Source code analysis evaluation method of "reasoning problem based on common sense knowledge"

2021SC@SDUSC In previous source code analysis reports, I have analyzed the first two steps of DrFact's algorithm. In order, today I should first analyze how the third step of the algorithm is implemented in the source code. However, based on my explanation of how DrKit model was referenced by DrFact model in the past two weeks, I want to focus ...

Posted on Sun, 05 Dec 2021 13:12:33 -0500 by kriek

Event extraction task based on Baidu self-developed model ERNIE

Event extraction task based on Baidu self-developed model ERNIE Information extraction aims to extract structured knowledge from unstructured natural language texts, such as entities, relationships, events and so on. Event extraction is a kind of information extraction. Its goal is to identify the events of all target event types in a given na ...

Posted on Sat, 04 Dec 2021 20:03:28 -0500 by 6pandn21

Analysis of unsupervised key phrase generation blog 11--tfidf.py

2021SC@SDUSC  In the last blog, we completed the analysis of utils.py in the project. In this blog, we will analyze the tfidf.py file in pke. First, we will analyze the calculation method of TF IDF index in combination with the paper, and then analyze it in combination with the use of examples and TF IDF source code. I   Calculation me ...

Posted on Thu, 02 Dec 2021 22:47:27 -0500 by timmybuck

optimizer.zero_grad(),loss.backward, and optimizer.step(), LR_ Analysis of scheduler.step principle

When training the model with pytorch, optimizer.zero is usually used successively in the process of traversing epochs_ Grad(), loss. Backward, and optimizer.step(), LR_ The four functions of scheduler. Step() are as follows: train_loader=DataLoader( train_dataset, batch_size=2, shuffle=True ) model=myModel() criterion=nn.CrossEn ...

Posted on Tue, 30 Nov 2021 08:21:08 -0500 by crinkle

Chinese Word Segmentation -- Acquisition and Word2Vec model construction

1. Write in front The corpus used in this paper is Fudan Chinese text classification corpus, which contains 20 categories. Specific codes and resources Click here Download 2. File reading First, we finish reading a text document, remove stopwords, keep only Chinese characters, and then segment words. The following code includes two functions ...

Posted on Thu, 25 Nov 2021 21:04:17 -0500 by CodeToad

Advanced face detection: live detection using OpenCV

In vivo detection using OpenCV In this blog post, you will learn how to perform in vivo detection using OpenCV. You will create a living detector that can find false faces in the face recognition system and perform anti face deception. In the first part of the tutorial, we will discuss living body detection, including what it is and why we ne ...

Posted on Thu, 25 Nov 2021 17:06:47 -0500 by WendyB

NLP natural language processing learning Attention mechanism

Tip: after the article is written, the directory can be generated automatically. Please refer to the help document on the right for how to generate it preface Tip: Here you can add the general contents to be recorded in this article: For example, with the continuous development of artificial intelligence, machine learning technology is ...

Posted on Wed, 24 Nov 2021 23:32:50 -0500 by brooksh

Zero base -2] PaddlePaddle learn Bert

outline Zero base -1] PaddlePaddle learn Bert_ One blog - CSDN bloghttps://blog.csdn.net/qq_42276781/article/details/121488335 Cell 3 # Call tokenizer for bert model tokenizer = ppnlp.transformers.BertTokenizer.from_pretrained('bert-base-chinese') inputs_1 = tokenizer('What a nice day today') print(inputs_1) inputs_2 = tokenizer('Will it rai ...

Posted on Wed, 24 Nov 2021 17:12:04 -0500 by tonymontana

Unsupervised key phrase generation blog 08 -- train_ Analysis of model.py

2021SC@SDUSC We will continue to analyze the train in doc2vec model after 03 blogs_ Model.py code to analyze the specific construction process of doc2vec model. The code is also suitable for the training with pre trained word embedding, and the implementation of the code is based on genism. 1, Train_ Code analysis of model.py import gensim ...

Posted on Sat, 20 Nov 2021 11:54:49 -0500 by beebum

[NLP] text emotion analysis

It was too late last night and the code was not finished. It happened that the accuracy of PSO-LSTM could not be recovered. It was miserable / (o) /. I'll fill in the details today 1, Introduction to emotion analysis   computational research on people's views, emotions, emotions, evaluations and attitudes towards products, services, o ...

Posted on Fri, 19 Nov 2021 23:40:57 -0500 by symchicken