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researcher

Michael Gertz

Heidelberg University

14 papers hereh-index 397k citations261 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author13

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CL10
  • cs.IR2
  • cs.HC1
  • physics.atom-ph1
affiliations
  • Heidelberg University
Homepage
same name
  • Michael Gertz — 6 papers, h 1
  • Michael Gertz — 1 paper
  • Michael Gertz — 1 paper, h 2
  • Michael Gertz — 1 paper, h 17
  • Michael Gertz — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedStructural Text Segmentation of Legal Documents

36 citations · 80 across the 12 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CL2023★ 1 cited

Evaluating Factual Consistency of Texts with Semantic Role Labeling

Jing Fan, Dennis Aumiller, Michael Gertz

Automated evaluation of text generation systems has recently seen increasing attention, particularly checking whether generated text stays truthful to input sources. Existing metho…

cs.CL2023★ 1 cited

CQE: A Comprehensive Quantity Extractor

Satya Almasian, Vivian Kazakova, Philip Göldner +1

Quantities are essential in documents to describe factual information. They are ubiquitous in application domains such as finance, business, medicine, and science in general. Compa…

cs.CL2023

On the State of German (Abstractive) Text Summarization

Dennis Aumiller, Jing Fan, Michael Gertz

With recent advancements in the area of Natural Language Processing, the focus is slowly shifting from a purely English-centric view towards more language-specific solutions, inclu…

cs.CL2023★ 1 cited

UniHD at TSAR-2022 Shared Task: Is Compute All We Need for Lexical Simplification?

Dennis Aumiller, Michael Gertz

Previous state-of-the-art models for lexical simplification consist of complex pipelines with several components, each of which requires deep technical knowledge and fine-tuned int…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.