Feng Li

Learning from the past: Improving news summarization with past news articles

2015

One common approach to single-document news summarization involves scoring and ranking individual sentences within an input story. We demonstrate that the accuracy of this scoring process can be improved by looking beyond the text found …

A nover view on context aware recommender system in mobile environment

2016

With the rapid development of wireless communication and mobile internet, it is impossible to obtain high-quality recommendation just depending on traditional user-item binary relation. How to use multi-context to generate satisfying recommendation in such a …

Temporal Relation Extraction with Joint Semantic and Syntactic Attention

2022 · Computational Intelligence and Neuroscience

Determining the temporal relationship between events has always been a challenging natural language understanding task. Previous research mainly relies on neural networks to learn effective features or artificial language features to extract temporal relationships, which …

Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning

2025 · Proceedings of the AAAI Conference on Artificial Intelligence

Zero-shot learning (ZSL) endeavors to transfer knowledge from the seen categories to recognize unseen categories, which mostly relies on the semantic-visual interactions between image and attribute tokens. Recently, the prompt learning has emerged in ZSL …

Chinese Knowledge Base Question Answering by Attention-Based Multi-Granularity Model

2018 · Information

Chinese knowledge base question answering (KBQA) is designed to answer the questions with the facts contained in a knowledge base. This task can be divided into two subtasks: topic entity extraction and relation selection. During …