56 citations · 82 across the 6 of their papers we have counts for
6 papers
A Unified Generative Framework for Aspect-Based Sentiment Analysis
Hang Yan, Junqi Dai, Tuo ji +2
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…
A Unified Generative Framework for Various NER Subtasks
Hang Yan, Tao Gui, Junqi Dai +3
Named Entity Recognition (NER) is the task of identifying spans that represent entities in sentences. Whether the entity spans are nested or discontinuous, the NER task can be cate…
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
Ruiqi Zhong, Kristy Lee, Zheng Zhang +1
Large pre-trained language models (LMs) such as GPT-3 have acquired a surprising ability to perform zero-shot learning. For example, to classify sentiment without any training exam…
Transformer on a Diet
Chenguang Wang, Zihao Ye, Aston Zhang +2
Transformer has been widely used thanks to its ability to capture sequence information in an efficient way. However, recent developments, such as BERT and GPT-2, deliver only heavy…
Multi-Scale Self-Attention for Text Classification
Qipeng Guo, Xipeng Qiu, Pengfei Liu +2
In this paper, we introduce the prior knowledge, multi-scale structure, into self-attention modules. We propose a Multi-Scale Transformer which uses multi-scale multi-head self-att…
BP-Transformer: Modelling Long-Range Context via Binary Partitioning
Zihao Ye, Qipeng Guo, Quan Gan +2
The Transformer model is widely successful on many natural language processing tasks. However, the quadratic complexity of self-attention limit its application on long text. In thi…