Нейрондық назар механизмі

method ID: neuralattentionmechanism

Related Papers

Deep Joint Entity Disambiguation with Local Neural Attention

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractWe propose a novel deep learning model for joint document-level entity disambiguation, which leverages learned neural representations. Key components are entity embeddings, a neural attention mechanism over local context windows, …...

32672

Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractAspect-based sentiment analysis (ABSA) is to predict the sentiment polarity towards a particular aspect in a sentence. Recently, this task has been widely addressed by the neural attention mechanism, which …...

41661

Neural Attentive Bag-of-Entities Model for Text Classification

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractThis study proposes a Neural Attentive Bag-of-Entities model, which is a neural network model that performs text classification using entities in a knowledge base. Entities provide unambiguous and relevant semantic …...

41696

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThe neural attention mechanism plays an important role in many natural language processing applications. In particular, multi-head attention extends single-head attention by allowing a model to jointly attend information from …...

31267