Laura Kallmeyer

About Laura Kallmeyer

Laura Kallmeyer, With an exceptional h-index of 24 and a recent h-index of 15 (since 2020), a distinguished researcher at Heinrich-Heine-Universität Düsseldorf, specializes in the field of Computational Linguistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models

Identifying Semantic Argument Types in Predication and Copredication Contexts: A Zero-Shot Cross-Lingual Approach

Improving Low-resource RRG Parsing with Structured Gloss Embeddings

Towards syntax-aware pretraining and prompt engineering for knowledge retrieval from large language models

Decoding prompt syntax: Analysing its impact on knowledge retrieval in large language models

Data-Driven Frame-Semantic Parsing with Tree Wrapping Grammar

Formalization of RRG syntax

Predicting word learning from feedback-locked event-related potentials during learning with Feed-forward neural networks-the role of data preprocessing

Laura Kallmeyer Information

University

Position

Professor of Computational Linguistics

Citations(all)

2371

Citations(since 2020)

851

Cited By

1960

hIndex(all)

24

hIndex(since 2020)

15

i10Index(all)

58

i10Index(since 2020)

22

Email

University Profile Page

Heinrich-Heine-Universität Düsseldorf

Google Scholar

View Google Scholar Profile

Laura Kallmeyer Skills & Research Interests

Computational Linguistics

Top articles of Laura Kallmeyer

Title

Journal

Author(s)

Publication Date

Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models

arXiv preprint arXiv:2404.01992

Stephan Linzbach

Dimitar Dimitrov

Laura Kallmeyer

Kilian Evang

Hajira Jabeen

...

2024/4/2

Identifying Semantic Argument Types in Predication and Copredication Contexts: A Zero-Shot Cross-Lingual Approach

Deniz Ekin Yavas

Laura Kallmeyer

Rainer Osswald

Elisabetta Ježek

Marta Ricchiardi

...

2023/9

Improving Low-resource RRG Parsing with Structured Gloss Embeddings

Roland Eibers

Kilian Evang

Laura Kallmeyer

2023/5

Towards syntax-aware pretraining and prompt engineering for knowledge retrieval from large language models

Stefan Dietze

Hajira Jabeen

Laura Kallmeyer

Stephan Linzbach

2023

Decoding prompt syntax: Analysing its impact on knowledge retrieval in large language models

Stephan Linzbach

Tim Tressel

Laura Kallmeyer

Stefan Dietze

Hajira Jabeen

2023/4/30

Data-Driven Frame-Semantic Parsing with Tree Wrapping Grammar

Tatiana Bladier

Laura Kallmeyer

Kilian Evang

2023/6

Formalization of RRG syntax

The Cambridge handbook of Role and Reference Grammar

Laura Kallmeyer

Rainer Osswald

2023

Predicting word learning from feedback-locked event-related potentials during learning with Feed-forward neural networks-the role of data preprocessing

Christine Albrecht

Christian Bellebaum

Abhijeet Gupta

Laura Kallmeyer

Ruben van de Vijver

...

2023/6

Using Masked Language Model Probabilities of Connectives for Stance Detection in English Discourse

Regina Stodden

Laura Kallmeyer

Lea Kawaletz

Heidrun Dorgeloh

2023/12

Unsupervised Semantic Frame Induction Revisited

Younes Samih

Laura Kallmeyer

2023/6

Multilingual Nonce Dependency Treebanks: Understanding how LLMs represent and process syntactic structure

arXiv preprint arXiv:2311.07497

David Arps

Laura Kallmeyer

Younes Samih

Hassan Sajjad

2023/11/13

DEplain: A German parallel corpus with intralingual translations into plain language for sentence and document simplification

arXiv preprint arXiv:2305.18939

Regina Stodden

Omar Momen

Laura Kallmeyer

2023/5/30

Increasing the performance of cognitively inspired data-efficient language models via implicit structure building

arXiv preprint arXiv:2310.20589

Omar Momen

David Arps

Laura Kallmeyer

2023/10/31

An analysis of attention in German verbal idiom disambiguation

Rafael Ehren

Laura Kallmeyer

Timm Lichte

2022

TS-ANNO: an annotation tool to build, annotate and evaluate text simplification corpora

Regina Stodden

Laura Kallmeyer

2022/5

A Frame-Based Model of Inherent Polysemy, Copredication and Argument Coercion

CogALEX (Cognitive Aspects of the Lexicon)

Long Chen

Laura Kallmeyer

Rainer Osswald

2022/11/20

Probing for constituency structure in neural language models

arXiv preprint arXiv:2204.06201

David Arps

Younes Samih

Laura Kallmeyer

Hassan Sajjad

2022/4/13

Improving Low-resource RRG Parsing with Cross-lingual Self-training

Kilian Evang

Laura Kallmeyer

Jakub Waszczuk

Kilu von Prince

Tatiana Bladier

...

2022/10

RRGparbank: A parallel role and reference grammar treebank

Tatiana Bladier

Kilian Evang

Valeria Generalova

Zahra Ghane

Laura Kallmeyer

...

2022/6

Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021)

Kilian Evang

Laura Kallmeyer

Rainer Osswald

Jakub Waszczuk

Torsten Zesch

2021

See List of Professors in Laura Kallmeyer University(Heinrich-Heine-Universität Düsseldorf)

Co-Authors

H-index: 38
Thamar Solorio

Thamar Solorio

University of Houston

H-index: 30
Giorgio Satta

Giorgio Satta

Università degli Studi di Padova

H-index: 25
Mohammed Attia

Mohammed Attia

Dublin City University

H-index: 20
Frank Richter

Frank Richter

Goethe-Universität Frankfurt am Main

H-index: 19
Younes Samih, PhD

Younes Samih, PhD

Heinrich-Heine-Universität Düsseldorf

H-index: 14
Andreas van Cranenburgh

Andreas van Cranenburgh

Rijksuniversiteit Groningen

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