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06/15/2023
SCALE: Scaling up the Complexity for Advanced Language Model Evaluation
Recent strides in Large Language Models (LLMs) have saturated many NLP b...
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06/05/2023
PokemonChat: Auditing ChatGPT for Pokémon Universe Knowledge
The recently released ChatGPT model demonstrates unprecedented capabilit...
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06/03/2023
MultiLegalPile: A 689GB Multilingual Legal Corpus
Large, high-quality datasets are crucial for training Large Language Mod...
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05/25/2023
Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning
Learning quality document embeddings is a fundamental problem in natural...
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05/22/2023
Retrieval-augmented Multi-label Text Classification
Multi-label text classification (MLC) is a challenging task in settings ...
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05/12/2023
LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development
In this work, we conduct a detailed analysis on the performance of legal...
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05/09/2023
An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical Text
Standard methods for multi-label text classification largely rely on enc...
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01/30/2023
LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain
Lately, propelled by the phenomenal advances around the transformer arch...
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11/02/2022
Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer
Pre-trained Transformers currently dominate most NLP tasks. They impose,...
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10/24/2022
Legal-Tech Open Diaries: Lesson learned on how to develop and deploy light-weight models in the era of humongous Language Models
In the era of billion-parameter-sized Language Models (LMs), start-ups h...
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10/11/2022
An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification
Non-hierarchical sparse attention Transformer-based models, such as Long...
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09/25/2022
An Empirical Study on Cross-X Transfer for Legal Judgment Prediction
Cross-lingual transfer learning has proven useful in a variety of Natura...
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06/08/2022
Realistic Zero-Shot Cross-Lingual Transfer in Legal Topic Classification
We consider zero-shot cross-lingual transfer in legal topic classificati...
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04/14/2022
Revisiting Transformer-based Models for Long Document Classification
The recent literature in text classification is biased towards short tex...
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03/18/2022
Challenges and Strategies in Cross-Cultural NLP
Various efforts in the Natural Language Processing (NLP) community have ...
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03/15/2022
Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting
In document classification for, e.g., legal and biomedical text, we ofte...
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03/14/2022
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing
We present a benchmark suite of four datasets for evaluating the fairnes...
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03/12/2022
FiNER: Financial Numeric Entity Recognition for XBRL Tagging
Publicly traded companies are required to submit periodic reports with e...
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10/03/2021
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
Law, interpretations of law, legal arguments, agreements, etc. are typic...
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10/02/2021
Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark
In many jurisdictions, the excessive workload of courts leads to high de...
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09/30/2021
Multi-granular Legal Topic Classification on Greek Legislation
In this work, we study the task of classifying legal texts written in th...
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09/02/2021
MultiEURLEX – A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer
We introduce MULTI-EURLEX, a new multilingual dataset for topic classifi...
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03/24/2021
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases
Interpretability or explainability is an emerging research field in NLP....
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01/26/2021
Regulatory Compliance through Doc2Doc Information Retrieval: A case study in EU/UK legislation where text similarity has limitations
Major scandals in corporate history have urged the need for regulatory c...
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01/12/2021
Neural Contract Element Extraction Revisited
We investigate contract element extraction. We show that LSTM-based enco...
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10/12/2020
Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations
Although BERT is widely used by the NLP community, little is known about...
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10/06/2020
LEGAL-BERT: The Muppets straight out of Law School
BERT has achieved impressive performance in several NLP tasks. However, ...
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10/04/2020
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels
Large-scale Multi-label Text Classification (LMTC) has a wide range of N...
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08/27/2020
GREEK-BERT: The Greeks visiting Sesame Street
Transformer-based language models, such as BERT and its variants, have a...
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06/05/2019
Neural Legal Judgment Prediction in English
Legal judgment prediction is the task of automatically predicting the ou...
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06/05/2019
Large-Scale Multi-Label Text Classification on EU Legislation
We consider Large-Scale Multi-Label Text Classification (LMTC) in the le...
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05/26/2019
Extreme Multi-Label Legal Text Classification: A case study in EU Legislation
We consider the task of Extreme Multi-Label Text Classification (XMTC) i...
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05/10/2018