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## 计算机类学术论文 28个常见出版社一般写法.md

      
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                计算机类学术论文 28个常见出版社一般写法（参考文献用）
              
          
序号
出版社一般写法
出版地
备注


1
AAAI
Menlo Park, CA
Association for the Advancement of Artificial Intelligence


2
Academic
同Elsevier
Academic Press is part of Elsevier


3
Academy Press
New York/ London/ Paris/ San Diedo,CA/ San Francisco,CA/ Sao Paulo/ Sydney/ Tokyo/Toronto
AP，Academy Press


4
ACL
Stroudsburg,PA
Association for Computational Linguistics


5
ACM
New York, NY
ACM Press,Association for Computing and Machinery


6
AP Professional
Boston,MA/ San Diedo,CA/New York/ London/ Sydney/ Tokyo/ Toronto
　

7
Chapman & Hall
London/ Glasgow/ Weinheim/ New York/ Madras
CH


## Awesome-Repositories-for-NLI-and-Semantic-Similarity.md

      
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                GhibliField
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                Awesome-Repositories-for-NLI-and-Semantic-Similarity
              
          
    mainly record pytorch implementations for NLI and similarity computing


REPOSITORY
REFERENCE


baidu/SimNet
SEVERAL


NTSC-Community/awaresome-neural-models-for-semantic-match
SEVERAL


lanwuwei/SPM_toolkit:
 ①DecAtt
 ②ESIM
 ③PWIM
 ④SSE
Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering


MatchZoo (Keras Implementation):
 ①DSSM
 ②CDSSM
 ③ARC-I
 ④ARC-II
 ⑤MV-LSTM
 ⑥DRMM
 ⑦K-NRM
 ⑧CONV-KNRM
 ⑨DRMM-TKS
 ⑩BiMPM
 ...
MatchZoo: A Toolkit for Deep Text Matching
...


[likejazz/Si


## Winning-Solutions-using-Lightgbm.md

      
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              June 28, 2018 02:00
            
              
                Some Winning-Solutions using Lightgbm
              
          
    Examples

You can learn how to use LightGBM by these examples.
Machine Learning Challenge Winning Solutions


Place
Competition
Solution
Date


## Awesome-Repositories-for-Text-Modeling.md

      
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              November 10, 2022 20:48
            
              
                Awesome Repositories for Text Modeling and Classification
              
          
repo
paper


miracleyoo/DPCNN-TextCNN-Pytorch-Inception
Deep Pyramid Convolutional Neural Networks for Text Categorization


Cheneng/DPCNN
Deep Pyramid Convolutional Neural Networks for Text Categorization


conv-RNN
A Hybrid Framework for Text Modeling with Convolutional RNN


AC-LSTM


- FastText;- BasicCNN (KimCNN,MultiLayerCNN, Multi-perspective CNN);- InceptionCNN;- LSTM (BILSTM, StackLSTM);- LSTM with Attention (Self Attention / Quantum Attention);- Hybrids between CNN and RNN (RCNN, C-LSTM);- Transformer - Attention is all you need;- ConS2S;- Capsule;- Quantum-inspired NN


[Double ConvNet;C-LSTM](
序号	出版社一般写法	出版地	备注
1	AAAI	Menlo Park, CA	Association for the Advancement of Artificial Intelligence
2	Academic	同Elsevier	Academic Press is part of Elsevier
3	Academy Press	New York/ London/ Paris/ San Diedo,CA/ San Francisco,CA/ Sao Paulo/ Sydney/ Tokyo/Toronto	AP，Academy Press
4	ACL	Stroudsburg,PA	Association for Computational Linguistics
5	ACM	New York, NY	ACM Press,Association for Computing and Machinery
6	AP Professional	Boston,MA/ San Diedo,CA/New York/ London/ Sydney/ Tokyo/ Toronto
7	Chapman & Hall	London/ Glasgow/ Weinheim/ New York/ Madras	CH
REPOSITORY	REFERENCE
baidu/SimNet	SEVERAL
NTSC-Community/awaresome-neural-models-for-semantic-match	SEVERAL
lanwuwei/SPM_toolkit: ①DecAtt ②ESIM ③PWIM ④SSE	Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering
MatchZoo (Keras Implementation): ①DSSM ②CDSSM ③ARC-I ④ARC-II ⑤MV-LSTM ⑥DRMM ⑦K-NRM ⑧CONV-KNRM ⑨DRMM-TKS ⑩BiMPM ...	MatchZoo: A Toolkit for Deep Text Matching ...
[likejazz/Si
repo	paper
miracleyoo/DPCNN-TextCNN-Pytorch-Inception	Deep Pyramid Convolutional Neural Networks for Text Categorization
Cheneng/DPCNN	Deep Pyramid Convolutional Neural Networks for Text Categorization
conv-RNN	A Hybrid Framework for Text Modeling with Convolutional RNN
AC-LSTM
- FastText;- BasicCNN (KimCNN,MultiLayerCNN, Multi-perspective CNN);- InceptionCNN;- LSTM (BILSTM, StackLSTM);- LSTM with Attention (Self Attention / Quantum Attention);- Hybrids between CNN and RNN (RCNN, C-LSTM);- Transformer - Attention is all you need;- ConS2S;- Capsule;- Quantum-inspired NN
[Double ConvNet;C-LSTM](