Pinned Repositories
MP-CNN-Torch
Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)
NCE-CNN-Torch
Noise-Contrastive Estimation for Question Answering with Convolutional Neural Networks (Rao et al. CIKM 2016)
pytext
A natural language modeling framework based on PyTorch
TreeNLG
A novel method of constrained decoding for neural NLG (NNLG) models
hcan
EMNLP'19: Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling
matrix-factorization-social-recommendation
Probabilistic Matrix Factorization with Social Trust for Recommendation (Ma et al. SIGIR 2009)
neural-tweet-search
Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search (Rao et al. AAAI'19)
time-series-compression
Compressing and Decoding Term Statistics Time Series -- ECIR 2016
treelstm.pytorch
Batch Support for TreeLSTM
ZJU_CS_13Fall_Overseas_Manual
浙江大学计算机系2013届飞跃手册
jinfengr's Repositories
jinfengr/hcan
EMNLP'19: Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling
jinfengr/neural-tweet-search
Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search (Rao et al. AAAI'19)
jinfengr/treelstm.pytorch
Batch Support for TreeLSTM
jinfengr/Joint-NLU-NLG
The source code of the paper "A Generative Model for Joint Natural Language Understanding and Generation" published at ACL 2020.
jinfengr/task_oriented_dialogue_as_dataflow_synthesis
Code to reproduce experiments in the paper "Task-Oriented Dialogue as Dataflow Synthesis" (TACL 2020).
jinfengr/TREC-Microblog-Datasets
TREC Microblog 2011-2014 Datasets
jinfengr/xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding
jinfengr/acl2020-openqa-tutorial
ACL2020 Tutorial: Open-Domain Question Answering
jinfengr/anserini
A Lucene toolkit for replicable information retrieval research
jinfengr/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
jinfengr/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.
jinfengr/BiDAF
Bidirectional Attention Flow for Machine Comprehension, Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi https://arxiv.org/abs/1611.01603
jinfengr/coarse2fine
jinfengr/E-MSCA
jinfengr/e2e-metrics
E2E NLG Challenge Evaluation metrics
jinfengr/emnlp2017-bilstm-cnn-crf
jinfengr/gdown.pl
Google Drive direct download of big files
jinfengr/interview_internal_reference
2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
jinfengr/keras-adda
This is an implementation of Adversarial Discriminative Domain Adaptation using Keras for the purpose of visualizing the intermediate activations in a variational approximation of total correlation.
jinfengr/neuralcoref
✨Fast Coreference Resolution in spaCy with Neural Networks
jinfengr/pytext
A natural language modeling framework based on PyTorch
jinfengr/QuaternionTransformers
Repository for ACL 2019 paper
jinfengr/SPM_toolkit
Neural network toolkit for sentence pair modeling.
jinfengr/task-oriented-dialogue
jinfengr/tercom
Translation Error Rate (TER)
jinfengr/textClassifier
Text classifier for Hierarchical Attention Networks for Document Classification
jinfengr/translate
Translate - a PyTorch Language Library
jinfengr/TreeNLG
A novel method of constrained decoding for neural NLG (NNLG) models
jinfengr/unlikelihood_training
Neural Text Generation with Unlikelihood Training
jinfengr/zeroshot-d2t-pipeline
Code for the paper Neural Pipeline for Zero-Shot Data-to-Text Generation