Dominik Stammbach

Orcid: 0000-0003-1631-3020

According to our database1, Dominik Stammbach authored at least 21 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators.
CoRR, 2024

Automated Fact-Checking of Climate Change Claims with Large Language Models.
CoRR, 2024

Translating Legalese: Enhancing Public Understanding of Court Opinions with Legal Summarizers.
Proceedings of the Symposium on Computer Science and Law, 2024

2023
The Choice of Textual Knowledge Base in Automated Claim Checking.
ACM J. Data Inf. Qual., March, 2023

LePaRD: A Large-Scale Dataset of Judges Citing Precedents.
CoRR, 2023

Enhancing Public Understanding of Court Opinions with Automated Summarizers.
CoRR, 2023

Re-visiting Automated Topic Model Evaluation with Large Language Models.
CoRR, 2023

Enhancing Large Language Models with Climate Resources.
CoRR, 2023

Legal Extractive Summarization of U.S. Court Opinions.
Proceedings of the 1st Legal Information Retrieval meets Artificial Intelligence Workshop LIRAI 2023 co-located with the 34th ACM Hypertext Conference HT 2023, 2023

Revisiting Automated Topic Model Evaluation with Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The Law and NLP: Bridging Disciplinary Disconnects.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Environmental Claim Detection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
A Dataset for Detecting Real-World Environmental Claims.
CoRR, 2022

Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data.
CoRR, 2022

DocSCAN: Unsupervised Text Classification via Learning from Neighbors.
Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), 2022

2021
The Choice of Knowledge Base in Automated Claim Checking.
CoRR, 2021

2020
e-FEVER: Explanations and Summaries forAutomated Fact Checking.
Proceedings of the 2020 Truth and Trust Online Conference (TTO 2020), 2020

Legal Language Modeling with Transformers.
Proceedings of the Fourth Workshop on Automated Semantic Analysis of Information in Legal Text held online in conjunction with the 33rd International Conference on Legal Knowledge and Information Systems, 2020

Unsupervised Extraction of Workplace Rights and Duties from Collective Bargaining Agreements.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019
DOMLIN at SemEval-2019 Task 8: Automated Fact Checking exploiting Ratings in Community Question Answering Forums.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019


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