Changxing Wu

Orcid: 0000-0002-0557-3604

According to our database1, Changxing Wu authored at least 15 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Modeling different effects of user and product attributes on review sentiment classification.
Appl. Intell., January, 2024

2023
Meta-learning based instance manipulation for implicit discourse relation recognition.
Knowl. Based Syst., 2023

2022
A Label Dependence-Aware Sequence Generation Model for Multi-Level Implicit Discourse Relation Recognition.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Label Dependence-aware Sequence Generation Model for Multi-level Implicit Discourse Relation Recognition.
CoRR, 2021

2020
Hierarchical multi-task learning with CRF for implicit discourse relation recognition.
Knowl. Based Syst., 2020

PAN: Pipeline assisted neural networks model for data-to-text generation in social internet of things.
Inf. Sci., 2020

2019
Boosting implicit discourse relation recognition with connective-based word embeddings.
Neurocomputing, 2019

2018
Exploring Implicit Semantic Constraints for Bilingual Word Embeddings.
Neural Process. Lett., 2018

Cross-lingual implicit discourse relation recognition with co-training.
Frontiers Inf. Technol. Electron. Eng., 2018

A neural generative autoencoder for bilingual word embeddings.
Inf. Sci., 2018

2017
Co-training for Implicit Discourse Relation Recognition Based on Manual and Distributed Features.
Neural Process. Lett., 2017

Leveraging bilingually-constrained synthetic data via multi-task neural networks for implicit discourse relation recognition.
Neurocomputing, 2017

Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Adapted competitive learning on continuous semantic space for word sense induction.
Neurocomputing, 2016

Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016


  Loading...