
16
Detecting anaphoricity and antecedenthood for coreference resolution
4
17
Error Analysis for Learning-based Coreference Resolution
7
18
Coreference Resolution with and without Linguistic Knowledge
13
19
Evaluating Name-Matching for Coreference Resolution
5
20 28

About Olga Uryupina

Olga Uryupina is a scholar working on Artificial Intelligence, Signal Processing and Media Technology, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (27 papers), Natural Language Processing Techniques (25 papers) and Speech and dialogue systems (11 papers). The work is most often cited by research in Artificial Intelligence (943 citations), Computer Vision and Pattern Recognition (83 citations) and Management Science and Operations Research (44 citations). Olga Uryupina has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Alessandro Moschitti, Nianwen Xue, Yuchen Zhang, Sameer Pradhan, Massimo Poesio, Anders Björkelund, Hwee Tou Ng, Barbara Plank, Aliaksei Severyn and Katja Filippova. Their work appears in journals such as Information Processing & Management, Soft Computing and Language Resources and Evaluation.

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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