squad-dataset

Implementation of a Dynamic Coattention Network proposed by Xiong et al.(2017) for Question Answering, learning to find answers spans in a document, given a question, using the Stanford Question Answering Dataset (SQuAD2.0).

nlp pytorch lstm pointer-networks question-answering coattention encoder-decoder-model squad-dataset

UpdatedDec 8, 2022
Python

MediaBilly /BERT-Question-Answering

Star6

A project about fine-tuning bert-base-uncased model for reading comprehension tasks.

nlp machine-learning natural-language-processing deep-learning question-answering reading-comprehension bert newsqa triviaqa natural-questions squad-dataset quac-dataset

UpdatedMar 22, 2022
Jupyter Notebook

Sitaras /BERT-Question-Answering

Star6

Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)

nlp natural-language-processing deep-learning question-answering reading-comprehension bert newsqa triviaqa maschine-learning natural-questions squad-dataset quac-dataset

UpdatedMay 6, 2022
Jupyter Notebook

hyerania /Machine-Reading-Comprehension

Star5

MRC question and answer approach using NLP and machine learning techniques

nlp machine-reading-comprehension squad-dataset

UpdatedNov 27, 2018
Jupyter Notebook

Aftaab99 /Context-based-QnA-system

Star4

A context based question answering system trained on the SQUAD 2.0 dataset

nlp deep-learning keras question-answering attention-model squad-dataset

UpdatedDec 4, 2019
Python

spyros-briakos /Document-Retrieval-and-Question-Answering-with-BERT

Star4

Initially implement Document-Retrieval-System with SBERT embeddings and evaluate it in CORD-19 dataset. Afterwards, fine tune BERT model with SQuAD.v2 dataset so as to evaluate it in Question Answering task.

pytorch question-answering document-retrieval google-colab squad-dataset cord-19-dataset sbert fine-tuning-bert

UpdatedMar 5, 2021
Jupyter Notebook

obss /disgem

Star4

[EMNLP 2024] Official Implementation of DisGeM: Distractor Generation for Multiple Choice Question with Span Masking

machine-learning deep-learning transformers language-model bert roberta squad-dataset pretrained-language-model distractor-generation masked-language-models multiple-choice-questions large-language-models cloze-tests cloth-dataset

UpdatedOct 14, 2024
Python

alexaapo /SBERT-for-Question-Answering-on-COVID-19-Dataset

Star3

Sentence Bert for Question-Answering on COVID-19 Open Research Dataset (CORD-19)

pytorch quest siamese-network squad-dataset sbert sentence-bert covidbert-nli covidbert covid-squad

UpdatedMar 19, 2021
Jupyter Notebook

giannhskp /Artificial-Intelligence-II_Natural-Language-Processing

Star2

Sentiment Classifier using: Softmax-Regression, Feed-Forward Neural Network, Bidirectional stacked LSTM/GRU Recursive Neural Network, fine-tuning on BERT pre-trained model. Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)

question-answering softmax-regression bert lstm-neural-networks newsqa sentiment-classification recursive-neural-networks triviaqa feed-forward-neural-networks bert-model natural-questions squad-dataset gru-neural-networks bert-fine-tuning quac-dataset