نتایج جستجو برای: context features

تعداد نتایج: 918558  

Journal: :Expert Systems With Applications 2023

Sarcasm detection is an essential task that can help identify the actual sentiment in user-generated data, such as discussion forums or tweets. a sophisticated form of linguistic expression because its surface meaning usually contradicts inner, deeper meaning. In this paper, we propose model, incorporates different features to capture sarcasm. We use pre-trained transformer and CNN context feat...

Journal: :ECONOMIC BULLETIN OF THE DNIPROVSK STATE TECHNICAL UNIVERSITY 2021

Journal: :Attention, Perception, & Psychophysics 2019

Journal: :Lecture Notes in Computer Science 2022

Predicting complete response to radiotherapy in rectal cancer patients using deep learning approaches from morphological features extracted histology biopsies provides a quick, low-cost and effective way assist clinical decision making. We propose adjustments the Vision Transformer (ViT) network improve utilisation of contextual information present whole slide images (WSIs). Firstly, our positi...

Word sense disambiguation is the task of identifying the correct sense for the word in a given context among a finite set of possible sense. In this paper a model for farsi word sense disambiguation is presented. The model use two group of features: first, all word and stop words around target word and topic models as second features. We extract topics from a farsi corpus with Latent Dirichlet ...

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