surrey-nlp/PLOD-AbbreviationDetection

This repository contains the PLOD Dataset for Abbreviation Detection released with our LREC 2022 publication

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This dataset helps researchers and NLP practitioners automatically identify abbreviations and their full forms within scientific documents. It provides a large collection of text segments where abbreviations like "NLP" are linked to their expanded versions, such as "Natural Language Processing." Researchers building tools for tasks like information retrieval or machine translation would use this to improve their models' understanding of specialized texts.

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Use this if you need a large, pre-annotated dataset to train or evaluate machine learning models for detecting abbreviations and their long forms in scientific text.

Not ideal if you need a plug-and-play tool for real-time abbreviation expansion, as this project provides a dataset for model training, not a ready-to-use application.

scientific-research natural-language-processing text-mining information-extraction academic-writing
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Last pushed

Sep 25, 2022

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