Search Results for author: Xinyu Dai

Found 9 papers, 4 papers with code

Energy-based Unknown Intent Detection with Data Manipulation

1 code implementation27 Jul 2021 Yawen Ouyang, Jiasheng Ye, Yu Chen, Xinyu Dai, ShuJian Huang, Jiajun Chen

Unknown intent detection aims to identify the out-of-distribution (OOD) utterance whose intent has never appeared in the training set.

Intent Detection

Dual Side Deep Context-aware Modulation for Social Recommendation

1 code implementation16 Mar 2021 Bairan Fu, Wenming Zhang, GuangNeng Hu, Xinyu Dai, ShuJian Huang, Jiajun Chen

Specifically, we first proposed a novel graph neural network to model the social relation and collaborative relation, and on top of high-order relations, a dual side deep context-aware modulation is introduced to capture the friends' information and item attraction.

Opinion Transmission Network for Jointly Improving Aspect-oriented Opinion Words Extraction and Sentiment Classification

no code implementations1 Nov 2020 Chengcan Ying, Zhen Wu, Xinyu Dai, ShuJian Huang, Jiajun Chen

In this paper, we propose a novel joint model, Opinion Transmission Network (OTN), to exploit the potential bridge between ALSC and AOWE to achieve the goal of facilitating them simultaneously.

Aspect-Based Sentiment Analysis General Classification

Transformer-based Multi-Aspect Modeling for Multi-Aspect Multi-Sentiment Analysis

no code implementations1 Nov 2020 Zhen Wu, Chengcan Ying, Xinyu Dai, ShuJian Huang, Jiajun Chen

To facilitate the research of ABSA, NLPCC 2020 Shared Task 2 releases a new large-scale Multi-Aspect Multi-Sentiment (MAMS) dataset.

Aspect-Based Sentiment Analysis

Attention Transfer Network for Aspect-level Sentiment Classification

1 code implementation COLING 2020 Fei Zhao, Zhen Wu, Xinyu Dai

In neural network-based methods for ASC, most works employ the attention mechanism to capture the corresponding sentiment words of the opinion target, then aggregate them as evidence to infer the sentiment of the target.

Classification Document-level +2

Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction

2 code implementations Findings of the Association for Computational Linguistics 2020 Zhen Wu, Chengcan Ying, Fei Zhao, Zhifang Fan, Xinyu Dai, Rui Xia

To validate the feasibility and compatibility of GTS, we implement three different GTS models respectively based on CNN, BiLSTM, and BERT, and conduct experiments on the aspect-oriented opinion pair extraction and opinion triplet extraction datasets.

Aspect Sentiment Triplet Extraction

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