lixinsu / Rczoo
Licence: mit
question answering, reading comprehension toolkit
Stars: ✭ 163
Programming Languages
python
139335 projects - #7 most used programming language
Projects that are alternatives of or similar to Rczoo
Dan Jurafsky Chris Manning Nlp
My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
Stars: ✭ 124 (-23.93%)
Mutual labels: question-answering
Cape Webservices
Entrypoint for all backend cape webservices
Stars: ✭ 149 (-8.59%)
Mutual labels: question-answering
Bi Att Flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
Stars: ✭ 1,472 (+803.07%)
Mutual labels: question-answering
Dynamic Memory Networks Plus Pytorch
Implementation of Dynamic memory networks plus in Pytorch
Stars: ✭ 123 (-24.54%)
Mutual labels: question-answering
Kbqa Ar Smcnn
Question answering over Freebase (single-relation)
Stars: ✭ 129 (-20.86%)
Mutual labels: question-answering
Reading Comprehension Question Answering Papers
Survey on Machine Reading Comprehension
Stars: ✭ 101 (-38.04%)
Mutual labels: question-answering
Chinese Rc Datasets
Collections of Chinese reading comprehension datasets
Stars: ✭ 159 (-2.45%)
Mutual labels: question-answering
Knowledge Aware Reader
PyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"
Stars: ✭ 123 (-24.54%)
Mutual labels: question-answering
Question answering models
This repo collects and re-produces models related to domains of question answering and machine reading comprehension
Stars: ✭ 139 (-14.72%)
Mutual labels: question-answering
Dynamic Coattention Network Plus
Dynamic Coattention Network Plus (DCN+) TensorFlow implementation. Question answering using Deep NLP.
Stars: ✭ 117 (-28.22%)
Mutual labels: question-answering
Clicr
Machine reading comprehension on clinical case reports
Stars: ✭ 123 (-24.54%)
Mutual labels: question-answering
Question Answering
TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.
Stars: ✭ 133 (-18.4%)
Mutual labels: question-answering
Tableqa
AI Tool for querying natural language on tabular data.
Stars: ✭ 109 (-33.13%)
Mutual labels: question-answering
Pytorch Question Answering
Important paper implementations for Question Answering using PyTorch
Stars: ✭ 154 (-5.52%)
Mutual labels: question-answering
Ama
[[I'm slow at replying these days, but I hope to get back to answering questions eventually]] Ask me anything!
Stars: ✭ 102 (-37.42%)
Mutual labels: question-answering
Medquad
Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites
Stars: ✭ 129 (-20.86%)
Mutual labels: question-answering
Denspi
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index (DenSPI)
Stars: ✭ 162 (-0.61%)
Mutual labels: question-answering
Nspm
🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.
Stars: ✭ 156 (-4.29%)
Mutual labels: question-answering
Introduction
The RCZoo project is a toolkit for reading comprehension model. It contains the PyTorch reimplement of multiple reading comprehension models
Usage
- run
sh download.shto download the dataset and the glove embeddings. - run
sh runs/train_squad.sh [bidaf|drqa|slqa|fusionnet|docqa]to start the train process. (Check the xxx.sh scripts before run, as the preprocessing only need to be executed once)
Dependencies
python 3.5
Pytorch 0.4
tqdm
performance
We train each model on train set for 40 epoch, and report the best performance on dev set.
| Model | Exact Match | F1 | EM(+ELMo) | F1(+ELMo) |
|---|---|---|---|---|
| Rnet | 69.25 | 78.97 | ||
| BiDAF | 70.47 | 79.90 | 73.04 | 81.48 |
| documentqa | 71.47 | 80.84 | ||
| DrQA | 68.39 | 77.90 | ||
| QAnet | ... | ... | ||
| SLQA | 67.09 | 76.67 | ||
| FusionNet | 68.27 | 77.79 |
Current progress
Rnet
BiDAF
documentqa
DrQA
QAnet
SLQA
FusionNet
acknowledgement
some code are borrowed from DrQA, a cool project about reading comprehension.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].