Elliott Ash

According to our database, Elliott Ash authored at least 35 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Detecting the influence of the Chinese guiding cases: a text reuse approach.

Benjamin M. Chen, Zhiyu Li, David Cai, Elliott Ash

Artif. Intell. Law, June, 2024

DIRAS: Efficient LLM-Assisted Annotation of Document Relevance in Retrieval Augmented Generation.

Jingwei Ni, Tobias Schimanski, Meihong Lin, Mrinmaya Sachan, Elliott Ash, Markus Leippold

CoRR, 2024

Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback.

Emilia Agis Lerner, Florian E. Dorner, Elliott Ash, Naman Goel

CoRR, 2024

Aligning Large Language Models with Diverse Political Viewpoints.

Dominik Stammbach, Philine Widmer, Eunjung Cho, Caglar Gulcehre, Elliott Ash

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Empirical Variability of Narrative Perceptions of Social Media Texts.

Joel Mire, Maria Antoniak, Elliott Ash, Andrew Piper, Maarten Sap

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Translating Legalese: Enhancing Public Understanding of Court Opinions with Legal Summarizers.

Elliott Ash, Aniket Kesari, Suresh Naidu, Lena Song, Dominik Stammbach

Proceedings of the Symposium on Computer Science and Law, 2024

Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering.

Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

LePaRD: A Large-Scale Dataset of Judicial Citations to Precedent.

Robert Mahari, Dominik Stammbach, Elliott Ash, Alex Pentland

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback.

Maria Lerner, Florian E. Dorner, Elliott Ash, Naman Goel

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Where Do People Tell Stories Online? Story Detection Across Online Communities.

Maria Antoniak, Joel Mire, Maarten Sap, Elliott Ash, Andrew Piper

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

The Choice of Textual Knowledge Base in Automated Claim Checking.

Dominik Stammbach, Boya Zhang, Elliott Ash

ACM J. Data Inf. Qual., March, 2023

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

Robert Mahari, Dominik Stammbach, Elliott Ash, Alex 'Sandy' Pentland

CoRR, 2023

Enhancing Public Understanding of Court Opinions with Automated Summarizers.

Elliott Ash, Aniket Kesari, Suresh Naidu, Lena Song, Dominik Stammbach

CoRR, 2023

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

Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash

CoRR, 2023

WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts.

Elliott Ash, Naman Goel, Nianyun Li, Claudia Marangon, Peiyao Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Legal Extractive Summarization of U.S. Court Opinions.

Emmanuel Bauer, Dominik Stammbach, Nianlong Gu, Elliott Ash

Proceedings of the 1st Legal Information Retrieval meets Artificial Intelligence Workshop LIRAI 2023 co-located with the 34th ACM Hypertext Conference HT 2023, 2023

Human-Guided Fair Classification for Natural Language Processing.

Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Revisiting Automated Topic Model Evaluation with Large Language Models.

Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The Law and NLP: Bridging Disciplinary Disconnects.

Robert Mahari, Dominik Stammbach, Elliott Ash, Alex Pentland

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Uncovering and Categorizing Social Biases in Text-to-SQL.

Yan Liu, Yan Gao, Zhe Su, Xiaokang Chen, Elliott Ash, Jian-Guang Lou

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

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

Dominik Stammbach, Maria Antoniak, Elliott Ash

CoRR, 2022

Media Slant is Contagious.

Philine Widmer, Sergio Galletta, Elliott Ash

CoRR, 2022

DocSCAN: Unsupervised Text Classification via Learning from Neighbors.

Dominik Stammbach, Elliott Ash

Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), 2022

Data-Centric Factors in Algorithmic Fairness.

Nianyun Li, Naman Goel, Elliott Ash

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes.

Nianlong Gu, Elliott Ash, Richard H. R. Hahnloser

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

The Choice of Knowledge Base in Automated Claim Checking.

Dominik Stammbach, Boya Zhang, Elliott Ash

CoRR, 2021

Evaluating document representations for content-based legal literature recommendations.

Malte Ostendorff, Elliott Ash, Terry Ruas, Bela Gipp, Julián Moreno Schneider, Georg Rehm

Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021

In-group bias in the Indian judiciary: Evidence from 5.5 million criminal cases.

Aditi Bhowmick, Paul Novosad, Samuel Asher, Elliott Ash, Bilal Siddiqi, Christoph Goessman, Daniel Chen, Tanaya Devi

Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021

Machine Extraction of Tax Laws from Legislative Texts.

Elliott Ash, Malka Guillot, Luyang Han

Proceedings of the Natural Legal Language Processing Workshop 2021, 2021

2020

A research-based ranking of public policy schools.

Elliott Ash, Miguel Urquiola

Scientometrics, 2020

e-FEVER: Explanations and Summaries forAutomated Fact Checking.

Dominik Stammbach, Elliott Ash

Proceedings of the 2020 Truth and Trust Online Conference (TTO 2020), 2020

Entropy in Legal Language.

Roland Friedrich, Mauro Luzzatto, Elliott Ash

Proceedings of the Natural Legal Language Processing Workshop 2020 co-located with the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020), 2020

Legal Language Modeling with Transformers.

Lazar Peric, Stefan Mijic, Dominik Stammbach, Elliott Ash

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.

Elliott Ash, Jeff Jacobs, Bentley MacLeod, Suresh Naidu, Dominik Stammbach

Proceedings of the 20th International Conference on Data Mining Workshops, 2020