如果存在一个可以完美区分两个类别之间样本的 hyperplane,我们称这两个类别时可以被线性分离的(linearly separable)。线性分类模型的本质即是在拟合线性问题(linear problem)的 class boundaries。相反,如果一个问题的 class boundaries 不能很好地被线性函数拟合,我们称这个问题为非线性问题(non-linear problem)。kNN 就...
Courville, and Vincent 2013) have led to new ideas for solving the data sparsity problem, and many neural models for learning word representations have been proposed (Bengio et al. 2003; Mnih and Hinton 2007; Mikolov 2012; Collobert et al. 2011; Huang et al. 2012; Mikolov et al...
This article is devoted to the problem of defining a genre in computer linguistics and searching for parameters that could formalize the concept of a genre. All kinds of existing typologies of genres rely on different types of features, whereas in the practice of NLP, any modern applications ...
A one-grained problem in Natural Language Processing (NLP), "Aspect-Based Sentiment Analysis (ABSA)" seeks to predict the sentiment polarity of several fea... N. Lakshmi Devi,B. Anilkumar,A. Mary Sowjanya,... - Multimedia Tools and Applications 被引量: 0发表: 2024年 Automating tourism onl...
In this paper, we consider the problem of sentiment classification of English Twit- ter messages using machine learning tech- niques. We systematically evaluate the use of different feature types on the per- formance of two text classifi... BM Badr,Syeda Sameen Fatima - NLP Association of Ind...
I'm currently using Hugging Face's transformers library for Zero Shot Classification to analyze Customer reviews of products (in Spanish), but I'm facing a scalability problem. At first, I was using the model below, but it takes too long to process each review text (I need to process aro...
The Problem of Fascism in Everyday Life A web-based system providing a service for on demand editing, navigation, and augmenting of audiovisual files comprising a pinner/navigator which automatically creates a .CXU file of an audiovisual project file uploaded to the service, t... GV Loewen ...
We consider the problem of multitask learning (MTL), in which we simultaneously learn classifiers for multiple data sets (tasks), with sharing of intertask data as appropriate. We introduce a set of relevance parameters that control the degree to which data from other tasks are used in estimat...
Part of NLP Collective Report this ad 12 I am working on a TextClassification problem, for which I am trying to traing my model on TFBertForSequenceClassification given in huggingface-transformers library. I followed the example given on their github page, I am able to run the sample...
2) With an appropriate layer-wise decreasing learning rate, BERT can overcome the catastrophic forgetting problem; 3) Within-task and in-domain further pre-training can significantly boost its performance; 4) A preceding multi-task fine-tuning is also helpful to the single-task fine-tuning, ...