Quincy1994

Quincy1994's Stars

• flairNLP/flair

  A very simple framework for state-of-the-art Natural Language Processing (NLP)

  Language:Python14.1k2002.4k2.1k

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python11.6k1171.7k1.1k

• fastnlp/fastNLP

  fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

  Language:Python3.1k79218450

• msgi/nlp-journey

  Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc.

  1.6k625379

• yhangf/ML-NOTE

  :orange_book:慢慢整理所学的机器学习算法，并根据自己所理解的样子叙述出来。(注重数学推导)

  669351137

• OnYuKang/Recommendation-systems-paperlist

  Papers about recommendation systems that I am interested in

  36716277

• akashgit/autoencoding_vi_for_topic_models

  Tensorflow implementation for prodLDA and NVLDA.

  Language:Python252121752

• kanyun-inc/fairseq-gec

  Source code for paper: Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

  Language:Python25064267

• majingCUHK/Rumor_RvNN

  Source Codes: Rumor Detection on Twitter with Tree-structured Recursive Neural Networks -- ACL 2018

  Language:Python2182866

• thunlp/OpenQA

  The source code of ACL 2018 paper "Denoising Distantly Supervised Open-Domain Question Answering".

  Language:Python20622947

• nusnlp/mlconvgec2018

  Code and model files for the paper: "A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction" (AAAI-18).

  Language:Python18493373

• FrankWork/fudan_mtl_reviews

  TensorFlow implementation of the paper `Adversarial Multi-task Learning for Text Classification`

  Language:Python17772241

• allenai/vampire

  Variational Methods for Pretraining in Resource-limited Environments

  Language:Python174103133

• keisks/jfleg

  JFLEG (JHU FLuency-Extended GUG) corpus for Grammatical Error Correction Evaluation

  Language:Macaulay21138425

• DFKI-NLP/DISTRE

  [ACL 19] Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction

  Language:Python855913

• DevSinghSachan/ssl_text_classification

  Semi Supervised Learning for Text-Classification

  Language:Python835815

• NonvolatileMemory/AAAI_2019_EXAM

  Official implementation of "Explicit Interaction Model towards Text Classification"

  Language:Python703420

• thespectrewithin/cross-lingual_NER

  Neural Cross-Lingual Named Entity Recognition with Minimal Resources

  Language:Python6581111

• WHUIR/CARP

  The implementation of “A Capsule Network for Recommendation and Explaining What You Like and Dislike”, Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu, https://dl.acm.org/citation.cfm?doid=3331184.3331216

  Language:Python522319

• nusnlp/crosentgec

  Code for cross-sentence grammatical error correction using multilayer convolutional seq2seq models (ACL 2019)

  Language:Python5041012

• bcol23/HyperIM

  PyTorch implementation of the paper "Hyperbolic Interaction Model For Hierarchical Multi-Label Classification"

  Language:Python485812

• vanzytay/WWW2018_LRML

  Implementation of "Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking"

  Language:Python382010

• turboLJY/Coarse-to-Fine-Review-Generation

  this repository contains the source code for the ACL 2019 paper "Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding"

  Language:Python36335

• tomo-wb/Lang8-NAIST-extractor

  Language:Python29115

• misonuma/strsum

  A code for "Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking" in ACL2019

  Language:Python27325

• yanlirock/RLANS

  Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient

  Language:Python25584

• darsh10/qra_code

  Question similarity with domain adaptation.

  Language:Python21437

• NKU-IIPLab/Net2Net-NE

  Source code of the paper "Zhicheng He, Jie Liu*, Na Li, and Yalou Huang. Learning Network-to-Network Model for Content-rich Network Embedding, KDD 2019."

  Language:Python10112

• ShimShim46/TRF_Multitask

  Text Categorization by Learning Predominant Sense of Words as Auxiliary Task

  Language:Python6101

• Jgirl033/SeeingSpider

  Language:Java1100