The state of the art in open domain complex question answering: a survey
R Etezadi, M Shamsfard - Applied Intelligence, 2023 - Springer
Research on question answering (QA) systems has a long tradition. QA systems, as widely
used systems in various applications, seek to find the answers to the given questions …
used systems in various applications, seek to find the answers to the given questions …
Personalized recommendation system based on knowledge embedding and historical behavior
B Hui, L Zhang, X Zhou, X Wen, Y Nian - Applied Intelligence, 2022 - Springer
Collaborative filtering (CF) usually suffers from limited performance in recommendation
systems due to the sparsity of user–item interactions and cold start problems. To address …
systems due to the sparsity of user–item interactions and cold start problems. To address …
Modeling sentiment dependencies with graph convolutional networks for aspect-level sentiment classification
P Zhao, L Hou, O Wu - Knowledge-Based Systems, 2020 - Elsevier
Aspect-level sentiment classification aims to distinguish the sentiment polarities over one or
more aspect terms in a sentence. Existing approaches mostly model different aspects in one …
more aspect terms in a sentence. Existing approaches mostly model different aspects in one …
An improved aspect-category sentiment analysis model for text sentiment analysis based on RoBERTa
W Liao, B Zeng, X Yin, P Wei - Applied Intelligence, 2021 - Springer
The aspect-category sentiment analysis can provide more and deeper information than the
document-level sentiment analysis, because it aims to predict the sentiment polarities of …
document-level sentiment analysis, because it aims to predict the sentiment polarities of …
Question answering survey: Directions, challenges, datasets, evaluation matrices
The usage and amount of information available on the internet increase over the past
decade. This digitization leads to the need for automated answering system to extract fruitful …
decade. This digitization leads to the need for automated answering system to extract fruitful …
Sentiment analysis of Chinese stock reviews based on BERT model
M Li, L Chen, J Zhao, Q Li - Applied Intelligence, 2021 - Springer
A large number of stock reviews are available on the Internet. Sentiment analysis of stock
reviews has strong significance in research on the financial market. Due to the lack of a …
reviews has strong significance in research on the financial market. Due to the lack of a …
The impact of preprocessing on word embedding quality: A comparative study
Z Rahimi, MM Homayounpour - Language Resources and Evaluation, 2023 - Springer
Data preprocessing is among the principal stages in virtually all text-based tasks. In this
light, recent approaches have employed word embeddings in the majority of text-based …
light, recent approaches have employed word embeddings in the majority of text-based …
Automatic question-answer pairs generation and question similarity mechanism in question answering system
With the swift growth of the information over the past few years, taking full benefit is
increasingly essential. Question Answering System is one of the promising methods to …
increasingly essential. Question Answering System is one of the promising methods to …
ADRL: An attention-based deep reinforcement learning framework for knowledge graph reasoning
Q Wang, Y Hao, J Cao - Knowledge-Based Systems, 2020 - Elsevier
Abstract Knowledge graph reasoning is one of the key technologies for knowledge graph
construction, which plays an important part in application scenarios such as vertical search …
construction, which plays an important part in application scenarios such as vertical search …
CFERE: Multi-type Chinese financial event relation extraction
Extracting various types of event relations in financial texts can benefit many downstream
applications supporting financial analysis. This paper addresses the multi-type event …
applications supporting financial analysis. This paper addresses the multi-type event …