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- ---
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- license: apache-2.0
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+ ---
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+ license: apache-2.0
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+ ---
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+
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+ # FEWS and Semcor Dataset for Word Sense Disambiguation (WSD) hanling corner cases which are difficult to disambiguate by GPT 4 Turbo Model.
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+ This repository contains a formatted and cleaned version of the FEWS and Semcor dataset, specifically arranged for model fine-tuning for Word Sense Disambiguation (WSD) tasks.
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+
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+ ## Dataset Description
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+
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+ The FEWS and Semcor dataset has been preprocessed and formatted to be directly usable for training and fine-tuning language models for word sense disambiguation. Each ambiguous word in the context is enclosed with `<WSD>` tags to clearly indicate which word requires disambiguation.
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+
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+ For example:
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+ ```
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+ Original: The bank had a strong security system.
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+ Tagged: The <WSD>bank</WSD> had a strong security system.
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+ ```
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+
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+ This tagging system allows models to focus on the specific ambiguous words during training and inference.
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+
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+ ## Data Format
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+
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+ The dataset is organized to suit for the alpaca_prompt:
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+ - Instruction
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+ - Input
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+ - Output
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+
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+
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+ ## Usage
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+
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+ This dataset is intended for:
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+
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+ 1. Fine-tuning language models for word sense disambiguation tasks
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+ 2. Evaluating WSD performance
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+ 3. Research on cross-lingual semantic disambiguation
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+
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+ ## Citation
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+ If you use this dataset in your research, please cite the original FEWS dataset.
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+
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+ @inproceedings{
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+ blevins2021fews,
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+ title={FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary},
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+ author={Terra Blevins and Mandar Joshi and Luke Zettlemoyer},
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+ booktitle={Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics},
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+ year={2021},
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+ url={https://blvns.github.io/papers/eacl2021.pdf}
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+ }
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+
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+
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+ @inproceedings{miller1994using,
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+ title={Using a semantic concordance for sense identification},
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+ author={Miller, George A and Chodorow, Martin and Landes, Shari and Leacock, Claudia and Thomas, Robert G},
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+ booktitle={Human Language Technology: Proceedings of a Workshop held at Plainsboro, New Jersey, March 8-11, 1994},
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+ year={1994}
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+ }
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+
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+ ## License
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+
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+ This dataset is made available under the Apache License 2.0.