Frankey's repositories
awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
awesome-capsule-networks
A curated list of awesome resources related to capsule networks
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.
BiDAF
Bidirectional Attention Flow for Machine Comprehension, Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi https://arxiv.org/abs/1611.01603
Chinese-Annotator
Annotator for Chinese Text Corpus (UNDER DEVELOPMENT) 中文文本标注工具
Crepe
Character-level Convolutional Networks for Text Classification
DrQA
Reading Wikipedia to Answer Open-Domain Questions
dstc7-noesis
dstc7-noesis
MatchLSTM-PyTorch
a pytorch implementation of match lstm question answering model
MnemonicReader
A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task
mtl-disparate
Code for NAACL 2018 paper "Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces" by Isabelle Augenstein, Sebastian Ruder, Anders Søgaard
multiNLI_encoder
This is a repo for multiNLI_encoder.
nli
Enhanced LTSM for natural language inference
ParlAI
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
planetoid
Semi-supervised learning with graph embeddings
pointer-generator
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
pytorch-capsule
Pytorch implementation of Hinton's Dynamic Routing Between Capsules
SeqMatchSeq
Compare-Aggregate method for WikiQA (via PyTorch)
SlotGated-SLU
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
VDPWI-NN-Torch
Very Deep Pairwise Word Interaction Neural Networks for modeling textual similarity (He and Lin, NAACL/HLT 2016)
WhatsMissingInGeoparsing
The accompanying code and data for the Springer 2017 publication "What's missing in geographical parsing?" in Language Resources and Evaluation.