A Study of Policy Will Recognition Model for Public Opinion Texts Based on Multi-level Feature Fusion with BERT WENG Ke-ruiZHOU Ya-jieYU Shi-wei Abstract:Traditional policy needs research has gradually shifted to the use of social ...
Phrase-Level Masking:把短语作为一个整体MASK,如a series of作为一个短语整体,被一起【MASK】 4.2 Dialogue Language Model(DLM) 增加了对话数据的任务,如下图所示,数据不是单轮问答的形式(即问题+答案),而是多轮问答的数据,即可以是QQR、QRQ等等。同上面一样,也是把里面的单token、实体、短语【MASK】掉,然后...
nlp machine-learning topic transformers topic-modeling bert topic-models sentence-embeddings topic-modelling ldavis Updated Apr 15, 2025 Python codertimo / BERT-pytorch Star 6.4k Code Issues Pull requests Google AI 2018 BERT pytorch implementation nlp pytorch transformer language-model bert Upda...
Knowledge distillation refers to the idea of model compression by teaching a smaller network, step by step, exactly what to do using a bigger already trained network. The ‘soft labels’ refer to the output feature maps by the bi...
BERT 我变瘦了!但还是很强!model compression 本文中重要的bert模型压缩的论文概要 为什么需要模型的压缩?主要就是因为模型训练太慢了,当然现在提出了一些解决的针对的训练方式(LAMB以及mix precision training),但是过大的模型,特别是现在热门的语言模型,动辄上亿的参数量,导致了很难在工业中进行实际应用,需要耗费...
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...
topic_model.visualize_topics() Modularity By default, themain stepsfor topic modeling with BERTopic are sentence-transformers, UMAP, HDBSCAN, and c-TF-IDF run in sequence. However, it assumes some independence between these steps which makes BERTopic quite modular. In other words, BERTopic not...
This paper explores the heterogeneity of keyBERT, BERTopic, PyCaret and LDAs as key phrase generators and topic model extractors with P53 in ovarian cancer as a use case. PubMed abstract on mutant p53 was first extracted with the Entrez-global database and then preprocessed with Natural Toolkit...
ArchiMate is a powerful enterprise modelling language for the architect's expressiveness. As a result, ArchiMate is sometimes experienced as complex. However, there are a number of parts in the metamodel that can simplify the views. In this white paper, we discuss two forms of simplification, ...
We propose a retrieving-then-answering framework for the task. Its core is the Graph-Based Evidence Retrieval and Aggregation Network. The network enhances the model’s ability to answer a question by leveraging the legal knowledge relevant to the question and its answer options. The experimental ...