Search Results for author: Maren Pielka

Found 8 papers, 3 papers with code

Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules

1 code implementation23 Oct 2023 Maren Pielka, Svetlana Schmidt, Rafet Sifa

We introduce a novel data generation method for contradiction detection, which leverages the generative power of large language models as well as linguistic rules.

Language Modelling Negation

Improving Natural Language Inference in Arabic using Transformer Models and Linguistically Informed Pre-Training

1 code implementation27 Jul 2023 Mohammad Majd Saad Al Deen, Maren Pielka, Jörn Hees, Bouthaina Soulef Abdou, Rafet Sifa

This paper addresses the classification of Arabic text data in the field of Natural Language Processing (NLP), with a particular focus on Natural Language Inference (NLI) and Contradiction Detection (CD).

named-entity-recognition Named Entity Recognition +2

sustain.AI: a Recommender System to analyze Sustainability Reports

1 code implementation15 May 2023 Lars Hillebrand, Maren Pielka, David Leonhard, Tobias Deußer, Tim Dilmaghani, Bernd Kliem, Rüdiger Loitz, Milad Morad, Christian Temath, Thiago Bell, Robin Stenzel, Rafet Sifa

We present sustainAI, an intelligent, context-aware recommender system that assists auditors and financial investors as well as the general public to efficiently analyze companies' sustainability reports.

Multi-Label Classification Recommendation Systems

Zero-Shot Text Matching for Automated Auditing using Sentence Transformers

no code implementations28 Oct 2022 David Biesner, Maren Pielka, Rajkumar Ramamurthy, Tim Dilmaghani, Bernd Kliem, Rüdiger Loitz, Rafet Sifa

Natural language processing methods have several applications in automated auditing, including document or passage classification, information retrieval, and question answering.

Information Retrieval Question Answering +5

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