Martin Schmitt

About Martin Schmitt

Martin Schmitt, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Ludwig-Maximilians-Universität München, specializes in the field of Deep Learning for NLP, Relation Inference in Context, Knowledge Graphs, Lexical Semantics, Text Generation from Knowledge Graphs.

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

Position information in transformers: An overview

Modeling Graph Structure via Relative Position for Text Generation from Knowledge Graphs

Ranking vs. classifying: Measuring knowledge base completion quality

Language models for lexical inference in context

Improving visual reasoning by exploiting the knowledge in texts

Investigating pretrained language models for graph-to-text generation

Increasing learning efficiency of self-attention networks through direct position interactions, learnable temperature, and convoluted attention

Martin Schmitt Information

University

Position

PhD candidate in natural language processing CIS /

Citations(all)

536

Citations(since 2020)

533

Cited By

75

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Martin Schmitt Skills & Research Interests

Deep Learning for NLP

Relation Inference in Context

Knowledge Graphs

Lexical Semantics

Text Generation from Knowledge Graphs

Top articles of Martin Schmitt

Position information in transformers: An overview

2022/9/1

Modeling Graph Structure via Relative Position for Text Generation from Knowledge Graphs

2021/6

Ranking vs. classifying: Measuring knowledge base completion quality

arXiv preprint arXiv:2102.06145

2021/2/2

Martin Schmitt
Martin Schmitt

H-Index: 3

Benjamin Roth
Benjamin Roth

H-Index: 10

Language models for lexical inference in context

arXiv preprint arXiv:2102.05331

2021/2/10

Martin Schmitt
Martin Schmitt

H-Index: 3

Hinrich Schütze
Hinrich Schütze

H-Index: 48

Improving visual reasoning by exploiting the knowledge in texts

arXiv preprint arXiv:2102.04760

2021

Investigating pretrained language models for graph-to-text generation

NLP4ConvAI, EMNLP 2021

2021

Increasing learning efficiency of self-attention networks through direct position interactions, learnable temperature, and convoluted attention

2020

See List of Professors in Martin Schmitt University(Ludwig-Maximilians-Universität München)

Co-Authors

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