Papers with span identification

3 papers
Argument Mining as a Text-to-Text Generation Task (2024.eacl-long)

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Challenge: Argument Mining (AM) aims to uncover the argumentative structures within a text.
Approach: They propose a method that generates argumentatively annotated text using a pretrained encoder-decoder language model and a pre-trained decoder.
Outcome: The proposed method achieves state-of-the-art performance on three types of benchmark datasets.
Large language models are few-shot clinical information extractors (2022.emnlp-main)

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Challenge: a long-running goal of clinical NLP is the extraction of important variables trapped in clinical notes.
Approach: They propose to use large language models to tackle diverse clinical extraction tasks . they propose to reannote existing CASI datasets to compare their models with clinical text.
Outcome: The proposed models outperform existing models on few-shot clinical information extraction tasks.
LegalDiscourse: Interpreting When Laws Apply and To Whom (2024.naacl-long)

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Challenge: Recent advances in NLP and information retrieval have already enabled practical applications.
Approach: They propose a 'discourse' taxonomy for span-and-relation parsing of legal texts . they use a dataset of 602 state-level law paragraphs with 3,715 discourse spans and 1,671 relations to investigate the increase in liquor licenses and decrease in applicable laws.
Outcome: The proposed model performs poorly at span identification and relation classification, but lags far below human level.

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