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ate_tk-instruct-base-def-pos-neg-neut-combined

Text2Text Generation

Inference Endpoints

text-generation-inference

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kevinscaria commited on Feb 23, 2023

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@@ -13,7 +13,7 @@ pipeline_tag: text2text-generation
 # ate_tk-instruct-base-def-pos-neg-neut-combined
 This model is finetuned for the Aspect Term Extraction (ATE) subtask. The finetuning was carried out by adding prompts of the form:
- - definition + 2 positive examples + 2 negative examples + 2 neutral examples.
 The prompt is prepended onto each input review. It is important to note that **this model output was finetuned on samples from both laptops and restaurants domains.**
 The code for the official implementation of the paper [**InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis**](https://arxiv.org/abs/2302.08624) can be

 # ate_tk-instruct-base-def-pos-neg-neut-combined
 This model is finetuned for the Aspect Term Extraction (ATE) subtask. The finetuning was carried out by adding prompts of the form:
+ - definition + 2 positive examples + 2 negative examples + 2 neutral examples
 The prompt is prepended onto each input review. It is important to note that **this model output was finetuned on samples from both laptops and restaurants domains.**
 The code for the official implementation of the paper [**InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis**](https://arxiv.org/abs/2302.08624) can be