Jiajun Chen

Dual Side Deep Context-aware Modulation for Social Recommendation

2021 · arXiv (Cornell University)

Social recommendation is effective in improving the recommendation performance by leveraging social relations from online social networking platforms. Social relations among users provide friends' information for modeling users' interest in candidate items and help items …

A Hierarchical Network for Multimodal Document-Level Relation Extraction

2024 · Proceedings of the AAAI Conference on Artificial Intelligence

Document-level relation extraction aims to extract entity relations that span across multiple sentences. This task faces two critical issues: long dependency and mention selection. Prior works address the above problems from the textual perspective, however, …

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token

2025 · arXiv (Cornell University)

Generating adversarial examples contributes to mainstream neural machine translation~(NMT) robustness. However, popular adversarial policies are apt for fixed tokenization, hindering its efficacy for common character perturbations involving versatile tokenization. Based on existing adversarial generation via …

Deep Matrix Factorization Models for Recommender Systems

2017

Recommender systems usually make personalized recommendation with user-item interaction ratings, implicit feedback and auxiliary information. Matrix factorization is the basic idea to predict a personalized ranking over a set of items for an individual user …

Word-Context Character Embeddings for Chinese Word Segmentation

2017

Neural parsers have benefited from automatically labeled data via dependencycontext word embeddings. We investigate training character embeddings on a word-based context in a similar way, showing that the simple method significantly improves state-of-the-art neural word …

Generating Sentences from Disentangled Syntactic and Semantic Spaces

2019

Variational auto-encoders (VAEs) are widely used in natural language generation due to the regularization of the latent space. However, generating sentences from the continuous latent space does not explicitly model the syntactic information. In this …