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+ Controlled Text Reduction
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+ Aviv Slobodkin, Paul Roit, Eran Hirsch, Ori Ernst, Ido Dagan, 2022. [PDF](https://arxiv.org/abs/2210.13449)
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+
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+ **How to use?**
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+
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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+
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+ tokenizer = AutoTokenizer.from_pretrained("biu-nlp-led-base-controlled-text-reduction")
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+ model = AutoModelForSeq2SeqLM.from_pretrained("biu-nlp-led-base-controlled-text-reduction")
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+ ```
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+
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+ The original repo is [here](https://github.com/lovodkin93/Controlled_Text_Reduction).
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+ If you find our work useful, please cite the paper as:
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+
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+ ```python
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+ @misc{https://doi.org/10.48550/arxiv.2210.13449,
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+ doi = {10.48550/ARXIV.2210.13449},
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+
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+ url = {https://arxiv.org/abs/2210.13449},
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+
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+ author = {Slobodkin, Aviv and Roit, Paul and Hirsch, Eran and Ernst, Ori and Dagan, Ido},
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+
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+ keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
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+ title = {Controlled Text Reduction},
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+ publisher = {arXiv},
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+ year = {2022},
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+ copyright = {Creative Commons Zero v1.0 Universal}
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+ }
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+ ```