Ilias Chalkidis

Orcid: 0000-0002-0706-7772

According to our database1, Ilias Chalkidis authored at least 49 papers between 2017 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Attention-Driven Dropout: A Simple Method to Improve Self-supervised Contrastive Sentence Embeddings.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Llama meets EU: Investigating the European political spectrum through the lens of LLMs.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Hyperbolic Contrastive Learning for Document Representations - A Multi-View Approach with Paragraph-level Similarities.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

MultiLegalPile: A 689GB Multilingual Legal Corpus.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
On the Interplay between Fairness and Explainability.
CoRR, 2023

SCALE: Scaling up the Complexity for Advanced Language Model Evaluation.
CoRR, 2023

PokemonChat: Auditing ChatGPT for Pokémon Universe Knowledge.
CoRR, 2023

Retrieval-augmented Multi-label Text Classification.
CoRR, 2023

ChatGPT may Pass the Bar Exam soon, but has a Long Way to Go for the LexGLUE benchmark.
CoRR, 2023

LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Regulation and NLP (RegNLP): Taming Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Rather a Nurse than a Physician - Contrastive Explanations under Investigation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical Text.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification.
CoRR, 2022

Realistic Zero-Shot Cross-Lingual Transfer in Legal Topic Classification.
Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

An Empirical Study on Cross-X Transfer for Legal Judgment Prediction.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Revisiting Transformer-based Models for Long Document Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

FiNER: Financial Numeric Entity Recognition for XBRL Tagging.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Challenges and Strategies in Cross-Cultural NLP.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Legal-Tech Open Diaries: Lesson learned on how to develop and deploy light-weight models in the era of humongous Language Models.
Proceedings of the Natural Legal Language Processing Workshop, 2022

Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer.
Proceedings of the Natural Legal Language Processing Workshop, 2022

2021
Deep neural networks for information mining from legal texts
PhD thesis, 2021

Neural Contract Element Extraction Revisited.
CoRR, 2021

Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Regulatory Compliance through Doc2Doc Information Retrieval: A case study in EU/UK legislation where text similarity has limitations.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Multi-granular Legal Topic Classification on Greek Legislation.
Proceedings of the Natural Legal Language Processing Workshop 2021, 2021

Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark.
Proceedings of the Natural Legal Language Processing Workshop 2021, 2021

2020
LEGAL-BERT: The Muppets straight out of Law School.
CoRR, 2020

GREEK-BERT: The Greeks visiting Sesame Street.
Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

LEGAL-BERT: "Preparing the Muppets for Court'".
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations.
Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, 2020

2019
Extreme Multi-Label Legal Text Classification: A case study in EU Legislation.
CoRR, 2019

Deep learning in law: early adaptation and legal word embeddings trained on large corpora.
Artif. Intell. Law, 2019

Towards a Decentralized, Trusted, Intelligent and Linked Public Sector: A Report from the Greek Trenches.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Large-Scale Multi-Label Text Classification on EU Legislation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Neural Legal Judgment Prediction in English.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Named Entity Recognition, Linking and Generation for Greek Legislation.
Proceedings of the Legal Knowledge and Information Systems, 2018

Obligation and Prohibition Extraction Using Hierarchical RNNs.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
A Deep Learning Approach to Contract Element Extraction.
Proceedings of the Legal Knowledge and Information Systems, 2017

Extracting contract elements.
Proceedings of the 16th edition of the International Conference on Artificial Intelligence and Law, 2017

Modeling and Querying Greek Legislation Using Semantic Web Technologies.
Proceedings of the Semantic Web - 14th International Conference, 2017


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