We study a method to leverage syntactic information without explicitly building the parser outputs, by training an encoder-decoder structure parser model.

We study a method to leverage syntactic information without explicitly building the parser outputs, by training an encoder-decoder structure parser model on ...

Features for Targeted Sentiment Analysis | Target-dependent sentiment analysis investigates the sentiment polarities on given target mentions from input texts.

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Table of Contents · Abstract · 1 Introduction · 2 Model. 2.1 Input representation; 2.2 Syntactic Sub Models. 2.2.1 POS Model; 2.2.2 Dependency Model. 2.3 Target- ...

Target-dependent twitter sentiment classification with rich automatic features. ... Dependency implicit features show robust and stable in different.

Bibliographic details on Implicit Syntactic Features for Target-dependent Sentiment Analysis.

We propose a brand-new unified framework for ABSA in this work, which incorporates both implicit sentiment knowledge and explicit syntax knowledge to better ...

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Syntactic features are useful for many text classification tasks. Among these, tree kernels (Collins and Duffy, 2001) have been perhaps the most robust and ...