36 citations · 42 across the 6 of their papers we have counts for
7 papers
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…
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…
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…
EUR-Lex-Sum: A Multi- and Cross-lingual Dataset for Long-form Summarization in the Legal Domain
Dennis Aumiller, Ashish Chouhan, Michael Gertz
Existing summarization datasets come with two main drawbacks: (1) They tend to focus on overly exposed domains, such as news articles or wiki-like texts, and (2) are primarily mono…
Klexikon: A German Dataset for Joint Summarization and Simplification
Dennis Aumiller, Michael Gertz
Traditionally, Text Simplification is treated as a monolingual translation task where sentences between source texts and their simplified counterparts are aligned for training. How…
BERT got a Date: Introducing Transformers to Temporal Tagging
Satya Almasian, Dennis Aumiller, Michael Gertz
Temporal expressions in text play a significant role in language understanding and correctly identifying them is fundamental to various retrieval and natural language processing sy…
Structural Text Segmentation of Legal Documents
Dennis Aumiller, Satya Almasian, Sebastian Lackner +1
The growing complexity of legal cases has lead to an increasing interest in legal information retrieval systems that can effectively satisfy user-specific information needs. Howeve…