Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation

no code implementations • 29 Mar 2024 • Hanyu Li, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shaoping Ma

In CUT, user similarity in the target domain is adopted as a constraint for user transformation learning to filter the user collaborative information from the source domain.

Modeling User Repeat Consumption Behavior for Online Novel Recommendation

1 code implementation • 5 Sep 2022 • Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Sheng-hua Zhong

In this paper, we concentrate on recommending online novels to new users of an online novel reading platform, whose first visits to the platform occurred in the last seven days.

Aspect-Sentiment-Multiple-Opinion Triplet Extraction

1 code implementation • 14 Oct 2021 • Fang Wang, Yuncong Li, Sheng-hua Zhong, Cunxiang Yin, Yancheng He

Aspect Sentiment Triplet Extraction (ASTE) aims to extract aspect term (aspect), sentiment and opinion term (opinion) triplets from sentences and can tell a complete story, i. e., the discussed aspect, the sentiment toward the aspect, and the cause of the sentiment.

Aspect Sentiment Triplet Extraction Extract Aspect +2

A More Fine-Grained Aspect-Sentiment-Opinion Triplet Extraction Task

5 code implementations • 29 Mar 2021 • Yuncong Li, Fang Wang, Wenjun Zhang, Sheng-hua Zhong, Cunxiang Yin, Yancheng He

Aspect Sentiment Triplet Extraction (ASTE) aims to extract aspect term, sentiment and opinion term triplets from sentences and tries to provide a complete solution for aspect-based sentiment analysis (ABSA).

Aspect-Based Sentiment Analysis Aspect-Sentiment-Opinion Triplet Extraction +2

Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis

1 code implementation • EMNLP 2020 • Yuncong Li, Cunxiang Yin, Sheng-hua Zhong, Xu Pan

Given a sentence and the aspect categories mentioned in the sentence, AC-MIMLLN first predicts the sentiments of the instances, then finds the key instances for the aspect categories, finally obtains the sentiments of the sentence toward the aspect categories by aggregating the key instance sentiments.

Aspect Category Sentiment Analysis Multi-Label Learning +2

Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks

1 code implementation • 4 Oct 2020 • Yuncong Li, Cunxiang Yin, Sheng-hua Zhong

Aspect category sentiment analysis (ACSA) aims to predict the sentiment polarities of the aspect categories discussed in sentences.

Aspect Category Detection Aspect Category Sentiment Analysis +3

AirRL: A Reinforcement Learning Approach to Urban Air Quality Inference

no code implementations • 27 Mar 2020 • Huiqiang Zhong, Cunxiang Yin, Xiaohui Wu, Jinchang Luo, JiaWei He

The model consists of two modules: a station selector and an air quality regressor.

Air Quality Inference reinforcement-learning +1

A Joint Model for Aspect-Category Sentiment Analysis with Shared Sentiment Prediction Layer

no code implementations • CCL 2020 • Yuncong Li, Zhe Yang, Cunxiang Yin, Xu Pan, Lunan Cui, Qiang Huang, Ting Wei

Aspect-category sentiment analysis (ACSA) aims to predict the aspect categories mentioned in texts and their corresponding sentiment polarities.

Aspect Category Sentiment Analysis Sentiment Analysis