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# CompactIE
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Source code for NAACL 2022 paper ["CompactIE: Compact Facts in Open Information Extraction"](https://aclanthology.org/2022.naacl-main.65/), which extracts compact facts from raw input sentences. Our pipelined approach consists of two models, Constituent Extraction and Constituent Linking. The Constituent Extraction model first extracts triple slots (constituents) and pass them to Constituent Linking models to link the constituents and form triples.
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<p align="center">
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<img src="https://github.com/FarimaFatahi/CompactIE/blob/main/example.png" width="750">
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</p>
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## Requirements
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* `python`: 3.6
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* `pytorch`: 1.9.0
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## Requirements
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* `python`: 3.6
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* `pytorch`: 1.9.0
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