activity
20192021
most citedMultimodal Joint Attribute Prediction and Value Extraction for E-commerce Product

14 citations · 14 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL2021

Conversational Query Rewriting with Self-supervised Learning

Hang Liu, Meng Chen, Youzheng Wu +2

Context modeling plays a critical role in building multi-turn dialogue systems. Conversational Query Rewriting (CQR) aims to simplify the multi-turn dialogue modeling into a single…

cs.CL2020

Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training

Yingyao Wang, Junwei Bao, Guangyi Liu +4

This paper aims to enhance the few-shot relation classification especially for sentences that jointly describe multiple relations. Due to the fact that some relations usually keep…

cs.CL202014 cited

Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product

Tiangang Zhu, Yue Wang, Haoran Li +3

Product attribute values are essential in many e-commerce scenarios, such as customer service robots, product recommendations, and product retrieval. While in the real world, the a…

cs.CL2019

The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service

Meng Chen, Ruixue Liu, Lei Shen +5

Human conversations are complicated and building a human-like dialogue agent is an extremely challenging task. With the rapid development of deep learning techniques, data-driven m…

cs.AI2019

Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination

Ruixue Liu, Baoyang Chen, Meng Chen +3

We present a novel real-time, collaborative, and interactive AI painting system, Mappa Mundi, for artistic Mind Map creation. The system consists of a voice-based input interface,…