D-Index & Metrics Best Publications

Iryna Gurevych

Technical University of Darmstadt
Germany

Computer Science

Germany

2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 66 Citations 16,825 481 World Ranking 1465 National Ranking 52

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in Germany Leader Award

Overview

What is she best known for?

The fields of study Iryna Gurevych is best known for:

Artificial intelligence
Linguistics
Space (punctuation)

Iryna Gurevych is involved in relevant fields of research such as Sentence, Semantic network and Semantic similarity in the domain of Natural language processing. She undertakes interdisciplinary study in the fields of Semantic similarity and Natural language processing through her works. Artificial intelligence and Data science are two areas of study in which she engages in interdisciplinary research. Iryna Gurevych integrates many fields, such as Data science and Artificial intelligence, in her works. In her research, she undertakes multidisciplinary study on Information retrieval and Ranking (information retrieval). Her multidisciplinary approach integrates Ranking (information retrieval) and Information retrieval in her work. While working in this field, she studies both Mathematical analysis and Domain (mathematical analysis). She integrates many fields in her works, including Domain (mathematical analysis) and Mathematical analysis. Her Set (abstract data type) research extends to the thematically linked field of Programming language.

Her most cited work include:

Parsing Argumentation Structures in Persuasive Essays (248 citations)
Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary (205 citations)
A Monolingual Tree-based Translation Model for Sentence Simplification (196 citations)

What are the main themes of her work throughout her whole career to date

Iryna Gurevych merges many fields, such as Artificial intelligence and Machine learning, in her writings. While working in this field, Iryna Gurevych studies both Machine learning and Artificial intelligence. Iryna Gurevych conducts interdisciplinary study in the fields of Information retrieval and Natural language processing through her research. Her research on Programming language frequently connects to adjacent areas such as Set (abstract data type). Many of her studies on Set (abstract data type) involve topics that are commonly interrelated, such as Programming language. Iryna Gurevych connects Linguistics with Natural language processing in her study. Task (project management) connects with themes related to Management in her study. Her Management study frequently intersects with other fields, such as Task (project management). Her Biochemistry study frequently draws parallels with other fields, such as Argument (complex analysis).

Iryna Gurevych most often published in these fields:

Artificial intelligence (82.29%)
Natural language processing (58.33%)
Information retrieval (33.33%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Nils Reimers;Iryna Gurevych.
empirical methods in natural language processing (2019)

1811 Citations

Extracting Opinion Targets in a Single and Cross-Domain Setting with Conditional Random Fields

Niklas Jakob;Iryna Gurevych.
empirical methods in natural language processing (2010)

634 Citations

Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary

Torsten Zesch;Christof Müller;Iryna Gurevych.
language resources and evaluation (2008)

472 Citations

A Monolingual Tree-based Translation Model for Sentence Simplification

Zhemin Zhu;Delphine Bernhard;Iryna Gurevych.
international conference on computational linguistics (2010)

399 Citations

Identifying Argumentative Discourse Structures in Persuasive Essays

Christian Stab;Iryna Gurevych.
empirical methods in natural language processing (2014)

357 Citations

What helps where – and why? Semantic relatedness for knowledge transfer

Marcus Rohrbach;Michael Stark;Gyorgy Szarvas;Iryna Gurevych.
computer vision and pattern recognition (2010)

353 Citations

Large-scale multi-label text classification — revisiting neural networks

Jinseok Nam;Jungi Kim;Eneldo Loza Mencía;Iryna Gurevych.
european conference on machine learning (2014)

349 Citations

Parsing Argumentation Structures in Persuasive Essays

Christian Stab;Iryna Gurevych.
Computational Linguistics (2017)

309 Citations

Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

Nils Reimers;Iryna Gurevych.
empirical methods in natural language processing (2017)

309 Citations

Annotating Argument Components and Relations in Persuasive Essays

Christian Stab;Iryna Gurevych.
international conference on computational linguistics (2014)

274 Citations

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Iryna Gurevych

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Research.com Recognitions

Awards & Achievements

Overview

What is she best known for?

The fields of study Iryna Gurevych is best known for:

Her most cited work include:

What are the main themes of her work throughout her whole career to date

Iryna Gurevych most often published in these fields:

Best Publications

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