# InLegalBERT-cbp-lkg-qa-triples-w-context-finetuned

[InLegalBERT](https://huggingface.co/law-ai/InLegalBERT) with additional QA head fine-tuned over the KG triples used in [Dhani et al., 2022](https://arxiv.org/abs/2107.04771) formulated as questions alongside aligned sentences acting as context for extractive question answering.


{"language": ["en"], "license": "mit", "tags": ["legal"], "pipeline_tag": "question-answering"}
transformers pytorch safetensors bert question-answering legal en arxiv:2107.04771 license:mit endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #bert #question-answering #legal #en #arxiv-2107.04771 #license-mit #endpoints_compatible #region-us 

# InLegalBERT-cbp-lkg-qa-triples-w-context-finetuned

InLegalBERT with additional QA head fine-tuned over the KG triples used in Dhani et al., 2022 formulated as questions alongside aligned sentences acting as context for extractive question answering.


# InLegalBERT-cbp-lkg-qa-triples-w-context-finetuned

InLegalBERT with additional QA head fine-tuned over the KG triples used in Dhani et al., 2022 formulated as questions alongside aligned sentences acting as context for extractive question answering.
TAGS
#transformers #pytorch #safetensors #bert #question-answering #legal #en #arxiv-2107.04771 #license-mit #endpoints_compatible #region-us 
 # InLegalBERT-cbp-lkg-qa-triples-w-context-finetuned

InLegalBERT with additional QA head fine-tuned over the KG triples used in Dhani et al., 2022 formulated as questions alongside aligned sentences acting as context for extractive question answering.