natural-questions

There are 0 repository under natural-questions topic.

• AkariAsai / learning_to_retrieve_reasoning_paths

  The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".

  open-domain-qamulti-hop-reasoninghotpotqasquadnatural-questionsretrievalreading-comprehension
  Language:Python 420

• DevSinghSachan / emdr2

  Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)

  open-domain-question-answeringopen-domain-qaquestion-answeringnatural-questionstriviaqawebqnatural-language-processingpytorchnlpinformation-retrieval
  Language:Python 106

• DevSinghSachan / art

  Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"

  dense-retrievalinformation-retrievalnatural-questionsunsupervised-retrievalbeirzero-shot
  Language:Python 59

• thevasudevgupta / bigbird

  Google's BigBird (Jax/Flax & PyTorch) @ 🤗Transformers

  bigbirdtransformershuggingfacepytorchnatural-questionswandb
  Language:Jupyter Notebook 47

• AkariAsai / unanswerable_qa

  The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".

  question-answeringmachine-reading-comprehensionnatural-questionsnatural-language-processing
  Language:Python 26

• mikelkl / TF2-QA

  21th place (top2%) solution for kaggle TensorFlow 2.0 Question Answering

  deep-learningkagglemachine-learningmachine-reading-comprehensionnatural-questionsnlpquestion-answering
  Language:Python 17

• zorazrw / nqt-retrieval

  [SUKI'22] Table Retrieval May Not Necessitate Table-Specific Model Design

  natural-questionstable-retrieval
  Language:Python 16

• dzorlu / natural_questions

  Repo for Google Natural Question Dataset

  question-answeringnlptensorflownatural-questions
  Language:Jupyter Notebook 5

• MediaBilly / BERT-Question-Answering

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

  reading-comprehensionsquad-datasetbertquestion-answeringnlpnatural-language-processingmachine-learningdeep-learningtriviaqanatural-questionsquac-datasetnewsqa
  Language:Jupyter Notebook 4

• Sitaras / BERT-Question-Answering

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

  bertdeep-learningmaschine-learningnatural-language-processingnatural-questionsnewsqanlpquac-datasetquestion-answeringreading-comprehensionsquad-datasettriviaqa
  Language:Jupyter Notebook 4

• giannhskp / Artificial-Intelligence-II_Natural-Language-Processing

  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)

  sentiment-classificationsoftmax-regressionfeed-forward-neural-networksrecursive-neural-networkslstm-neural-networksgru-neural-networksbertbert-modelbert-fine-tuningquestion-answeringsquad-datasettriviaqanewsqanatural-questionsquac-dataset
  Language:Jupyter Notebook 2

• chandrakanthm / visual-question-generator

  tensorflownatural-questionsvqa-datasetvqa
  Language:Python 1

• jewrose / CASQAD

  question-answeringdatasetspatialcontextnatural-questions
  Language:HTML 1

• akashe / NLP

  Implementation of concepts of NLP

  drop-datasetenglish-to-germanhotpotqanatural-questionsrecipeqa
  Language:Jupyter Notebook 0

• tadowney / bert_for_qa

  Using deep learning language model BERT for open domain question answering

  bert-modelnatural-questionsquestion-answering
  Language:Python 0