online natural language processing with word vectors
Install
git clone https://github.com/overlap-ai/words2map.git
cd words2map
./install.sh
Derive new vectors for words by searching online
from words2map import *
model = load_model()
words = load_words("passions
Install
git clone https://github.com/overlap-ai/words2map.git
cd words2map
./install.sh
This respository contains the dataset used in "Open Table-and-Text Question Answering" and the baseline code for the dataset (OTT-QA). This dataset contains open questions which require retrieving tables and text from the web to answer. This dataset is re-annotated from the previous HybridQA dataset
The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained models, and a starter code! (AACL-IJCNLP 2020)
FinBERT is a BERT model pre-trained on financial communication text. The purpose is to enhance finaincal NLP research and practice. It is trained on the following three finanical communication corpus. The total corpora size is 4.9B tokens.