D-Index & Metrics Best Publications

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 D-index 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. Citations Publications World Ranking National Ranking
Computer Science D-index 32 Citations 4,073 92 World Ranking 9393 National Ranking 4260

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Natural language processing
  • Semantics

Artificial intelligence, Natural language processing, Annotation, WordNet and Semantic role labeling are her primary areas of study. As part of her studies on Artificial intelligence, Katrin Erk frequently links adjacent subjects like Context. The various areas that Katrin Erk examines in her Context study include Exemplar theory, Vector space model, Word meaning and Syntax.

Many of her research projects under Natural language processing are closely connected to Inclusion with Inclusion, tying the diverse disciplines of science together. Her Annotation study combines topics from a wide range of disciplines, such as Frame semantics, SemEval and Information retrieval. Her study in Argument is interdisciplinary in nature, drawing from both Sentence and Syntactic structure.

Her most cited work include:

  • A Structured Vector Space Model for Word Meaning in Context (323 citations)
  • Vector Space Models of Word Meaning and Phrase Meaning: A Survey (197 citations)
  • The SALSA Corpus: a German Corpus Resource for Lexical Semantics (161 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Natural language processing, Context, Word and Annotation. Katrin Erk performs integrative Artificial intelligence and Simple research in her work. Katrin Erk works mostly in the field of Natural language processing, limiting it down to topics relating to Logical conjunction and, in certain cases, Markov chain, as a part of the same area of interest.

Her work carried out in the field of Context brings together such families of science as Substitution, Sentence, Similarity, Utterance and Semantics. Katrin Erk has researched Annotation in several fields, including Frame semantics, Frame and Information retrieval. Her research investigates the connection between Frame semantics and topics such as German that intersect with issues in Lexical semantics.

She most often published in these fields:

  • Artificial intelligence (73.58%)
  • Natural language processing (66.98%)
  • Context (16.98%)

What were the highlights of her more recent work (between 2017-2020)?

  • Artificial intelligence (73.58%)
  • Natural language processing (66.98%)
  • Language model (4.72%)

In recent papers she was focusing on the following fields of study:

Her primary areas of investigation include Artificial intelligence, Natural language processing, Language model, Cluster analysis and Context. When carried out as part of a general Artificial intelligence research project, her work on Knowledge representation and reasoning is frequently linked to work in Preference, therefore connecting diverse disciplines of study. Her Natural language processing research includes elements of Pipeline and Discourse analysis.

Her studies examine the connections between Language model and genetics, as well as such issues in Variety, with regards to World Wide Web and Internet privacy. Her research in Cluster analysis intersects with topics in Data science, Data mining and Synthetic data. Katrin Erk works mostly in the field of Context, limiting it down to concerns involving Meaning and, occasionally, Semantics, Contextualization and Lexical semantics.

Between 2017 and 2020, her most popular works were:

  • Deep Neural Models of Semantic Shift (58 citations)
  • Implicit Argument Prediction with Event Knowledge (19 citations)
  • Modeling Semantic Plausibility by Injecting World Knowledge (16 citations)

In her most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Natural language processing
  • Semantics

Her scientific interests lie mostly in Artificial intelligence, Natural language processing, Knowledge representation and reasoning, Selection and Preference. Her work blends Artificial intelligence and Reading comprehension studies together. Katrin Erk performs multidisciplinary studies into Knowledge representation and reasoning and Simple in her work.

Her Structured text research integrates issues from Tree, Dependency, Parsing and Focus. Her Predicate study integrates concerns from other disciplines, such as Argument and Salience. Her studies deal with areas such as Word and Semantic change as well as Artificial neural network.

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

A Structured Vector Space Model for Word Meaning in Context

Katrin Erk;Sebastian Padó.
empirical methods in natural language processing (2008)

444 Citations

Vector Space Models of Word Meaning and Phrase Meaning: A Survey

Katrin E Erk.
Language and Linguistics Compass (2012)

309 Citations

The SALSA Corpus: a German Corpus Resource for Lexical Semantics

Aljoscha Burchardt;Katrin Erk;Anette Frank;Andrea Kowalski.
language resources and evaluation (2006)

254 Citations

Inclusive yet Selective: Supervised Distributional Hypernymy Detection

Stephen Roller;Katrin Erk;Gemma Boleda.
international conference on computational linguistics (2014)

189 Citations

A Simple, Similarity-based Model for Selectional Preferences

Katrin Erk.
meeting of the association for computational linguistics (2007)

185 Citations

SemEval-2007 Task 19: Frame Semantic Structure Extraction

Collin Baker;Michael Ellsworth;Katrin Erk.
meeting of the association for computational linguistics (2007)

173 Citations

A flexible, corpus-driven model of regular and inverse selectional preferences

Katrin Erk;Sebastian Padó;Ulrike Padó.
Computational Linguistics (2010)

129 Citations

Towards a Resource for Lexical Semantics: A Large German Corpus with Extensive Semantic Annotation

Katrin Erk;Andrea Kowalski;Sebastian Padó;Manfred Pinkal.
meeting of the association for computational linguistics (2003)

127 Citations

Exemplar-Based Models for Word Meaning in Context

Katrin Erk;Sebastian Pado.
meeting of the association for computational linguistics (2010)

119 Citations

SALTO - A Versatile Multi-Level Annotation Tool

Aljoscha Burchardt;Katrin Erk;Anette Frank;Andrea Kowalski.
language resources and evaluation (2006)

112 Citations

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