Anna Nedoluzhko

744 citations
30 papers · 162 indexed · h-index 8

Anna Nedoluzhko

26 papers receiving 143 citations

Peers

Anna Nedoluzhko
Comparison fields: 5 of 24
  • Artificial Intelligence 137
  • Language and Linguistics 40
  • Literature and Literary Theory 15
  • Experimental and Cognitive Psychology 15
  • Linguistics and Language 3
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Citations per year

Countries citing papers authored by Anna Nedoluzhko

Since Specialization
Citations

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

Fields of papers citing papers by Anna Nedoluzhko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 15 scholars most cited alongside Anna Nedoluzhko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anna Nedoluzhko Line = papers co-authored together Anna Nedoluzhko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20235
4
Do UD Trees Match Mention Spans in Coreference Annotations?
20210
5 20182
6 20178
7
Coreference in Prague Czech-English dependency treebank
201610
8
Possessives in Parallel English-Czech-Russian Texts
20161
9
Prague Czech-English Dependency Treebank 2.0 Coref
20162
10
A new look at possessive reflexivization: A comparative study between Czech and Russian
20162
11
Prague Discourse Treebank 2.0
20165
12 20164
13
Generic noun phrases and annotation of coreference and bridging relations in the Prague Dependency Treebank
20139
14
Two Case Studies on Translating Pronouns in a Deep Syntax Framework
20134
15
Translation of "It" in a Deep Syntax Framework
201315
16
Introducing the Prague Discourse Treebank 1.0
201320
17
How Dependency Trees and Tectogrammatics Help Annotating Coreference and Bridging Relations in Prague Dependency Treebank
20134
18
Prague Discourse Treebank 1.0
20125
19
Annotation Tool for Extended Textual Coreference and Bridging Anaphora.
20102
20 200911

About Anna Nedoluzhko

Anna Nedoluzhko is a scholar working on Artificial Intelligence, Language and Linguistics and Cultural Studies, having authored 30 papers that have together received 162 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (27 papers), Topic Modeling (15 papers), Speech and dialogue systems (8 papers), Authorship Attribution and Profiling (8 papers), Semantic Web and Ontologies (5 papers), Text Readability and Simplification (4 papers), Lexicography and Language Studies (2 papers) and linguistics and terminology studies (2 papers). The work is most often cited by research in Artificial Intelligence (137 citations), Language and Linguistics (40 citations) and Literature and Literary Theory (15 citations). Anna Nedoluzhko has collaborated with scholars based in Czechia, Poland and Russia. Frequent co-authors include Michal Novák, Jiří Mírovský, Zdeněk Žabokrtský, Petr Pajas, Eva Hajičová, Ekaterina Lapshinova‐Koltunski, Ludivine Crible, Silvie Cinková, Kerstin Kunz and Martin Popel. Their work appears in journals such as Language Resources and Evaluation, Journal of Pragmatics, SHILAP Revista de lepidopterología, International Joint Conference on Natural Language Processing and ˜The œPrague Bulletin of Mathematical Linguistics.

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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