Next generation cloud computing: New trends and research directions

B Varghese, R Buyya - Future Generation Computer Systems, 2018 - Elsevier
The landscape of cloud computing has significantly changed over the last decade. Not only
have more providers and service offerings crowded the space, but also cloud infrastructure …

A survey of heterogeneous information network analysis

C Shi, Y Li, J Zhang, Y Sun… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Most real systems consist of a large number of interacting, multi-typed components, while
most contemporary researches model them as homogeneous information networks, without …

Automated phrase mining from massive text corpora

J Shang, J Liu, M Jiang, X Ren… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
As one of the fundamental tasks in text analysis, phrase mining aims at extracting quality
phrases from a text corpus and has various downstream applications including information …

Cotype: Joint extraction of typed entities and relations with knowledge bases

X Ren, Z Wu, W He, M Qu, CR Voss, H Ji… - Proceedings of the 26th …, 2017 - dl.acm.org
Extracting entities and relations for types of interest from text is important for understanding
massive text corpora. Traditionally, systems of entity relation extraction have relied on …

Scimine: An efficient systematic prioritization model based on richer semantic information

F Guo, Y Luo, L Yang, Y Zhang - … of the 46th International ACM SIGIR …, 2023 - dl.acm.org
Systematic review is a crucial method that has been widely used. by scholars from different
research domains. However, screening for relevant scientific literature from paper …

Task-guided and path-augmented heterogeneous network embedding for author identification

T Chen, Y Sun - Proceedings of the tenth ACM international conference …, 2017 - dl.acm.org
In this paper, we study the problem of author identification under double-blind review setting,
which is to identify potential authors given information of an anonymized paper. Different …

Keyphrase generation with correlation constraints

J Chen, X Zhang, Y Wu, Z Yan, Z Li - arXiv preprint arXiv:1808.07185, 2018 - arxiv.org
In this paper, we study automatic keyphrase generation. Although conventional approaches
to this task show promising results, they neglect correlation among keyphrases, resulting in …

Contextualized weak supervision for text classification

D Mekala, J Shang - Proceedings of the 58th Annual Meeting of …, 2020 - aclanthology.org
Weakly supervised text classification based on a few user-provided seed words has recently
attracted much attention from researchers. Existing methods mainly generate pseudo-labels …

Word embeddings and convolutional neural network for arabic sentiment classification

A Dahou, S Xiong, J Zhou, MH Haddoud… - Proceedings of coling …, 2016 - aclanthology.org
With the development and the advancement of social networks, forums, blogs and online
sales, a growing number of Arabs are expressing their opinions on the web. In this paper, a …

Customer preferences extraction for air purifiers based on fine-grained sentiment analysis of online reviews

J Zhang, A Zhang, D Liu, Y Bian - Knowledge-Based Systems, 2021 - Elsevier
Consumers are increasingly caring about air quality, and the air purifier market is facing
fierce competition. In the era of e-commerce, it is possible to improve product design and …