activity
20192022
most citedTexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis

20 citations · 48 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CL20222 cited

Context Enhanced Short Text Matching using Clickthrough Data

Mao Yan Chen, Haiyun Jiang, Yujiu Yang

The short text matching task employs a model to determine whether two short texts have the same semantic meaning or intent. Existing short text matching models usually rely on the…

cs.CL20221 cited

Rethink the Evaluation for Attack Strength of Backdoor Attacks in Natural Language Processing

Lingfeng Shen, Haiyun Jiang, Lemao Liu +1

It has been shown that natural language processing (NLP) models are vulnerable to a kind of security threat called the Backdoor Attack, which utilizes a `backdoor trigger' paradigm…

cs.CL20217 cited

A Question-answering Based Framework for Relation Extraction Validation

Jiayang Cheng, Haiyun Jiang, Deqing Yang +1

Relation extraction is an important task in knowledge acquisition and text understanding. Existing works mainly focus on improving relation extraction by extracting effective featu…

cs.CL202020 cited

TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis

Haisong Zhang, Lemao Liu, Haiyun Jiang +14

This technique report introduces TexSmart, a text understanding system that supports fine-grained named entity recognition (NER) and enhanced semantic analysis functionalities. Com…

cs.CL20204 cited

InSRL: A Multi-view Learning Framework Fusing Multiple Information Sources for Distantly-supervised Relation Extraction

Zhendong Chu, Haiyun Jiang, Yanghua Xiao +1

Distant supervision makes it possible to automatically label bags of sentences for relation extraction by leveraging knowledge bases, but suffers from the sparse and noisy bag issu…

cs.CL20204 cited

Complex Relation Extraction: Challenges and Opportunities

Haiyun Jiang, Qiaoben Bao, Qiao Cheng +3

Relation extraction aims to identify the target relations of entities in texts. Relation extraction is very important for knowledge base construction and text understanding. Tradit…