Search Results for author: Zhihong Shen

Found 12 papers, 5 papers with code

Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding

no code implementations23 May 2023 Yu Zhang, Hao Cheng, Zhihong Shen, Xiaodong Liu, Ye-Yi Wang, Jianfeng Gao

Scientific literature understanding tasks have gained significant attention due to their potential to accelerate scientific discovery.

Citation Prediction Contrastive Learning

SciConceptMiner: A system for large-scale scientific concept discovery

no code implementations ACL 2021 Zhihong Shen, Chieh-Han Wu, Li Ma, Chien-Pang Chen, Kuansan Wang

In this paper, we introduce a self-supervised end-to-end system, SciConceptMiner, for the automatic capture of emerging scientific concepts from both independent knowledge sources (semi-structured data) and academic publications (unstructured documents).

MATCH: Metadata-Aware Text Classification in A Large Hierarchy

1 code implementation15 Feb 2021 Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han

Multi-label text classification refers to the problem of assigning each given document its most relevant labels from the label set.

General Classification Multi Label Text Classification +2

Explainable and Sparse Representations of Academic Articles for Knowledge Exploration

no code implementations COLING 2020 Keng-Te Liao, Zhihong Shen, Chiyuan Huang, Chieh-Han Wu, PoChun Chen, Kuansan Wang, Shou-De Lin

Provided with the interpretable concepts and knowledge encoded in a pre-trained neural model, we investigate whether the tagged concepts can be applied to a broader class of applications.

A Scalable Hybrid Research Paper Recommender System for Microsoft Academic

1 code implementation21 May 2019 Anshul Kanakia, Zhihong Shen, Darrin Eide, Kuansan Wang

We present the design and methodology for the large scale hybrid paper recommender system used by Microsoft Academic.

Recommendation Systems

A Web-scale system for scientific knowledge exploration

no code implementations ACL 2018 Zhihong Shen, Hao Ma, Kuansan Wang

To enable efficient exploration of Web-scale scientific knowledge, it is necessary to organize scientific publications into a hierarchical concept structure.

Efficient Exploration TAG

A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations

no code implementations17 Apr 2017 Yuxiao Dong, Hao Ma, Zhihong Shen, Kuansan Wang

We find that science has benefited from the shift from individual work to collaborative effort, with over 90% of the world-leading innovations generated by collaborations in this century, nearly four times higher than they were in the 1900s.

Digital Libraries Social and Information Networks Physics and Society

An Overview of Microsoft Academic Service (MAS) and Applications

no code implementations WWW 2015 Arnab Sinha, Zhihong Shen, Yang song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, Kuansan Wang

In addition to obtaining these entities from the publisher feeds as in the previous effort, we in this version include data mining results from the Web index and an in-house knowledge base from Bing, a major commercial search engine.

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