Atma's repositories

Task-Oriented-Dialogue-Research-Progress-Survey

A datasets and methods survey about task-oriented dialogue, including recent datasets and SOTA leaderboards.

MetaDialog

Platform for few-shot natural language processing: Text Classification, Sequene Labeling.

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FewShotTagging

Code for ACL2020 paper: Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network

FewShotMultiLabel

Code for AAAI2021 paper: Few-Shot Learning for Multi-label Intent Detection.

Seq2SeqDataAugmentationForLU

This repo is code for the COLING 2018 paper: Sequence-to-sequence Data Augmentation for Dialogue Language Understanding.

PromptSlotTagging

Code for ACL22 findings paper: Inverse is Better! Fast and Accurate Prompt for Slot Tagging

Bi-LSTM_PosTagger

An easy-to-use sequence labeling project(get SoA on ATIS data) with pytorch

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Pascal-Simple-Compiler

哈工大编译原理实验 编译器

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UserSimulator

Code for CCL 2019 BEST Poster Paper: A Corpus-free State2Seq User Simulator for Task-oriented Dialogue

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atma

Light NLP Tool: atma-0.4.1, commonly-used & tested NLP tools: sentence level bleu, tokenizer, proxy crawler included

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ELMoForManyLangs

Pre-trained ELMo Representations for Many Languages

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DSEH

Deep Joint Semantic-Embedding Hashing(IJCAI2018)

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pytorch-seq2seq

An open source framework for seq2seq models in PyTorch.

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NNlearning

This repo contains code solution for Stanford CS224N natural language class, and some project relative code.

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simple_BP

A simple 3-3-4 three layer neural network for HIT PR homework2

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Style-Transfer-in-Text

Paper List for Style Transfer in Text

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artm-github

Code for ARTM

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IIC

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

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ludus-jluva

Code for running Joint Language Understanding Variational Autoencoder (JLUVA)

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MetaLearning4NLP-Papers

A list of recent papers about Meta / few-shot learning methods applied in NLP areas.

Parzen-Window-And-Top-K

Machine Learning non-parameter method: Parzen window and Top-k

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pytorch-nlugen

Generative models for natural language understanding

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bertnmt-ensemble

add ensemble for bertnmt

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CPT

CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation

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dotfiles

dotfiles

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