Erik Velldal

1.5k citations
45 papers · 525 indexed · h-index 14

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Speech and dialogue systems
    • Sentiment Analysis and Opinion Mining
    • Text Readability and Simplification

Papers in

    • Topic Modeling 34
    • Natural Language Processing Techniques 30
    • Speech and dialogue systems 6
    • Sentiment Analysis and Opinion Mining 6
    • Advanced Text Analysis Techniques 6
    • Authorship Attribution and Profiling 5

Erik Velldal

41 papers receiving 462 citations

Peers

Erik Velldal
Comparison fields: 5 of 45
  • Artificial Intelligence 467
  • General Social Sciences 27
  • Cultural Studies 57
  • Communication 22
  • Linguistics and Language 8
Replace Nina Tahmasebi with:
Nina Tahmasebi Sweden
Lilja Øvrelid Norway
Ioan-Iovitz Popescu Romania
Valery Solovyev Russia
Simon Hengchen Sweden
Tommaso Caselli Netherlands
Renfen Hu China
T. Meder Netherlands
Fotis Jannidis Germany
Joseph King United States
Erik Velldal relative to Nina Tahmasebi Sweden Nina Tahmasebi's profile →
Citations per field
00.5×1.7×
Nina Tahmasebi · 1×
Citations per year

Countries citing papers authored by Erik Velldal

Since Specialization
Citations

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

Fields of papers citing papers by Erik Velldal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20231
4 202223
5 20224
6 20226
7
Large-Scale Contextualised Language Modelling for Norwegian.
20211
8
A Fine-grained Sentiment Dataset for Norwegian
20192
9
A corpus of clinical practice guidelines annotated with the importance of recommendations
20163
10
Off-Road LAF: Encoding and Processing Annotations in NLP Workflows
20145
11
UiO1: Constituent-Based Discriminative Ranking for Negation Resolution
201221
12
UiO 2: Sequence-labeling Negation Using Dependency Features
201221
13
Factuality Detection on the Cheap: Inferring Factuality for Increased Precision in Detecting Negated Events
20121
14 201118
15
Detecting uncertainty in biomedical literature: a simple disambiguation approach using sparse random indexing.
20106
16
Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules
201020
17
Syntactic Scope Resolution in Uncertainty Analysis
201022
18
Towards hybrid quality-oriented machine translation - on linguistics and probabilities in MT.
200727
19
Maximum Entropy Models for Realization Ranking
200526
20
Som å kapp-ete med trollet? Towards MRS-based Norwegian-English machine translation
200426

About Erik Velldal

Erik Velldal is a scholar working on Artificial Intelligence, General Social Sciences, Cultural Studies, Information Systems and Management and Communication, having authored 45 papers that have together received 525 indexed citations. Recurring topics across this work include Topic Modeling (34 papers), Natural Language Processing Techniques (30 papers), Speech and dialogue systems (6 papers), Sentiment Analysis and Opinion Mining (6 papers), Advanced Text Analysis Techniques (6 papers), Biomedical Text Mining and Ontologies (5 papers), Authorship Attribution and Profiling (5 papers) and Language and cultural evolution (4 papers). The work is most often cited by research in Artificial Intelligence (467 citations), General Social Sciences (27 citations), Cultural Studies (57 citations), Communication (22 citations) and Linguistics and Language (8 citations). Erik Velldal has collaborated with scholars based in Norway, Germany and United States. Frequent co-authors include Lilja Øvrelid, Stephan Oepen, Andrey Kutuzov, Jonathon Read, Dan Flickinger, Jan Tore Lønning, Hugo L. Hammer, Jeremy Barnes, Rodrigo Agerri and Jan P. Buchmann. Their work appears in journals such as Language Resources and Evaluation, Computational Linguistics, Journal of Biomedical Semantics, IEEE Transactions on Medical Imaging and Machine Translation.

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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