BI-DIRECTIONAL ATTENTION FLOW FOR MACHINE COMPREHENSION
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Updated
Mar 25, 2019 - Python
BI-DIRECTIONAL ATTENTION FLOW FOR MACHINE COMPREHENSION
Решение, занимающее 28/184 место в отборочном контесте ONTI "AI" на датасете MuSeRC.
Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension
A PyTorch implementation of Neural Ranker-Reader model for Machine Reading Comprehension
Cooking Recipe MRC using PEFT techniques
KorSQuAD-pl provides transfer learning codes about korean dataset KorQuAD and english dataset SQuAD for extractive question answering. KorSQuAD-pl implemented through pytorch lightning.
Machine Comprehension on Squad Dataset using Match-LSTM + Ans-Ptr Network
Fine-tuning Question Answering models on German with the GermanQuAD dataset
CS Bachelor Thesis. Open Domain Question Answering System that tries to answer general topic questions fetching from wikipedia.
This is a simple platform for labeling answers to questions in an article.
a new large-scale challenging dataset for CLRC (Cross-Lingual Reading Comprehension)
Source Code for "Teaching Machine Comprehension with Compositional Explanations" (Findings of EMNLP 2020)
The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".
MRC question and answer approach using NLP and machine learning techniques
Code for the paper "Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation" (COLING 2020)
Reasoning Shortcuts in MRC
Linguistic-knowledge-aware Neuro-symbolic Model for Entity State Tracking
Endeavour to make full use of hierarchical information to extract span from product reviews for user questions
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