MDERank: A masked document embedding rank approach for unsupervised keyphrase extraction
Keyphrase extraction (KPE) automatically extracts phrases in a document that provide a
concise summary of the core content, which benefits downstream information retrieval and …
concise summary of the core content, which benefits downstream information retrieval and …
Phrase2Vec: phrase embedding based on parsing
Y Wu, S Zhao, W Li - Information Sciences, 2020 - Elsevier
Text is one of the most common unstructured data, and usually, the most primary task in text
mining is to transfer the text into a structured representation. However, the existing text …
mining is to transfer the text into a structured representation. However, the existing text …
A novel topic clustering algorithm based on graph neural network for question topic diversity
Y Wu, X Wang, W Zhao, X Lv - Information Sciences, 2023 - Elsevier
In community question answering, many questions have no topic labeling or the topic
labeling is very diverse, which has become the biggest obstacle to building the bridge …
labeling is very diverse, which has become the biggest obstacle to building the bridge …
Community answer generation based on knowledge graph
Y Wu, S Zhao - Information Sciences, 2021 - Elsevier
Abstract Community Question Answering (CQA) has become an indispensable way for
modern people to share and acquire knowledge. It allows users to ask questions, which will …
modern people to share and acquire knowledge. It allows users to ask questions, which will …
Automatic computer science domain multiple-choice questions generation based on informative sentences
Students require continuous feedback for effective learning. Multiple choice questions
(MCQs) are extensively used among various assessment methods to provide such …
(MCQs) are extensively used among various assessment methods to provide such …
A novel community answer matching approach based on phrase fusion heterogeneous information network
Y Wu, S Zhao, R Guo - Information Processing & Management, 2021 - Elsevier
Abstract Community Question Answering (CQA) allows users to ask or answer questions in
a social way, so it is becoming the primary means for people acquiring knowledge …
a social way, so it is becoming the primary means for people acquiring knowledge …
Community answer recommendation based on heterogeneous semantic fusion
Y Wu, H Yin, Q Zhou, J Dong, D Wei, D Liu - Expert Systems with …, 2024 - Elsevier
The community question-answering system has gradually replaced the search engine as the
primary way for people to acquire and share knowledge. Users' interactive behavior …
primary way for people to acquire and share knowledge. Users' interactive behavior …
HAMNER: Headword amplified multi-span distantly supervised method for domain specific named entity recognition
Abstract To tackle Named Entity Recognition (NER) tasks, supervised methods need to
obtain sufficient cleanly annotated data, which is labor and time consuming. On the contrary …
obtain sufficient cleanly annotated data, which is labor and time consuming. On the contrary …
ParsingPhrase: parsing-based automated quality phrase mining
Y Wu, S Zhao, S Dou, J Li - Information Sciences, 2023 - Elsevier
Phrases represent independent semantics in natural language but usually have
indeterminate lengths and different combinations. So, extracting meaningful phrases from …
indeterminate lengths and different combinations. So, extracting meaningful phrases from …
Quad-Faceted Feature-Based Graph Network for Domain-Agnostic Text Classification to Enhance Learning Effectiveness
Enhancing learning effectiveness requires one to define suitable learning outcomes and
align assessment constructs with these outcomes. We present a quad-faceted feature-based …
align assessment constructs with these outcomes. We present a quad-faceted feature-based …