Нейронная сеть на основе внимания
Related Papers
Distance Metric Learning for Aspect Phrase Grouping
AbstractAspect phrase grouping is an important task in aspect-level sentiment analysis. It is a challenging problem due to polysemy and context dependency. We propose an Attention-based Deep Distance Metric Learning …...
Learning to Predict Charges for Criminal Cases with Legal Basis
AbstractThe charge prediction task is to determine appropriate charges for a given case, which is helpful for legal assistant systems where the user input is fact description. We argue that …...
Overcoming Language Variation in Sentiment Analysis with Social Attention
AbstractVariation in language is ubiquitous, particularly in newer forms of writing such as social media. Fortunately, variation is not random; it is often linked to social properties of the author. …...
ECNU at SemEval-2018 Task 12: An End-to-End Attention-based Neural Network for the Argument Reasoning Comprehension Task
AbstractThis paper presents our submissions to SemEval 2018 Task 12: the Argument Reasoning Comprehension Task. We investigate an end-to-end attention-based neural network to represent the two lexically close candidate warrants. …...
CSECU_KDE_MA at SemEval-2020 Task 8: A Neural Attention Model for Memotion Analysis
AbstractA meme is a pictorial representation of an idea or theme. In the age of emerging volume of social media platforms, memes are spreading rapidly from person to person and …...
Relational Graph Attention Network for Aspect-based Sentiment Analysis
AbstractAspect-based sentiment analysis aims to determine the sentiment polarity towards a specific aspect in online reviews. Most recent efforts adopt attention-based neural network models to implicitly connect aspects with opinion …...