Решение, занимающее 28/184 место в отборочном контесте ONTI "AI" на датасете MuSeRC.
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Updated
Mar 20, 2021 - Jupyter Notebook
Решение, занимающее 28/184 место в отборочном контесте ONTI "AI" на датасете MuSeRC.
A PyTorch implementation of Neural Ranker-Reader model for Machine Reading Comprehension
CS Bachelor Thesis. Open Domain Question Answering System that tries to answer general topic questions fetching from wikipedia.
a new large-scale challenging dataset for CLRC (Cross-Lingual Reading Comprehension)
Machine Reading Comprehension over Forest Rights Act
Endeavour to make full use of hierarchical information to extract span from product reviews for user questions
A solutions for https://onti2020.ai-academy.ru by @otter18
Contextualized commonsense knowledge
Build a Question&Answering System with Deep Learning.
Cooking Recipe MRC using PEFT techniques
Machine Comprehension on Squad Dataset using Match-LSTM + Ans-Ptr Network
This repo includes the data and code for the demo paper titled "Climate Bot: A Machine Reading Comprehension System for Climate Change Question Answering"
Reasoning Shortcuts in MRC
Linguistic-knowledge-aware Neuro-symbolic Model for Entity State Tracking
An Open-Source Toolkit for Machine Reading Comprehension and Textual Question Answering Based on PyTorch. 基于PyTorch的机器阅读理解与文本问答开源工具
The official repository for "Open Relation Extraction via Query-based Span Prediction", KSEM 2022.
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