Search Results for author: Markus Leippold

Found 7 papers, 4 papers with code

A Dataset for Detecting Real-World Environmental Claims

1 code implementation1 Sep 2022 Dominik Stammbach, Nicolas Webersinke, Julia Anna Bingler, Mathias Kraus, Markus Leippold

In this paper, we introduce an expert-annotated dataset for detecting real-world environmental claims made by listed companies.

Towards Climate Awareness in NLP Research

1 code implementation10 May 2022 Daniel Hershcovich, Nicolas Webersinke, Mathias Kraus, Julia Anna Bingler, Markus Leippold

We argue that this deficiency is one of the reasons why very few publications in NLP report key figures that would allow a more thorough examination of environmental impact.

ClimateBert: A Pretrained Language Model for Climate-Related Text

1 code implementation22 Oct 2021 Nicolas Webersinke, Mathias Kraus, Julia Anna Bingler, Markus Leippold

Over the recent years, large pretrained language models (LM) have revolutionized the field of natural language processing (NLP).

Fact Checking Language Modelling +4

Generating Fact Checking Summaries for Web Claims

1 code implementation EMNLP (WNUT) 2020 Rahul Mishra, Dhruv Gupta, Markus Leippold

SUMO further generates an extractive summary by presenting a diversified set of sentences from the documents that explain its decision on the correctness of the textual claim.

Fact Checking Word Embeddings

MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching

no code implementations7 Oct 2020 Rahul Mishra, Piyush Yadav, Remi Calizzano, Markus Leippold

On the other hand, more recent works that use headline guided attention to learn a headline derived contextual representation of the news body also result in convoluting overall representation due to the news body's lengthiness.

text similarity Word Embeddings

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