| Challenge: | Keyphrases are short phrases that describe a text and have been used for many applications. |
| Approach: | They present a dataset for multilingual keyphrase generation in the legal domain . it is derived from legal judgments from the Court of Justice of the European Union . they run multilingual models on the corpus and analyze the results . |
| Outcome: | The proposed dataset shows that it is better than existing models and can capture larger input context. |
Similar Papers
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training (2022.findings-naacl)
Copied to clipboard
| Challenge: | Existing studies on keyphrase generation on non-English languages haven’t been vastly investigated. |
| Approach: | They propose a retrieval-augmented method for multilingual keyphrase generation that leverages keyphrase annotations in English datasets to facilitate generating keyphrases in low-resource languages. |
| Outcome: | The proposed model outperforms baselines on non-English keyphrase generation datasets and the proposed model is scalable. |
EuroVerdict: A Multilingual Dataset for Verdict Generation Against Misinformation (2025.findings-acl)
Copied to clipboard
| Challenge: | a global issue that shapes public discourse shapes opinion and decision-making . many multilingual work has focused on claim verification rather than generating explanatory verdicts . |
| Approach: | They propose a multilingual dataset designed for verdict generation covering eight European languages. |
| Outcome: | The EuroVerdict dataset covers claims, manual verdicts, and supporting evidence . it is compared with other datasets in eight European languages . |
EUR-Lex-Sum: A Multi- and Cross-lingual Dataset for Long-form Summarization in the Legal Domain (2022.emnlp-main)
Copied to clipboard
| Challenge: | Existing summarization datasets focus on overly exposed domains and are primarily monolingual with few multilingual datasets. |
| Approach: | They propose a new summarization dataset based on manually curated document summaries from the European Union law platform EUR-Lex. |
| Outcome: | The proposed dataset is based on document summaries of legal acts from the European Union law platform (EUR-Lex). |
MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer (2021.emnlp-main)
Copied to clipboard
| Challenge: | MULTI-EURLEX is a dataset for topic classification of EU legal documents . fine-tuning a multilingually pretrained model in a single source language leads to catastrophic forgetting of multilingual knowledge and poor zero-shot transfer to other languages. |
| Approach: | They propose to use the dataset as a testbed for zero-shot cross-lingual transfer to exploit annotated training documents in one language to classify documents in another language. |
| Outcome: | The proposed model can be used to classify EU legal documents in other languages without a single source language and retain multilingual knowledge. |
Zero-Shot Keyphrase Generation: Investigating Specialized Instructions and Multi-sample Aggregation on Large Language Models (2025.findings-naacl)
Copied to clipboard
| Challenge: | Keyphrase generation is a long-standing NLP task for automatically generating keyphrases for a given document. |
| Approach: | They propose to use open-source instruction-tuned LLMs for keyphrase generation . they propose task-specific counterparts to self-consistency-style strategies for LLM . |
| Outcome: | The proposed model improves on existing models and shows significant benefits over baselines. |
LexKeyPlan: Planning with Keyphrases and Retrieval Augmentation for Legal Text Generation: A Case Study on European Court of Human Rights Cases (2025.acl-short)
Copied to clipboard
| Challenge: | Large language models excel at text generation but often produce hallucinations due to their sole reliance on parametric knowledge. |
| Approach: | They propose a framework that integrates anticipatory planning into legal text generation by generating keyphrases outlining future content serving as forward-looking plan. |
| Outcome: | The proposed framework improves factual accuracy and coherence by retrieving information aligned with the intended content. |
LexCLiPR: Cross-Lingual Paragraph Retrieval from Legal Judgments (2025.acl-long)
Copied to clipboard
| Challenge: | Existing work on IR focus on retrieving entire cases rather than precise, paragraph-level information. |
| Approach: | They propose a cross-lingual dataset for paragraph-level retrieval from ECtHR judgments . they evaluate retrieval models in a zero-shot setting and use multilingual case law guides . |
| Outcome: | The proposed model excels in cross-lingual retrieval, while siamese architectures are better suited for monolingual tasks. |
The EuroPat Corpus: A Parallel Corpus of European Patent Data (2022.lrec-1)
Copied to clipboard
| Challenge: | a new corpus of patent-specific parallel data is available for 6 official European languages paired with English: German, Spanish, French, Croatian, Norwegian, and Polish. |
| Approach: | They present a patent-specific corpus of parallel data for 6 official European languages paired with English: German, Spanish, French, Croatian, Norwegian, and Polish. |
| Outcome: | The filtered corpus ranges in size from 51 million sentences (Spanish-English) to 154k sentences (Croatian-English), with the unfiltered (raw) corpus being up to 2 times larger. |
The DReaM Corpus: A Multilingual Annotated Corpus of Grammars for the World’s Languages (2020.lrec-1)
Copied to clipboard
| Challenge: | Until recently, language descriptions were available in paper form only, with indexes as the only search aid. |
| Approach: | They propose to digitize a multilingual corpus of language descriptions and annotate it with various meta, word, and text attributes to make searching and analysis easier and more useful. |
| Outcome: | The proposed corpus is searchable through a couple of well-established corpus infrastructures. |
Keyphrase Generation for Scientific Document Retrieval (2020.acl-main)
Copied to clipboard
| Challenge: | Sequence-to-sequence models have been used to generate keyphrases, but it is unclear whether they are reliable enough for document retrieval. |
| Approach: | They propose a framework for extrinsic evaluation that allows for a better understanding of the limitations of keyphrase generation models. |
| Outcome: | The proposed models improve retrieval performance by supplementing documents with keyphrases that are not present in the source text and generalizing models across domains. |