Hang Yan

Learning Sparse Sharing Architectures for Multiple Tasks

2020 · Proceedings of the AAAI Conference on Artificial Intelligence

Most existing deep multi-task learning models are based on parameter sharing, such as hard sharing, hierarchical sharing, and soft sharing. How choosing a suitable sharing mechanism depends on the relations among the tasks, which is …

A Unified Generative Framework for Aspect-Based Sentiment Analysis

2021 · arXiv (Cornell University)

Aspect-based Sentiment Analysis (ABSA) aims to identify the aspect terms, their corresponding sentiment polarities, and the opinion terms. There exist seven subtasks in ABSA. Most studies only focus on the subsets of these subtasks, which …

TENER: Adapting Transformer Encoder for Named Entity Recognition

2019 · arXiv (Cornell University)

The Bidirectional long short-term memory networks (BiLSTM) have been widely used as an encoder in models solving the named entity recognition (NER) task. Recently, the Transformer is broadly adopted in various Natural Language Processing (NLP) …

FLAT: Chinese NER Using Flat-Lattice Transformer

2020

Recently, the character-word lattice structure has been proved to be effective for Chinese named entity recognition (NER) by incorporating the word information. However, since the lattice structure is complex and dynamic, most existing lattice-based models …