activity
20182020
most citedA BERT based Sentiment Analysis and Key Entity Detection Approach for Online Financial Texts

23 citations · 27 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2020★ 2 cited

Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach

Xian Zhong, Cheng Gu, Wenxin Huang +3

Few-shot learning is a challenging problem that has attracted more and more attention recently since abundant training samples are difficult to obtain in practical applications. Me…

cs.CL2020★ 23 cited

A BERT based Sentiment Analysis and Key Entity Detection Approach for Online Financial Texts

Lingyun Zhao, Lin Li, Xinhao Zheng

The emergence and rapid progress of the Internet have brought ever-increasing impact on financial domain. How to rapidly and accurately mine the key information from the massive ne…

cs.IR2019★ 1 cited

An Item Recommendation Approach by Fusing Images based on Neural Networks

Weibin Lin, Lin Li

There are rich formats of information in the network, such as rating, text, image, and so on, which represent different aspects of user preferences. In the field of recommendation,…

cs.CL2019★ 1 cited

Deep neural network-based classification model for Sentiment Analysis

Donghang Pan, Jingling Yuan, Lin Li +1

The growing prosperity of social networks has brought great challenges to the sentimental tendency mining of users. As more and more researchers pay attention to the sentimental te…

cs.IR2019

Combining Q&A Pair Quality and Question Relevance Features on Community-based Question Retrieval

Dong Li, Lin Li

The Q&A community has become an important way for people to access knowledge and information from the Internet. However, the existing translation based on models does not consider…

cs.CL2019

Using Context Information to Enhance Simple Question Answering

Lin Li, Mengjing Zhang, Zhaohui Chao +1

With the rapid development of knowledge bases(KBs),question answering(QA)based on KBs has become a hot research issue. In this paper,we propose two frameworks(i.e.,pipeline framewo…