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sent-conv-torch

Text classification using a convolutional neural network.

sentence-embedding

comparation of diffrent approaches of sentence embedding

sentence-representation-for-classification-pytorch

A collection of deep learning models for sentence representation on classification that implemented in PyTorch

sentence-selection

Sentence Selection for Reading Comprehension task on the SQuaD question answering dataset

sentence-similarity

PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment

sentence_classification

(IJCAI 2018) TreeNet: Learning Sentence Representations with Unconstrained Tree Structure

sentencematching

Matching Natural Language Sentences with Hierarchical Sentence Factorization

seq2seq-attn

Sequence-to-sequence model with LSTM encoder/decoders and attention

seqmatchseq

seqmatchseq-1

Compare-Aggregate method for WikiQA (via PyTorch)

snli-attention

SNLI with word-word attention by LSTM encoder-decoder

snli-keras

Stanford Natural Language Inference Model in Keras

snli-test

Testing my model on the snli corpus

snli_tensorflow

Implements MLP based model which achieve the same effect as lstm/gru with tensorflow low api

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

spm_toolkit

Neural network toolkit for sentence pair modeling.

squad

squad-qa-system

QA system for Stanford Question Answering Dataset

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

stackeddebert

Stacked Denoising BERT for Noisy Text Classification (Neural Networks 2020)

stcka

Reproducing the paper — Deep Short Text Classification with Knowledge Powered Attention

struct-attn

Code for Structured Attention Networks https://arxiv.org/abs/1702.00887

structured

code for Learning Structured Text Representations

structured-self-attentive-sentence-embedding

Implementation of the Paper Structured Self-Attentive Sentence Embedding published in ICLR 2017

structured-text-representations

Pytorch implementation of : "Learning Structured Text Representations"

swem

The Tensorflow code for this ACL 2018 paper: "Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms"

tacntn

Source code of Response Selection with Topic Clues for Retrieval-based Chatbots

tagnn-pdtb

Tag-enhanced Tree-Structured NN for discourse relation classification.

tcmsa

Code of Tree communication model (TCM) for sentiment analysis.

tech_aarticle

深度学习各种模型实战-深度学习模型在各大公司实际生产环境的应用讲解文章，涉及到搜索(Query理解，召回，排序)/推荐(召回，排序)/自然语言处理(文本分类，文本相似度判定，文本匹配，文本生成，命名体识别)