Katrin Erk

3.9k citations
84 papers · 2.0k indexed · h-index 26

Katrin Erk

83 papers receiving 1.8k citations

Peers

Katrin Erk
Comparison fields: 5 of 67
  • Artificial Intelligence 1.8k
  • Cultural Studies 114
  • Language and Linguistics 119
  • Computer Vision and Pattern Recognition 146
  • Experimental and Cognitive Psychology 75
Replace Diana McCarthy with:
Diana McCarthy United Kingdom
Ryan Cotterell United States
Georgiana Dinu Germany
Gemma Boleda Spain
Sebastian Padó Germany
Magnus Sahlgren Sweden
Germán Kruszewski Italy
Daniel Zeman Czechia
John B. Lowe United States
Patrick Juola United States
Katrin Erk relative to Diana McCarthy United Kingdom Diana McCarthy's profile →
Citations per field
00.5×1.5×1.8×
Diana McCarthy · 1×
Citations per year

Countries citing papers authored by Katrin Erk

Since Specialization
Citations

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

Fields of papers citing papers by Katrin Erk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Katrin Erk, 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 Katrin Erk Line = papers co-authored together Katrin Erk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20232
3 20221
4 202023
5
Distributional Semantic Features as Semantic Primitives - Or Not.
20155
6
Inclusive yet Selective: Supervised Distributional Hypernymy Detection
201485
7 201411
8
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form
201341
9
NAACL HLT 2013 Tutorial Abstracts
20133
10
Simple Unsupervised Grammar Induction from Raw Text with Cascaded Finite State Models
201136
11
Exemplar-Based Models for Word Meaning in Context
201058
12
Crouching Dirichlet, Hidden Markov Model: Unsupervised POS Tagging with Context Local Tag Generation
201012
13 201016
14
Flexible, Corpus-Based Modelling of Human Plausibility Judgements
200720
15
A Simple, Similarity-based Model for Selectional Preferences
200792
16
SALTO - A Versatile Multi-Level Annotation Tool
200646
17
Shalmaneser - A Toolchain For Shallow Semantic Parsing
200633
18 2006116
19
A Powerful and Versatile XML Format for Representing Role-semantic Annotation
200431
20
Querying Both Time-aligned and Hierarchical Corpora with NXT Search
200415

About Katrin Erk

Katrin Erk is a scholar working on Artificial Intelligence, Cultural Studies, Language and Linguistics, Museology and Computer Networks and Communications, having authored 84 papers that have together received 2.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (69 papers), Topic Modeling (65 papers), Speech and dialogue systems (18 papers), Semantic Web and Ontologies (14 papers), Advanced Text Analysis Techniques (8 papers), Bayesian Modeling and Causal Inference (5 papers), Language and cultural evolution (5 papers) and Logic, Reasoning, and Knowledge (4 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Cultural Studies (114 citations), Language and Linguistics (119 citations), Computer Vision and Pattern Recognition (146 citations) and Experimental and Cognitive Psychology (75 citations). Katrin Erk has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Sebastian Padó, Diana McCarthy, Aljoscha Burchardt, Anette Frank, Stephen Roller, Gemma Boleda, Raymond J. Mooney, Pengxiang Cheng, Michael Ellsworth and Collin F. Baker. Their work appears in journals such as Language Resources and Evaluation, Computational Linguistics, Topics in Cognitive Science, Natural Language Engineering and Nature Computational Science.

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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