8. Maragkos , K. E.,P. E. Maravelakis. Extracting primary emotions and topics from the Al-Hayat media centre magazine publications, using topic modelling and lexicon-based approaches[J]. Social Science Computer Review, 2023(5)...
后面的研究者发现,NSP给BERT带来不好的影响,主要原因是跟MLM任务相比,任务难度太小了。 具体的,把NSP分别topic prediction(主题预测)和coherence prediction(一致性预测),很明显NSP是比较偏向主题预测的(预测句子对是否是同一文档的连续片段),而topic prediction相对clherence prediction是比较简单的。 SOP将负样本换成了...
nlpmachine-learningtopictransformerstopic-modelingberttopic-modelssentence-embeddingstopic-modellingldavis UpdatedMar 25, 2025 Python PaddlePaddle/ERNIE Star6.4k Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding...
topic-modelingberttopic-modellingbert-modelgoogle-bertbert-embeddings UpdatedJun 1, 2021 Jupyter Notebook Susam-Sokagi/Muze-Asistani Star6 Code Issues Pull requests Kişisel Asistanınız ile Yeni Keşiflere Hazır Olun! nlpquestion-answeringbertteknofestbert-modelgoogle-bertacikhackbert-quest...
BERT预训练任务有两种：Masked Language Modelling（MLM） 和 Next Sentence Prediction （NSP）。MLM：...
https://towardsdatascience.com/masked-language-modelling-with-bert-7d49793e5d2cMLM详解 https://zhuanlan.zhihu.com/p/70218096XLNET https://zhuanlan.zhihu.com/p/409867119腾讯预训练模型 https://mp.weixin.qq.com/s/EZciiZEVCn45Hm1Cqz8PqQ 预训练模型综述...
On the other hand topic modelling is a NLP task that extracts the relevant topic from the textual document. One such method is Latent semantic Analysis (LSA) using truncated SVD which extracts all the relevant topics from the text. This paper has demonstrated the experiment in which the ...
词嵌入相关的参数变化前是变换后的28倍。 以下是code snippet,有删减节选,具体详见modelling.py defembedding_lookup_factorized(...):embedding_table=tf.get_variable(# [vocab_size, embedding_size]name=word_embedding_name,shape=[vocab_size,embedding_size],initializer=create_initializer(initializer_range))....
arrow_drop_up0 Copy & Edit13 more_vert BERT Topic Modelling Copied from Maarten (+2,-28)NotebookInputOutputLogsComments (0)Output Data Download notebook output navigate_nextminimize content_copyhelpSyntaxError: Unexpected token '<', "<!doctype "... is not valid JSON...
Input DATASETS crypto-news Language Python License This Notebook has been released under the Apache 2.0 open source license. Continue exploring Input1 file arrow_right_alt Output0 files arrow_right_alt Logs3.2 second run - successful arrow_right_alt Comments2 comments arrow_right_alt...