BERT-QE
FinBERT-QA
BERT-QE | FinBERT-QA | |
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1 | 1 | |
48 | 113 | |
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0.0 | 0.0 | |
over 2 years ago | 11 months ago | |
Python | Python | |
Apache License 2.0 | - |
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BERT-QE
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[D] BERT-QE: Contextualized Query Expansion for Document Re-ranking (Research Paper Walkthrough)
⏩ Paper Title: BERT-QE: Contextualized Query Expansion for Document Re-ranking ⏩ Paper: https://arxiv.org/pdf/2009.07258.pdf ⏩ Code: https://github.com/zh-zheng/BERT-QE ⏩ Author: Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates ⏩ Organisation: University of Chinese Academy of Sciences, Amazon Alexa, Institute of Software, Chinese Academy of Sciences, Max Planck Institute for Informatics
FinBERT-QA
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Best way to approach financial statement analysis with NLP and Image Recognition?
Open Domain Question Answering (ODQA) using a deep transformer NLP model that has been fine tune trained on a financial domain dataset such as FiQA.
What are some alternatives?
gensim - Topic Modelling for Humans
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ranking - Learning to Rank in TensorFlow
kiri - Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
KitanaQA - KitanaQA: Adversarial training and data augmentation for neural question-answering models
beir - A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
kiri - Kiri is a visual tool designed for reviewing schematics and layouts of KiCad projects that are version-controlled with Git.
TextFooler - A Model for Natural Language Attack on Text Classification and Inference
ARElight - Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit