The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".
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Jul 25, 2024 - Python
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natural-questions
Here are 16 public repositories matching this topic...
Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)
nlp natural-language-processing information-retrieval pytorch question-answering triviaqa natural-questions open-domain-qa webq open-domain-question-answering
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Apr 18, 2022 - Python
Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"
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Dec 27, 2022 - Python
Google's BigBird (Jax/Flax & PyTorch) @ 🤗Transformers
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Mar 20, 2023 - Jupyter Notebook
The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".
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Jun 19, 2021 - Python
[SUKI'22] Table Retrieval May Not Necessitate Table-Specific Model Design
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Sep 23, 2022 - Python
21th place (top2%) solution for kaggle TensorFlow 2.0 Question Answering
nlp machine-learning deep-learning kaggle question-answering machine-reading-comprehension natural-questions
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Feb 7, 2020 - Python
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
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May 6, 2022 - Jupyter Notebook
Repo for Google Natural Question Dataset
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May 21, 2019 - Jupyter Notebook
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
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Mar 22, 2022 - Jupyter Notebook
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
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Mar 24, 2022 - Jupyter Notebook
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Apr 21, 2017 - Python
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Sep 18, 2020 - HTML
Using deep learning language model BERT for open domain question answering
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Jun 20, 2022 - Python
Local-only, graph-augmented, iteratively-reasoning, self-corrective RAG showcase on Apple Silicon — pushing toward published SOTA on multi-hop QA (MuSiQue, 2WikiMultiHopQA, HotpotQA) with HippoRAG 2 + Adaptive routing + Search-o1 iterative reasoning + CRAG-style gating + NLI faithfulness verification.
showcase mlx rag musique fastapi natural-questions streamlit hotpotqa colbert apple-silicon crag qdrant retrieval-augmented-generation graph-rag adaptive-rag hipporag qwen3 multi-hop-qa search-o1
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May 30, 2026 - Python
Implementation of concepts of NLP
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Feb 8, 2021 - Jupyter Notebook
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