158 citations · 228 across the 12 of their papers we have counts for
14 papers · 1 filter
Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing
Yibo Wang, Congying Xia, Guan Wang +1
The explosion of e-commerce has caused the need for processing and analysis of product titles, like entity typing in product titles. However, the rapid activity in e-commerce has l…
Multifaceted Improvements for Conversational Open-Domain Question Answering
Tingting Liang, Yixuan Jiang, Congying Xia +3
Open-domain question answering (OpenQA) is an important branch of textual QA which discovers answers for the given questions based on a large number of unstructured documents. Effe…
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization
Ye Liu, Jian-Guo Zhang, Yao Wan +3
To capture the semantic graph structure from raw text, most existing summarization approaches are built on GNNs with a pre-trained model. However, these methods suffer from cumbers…
Cross-lingual COVID-19 Fake News Detection
Jiangshu Du, Yingtong Dou, Congying Xia +3
The COVID-19 pandemic poses a great threat to global public health. Meanwhile, there is massive misinformation associated with the pandemic which advocates unfounded or unscientifi…
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
Jianguo Zhang, Trung Bui, Seunghyun Yoon +6
In this work, we focus on a more challenging few-shot intent detection scenario where many intents are fine-grained and semantically similar. We present a simple yet effective few-…
Pseudo Siamese Network for Few-shot Intent Generation
Congying Xia, Caiming Xiong, Philip Yu
Few-shot intent detection is a challenging task due to the scare annotation problem. In this paper, we propose a Pseudo Siamese Network (PSN) to generate labeled data for few-shot…