Xiaodong Zhang

Interactive Attention Networks for Aspect-Level Sentiment Classification

2017 · arXiv (Cornell University)

Aspect-level sentiment classification aims at identifying the sentiment polarity of specific target in its context. Previous approaches have realized the importance of targets in sentiment classification and developed various methods with the goal of precisely …

Influence of entanglement on precision of parameter estimation in quantum weak measurement

2021 · Acta Physica Sinica

An appropriate weak value can be used to amplify weak physical parameters and improve the precision of parameter estimation in the process of quantum weak measurement. The increase of the precision of such a parameter …

An industrial experience report on retro-inspection

2022

To reinforce the quality of code delivery, especially to improve future coding quality, one global Information and Communication Technology (ICT) enterprise has institutionalized a retrospective style inspection (namely retro-inspection), which is similar to Fagan inspection …

Challenges and Innovative Practices in Software Engineering and Service Computing Education

2025

Software engineering and service computing education play a vital role in service economy. To address the increasing demand for innovative and application-oriented pro-fessionals, it is crucial to overcome challenges such as compressed course hours, an …

Bidirectional Recurrent Convolutional Neural Network for Relation Classification

2016

Relation classification is an important semantic processing task in the field of natural language processing (NLP). In this paper, we present a novel model BRCNN to classify the relation of two entities in a sentence. …

A joint model of intent determination and slot filling for spoken language understanding

2016

Two major tasks in spoken language understanding (SLU) are intent determination (ID) and slot filling (SF). Recurrent neural networks (RNNs) have been proved effective in SF, while there is no prior work using RNNs in …

Duplicate Question Identification by Integrating FrameNet With Neural Networks

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

There are two major problems in duplicate question identification, namely lexical gap and essential constituents matching. Previous methods either design various similarity features or learn representations via neural networks, which try to solve the lexical …

Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach

2018

Jingjing Xu, Xu Sun, Qi Zeng, Xiaodong Zhang, Xuancheng Ren, Houfeng Wang, Wenjie Li. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2018.