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Nikolaus Nova Parulian

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Journal Articles

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2021
[j2]
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Kenning Arlitsch, Jonathan Wheeler, Minh Thi Ngoc Pham, Nikolaus Nova Parulian:
An analysis of use and performance data aggregated from 35 institutional repositories. Online Inf. Rev. 45(2): 316-335 (2021)
2020
[j1]
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Nikolaus Nova Parulian, Tiffany Lu, Shubhanshu Mishra, Mihai Avram, Jana Diesner:
Effectiveness of the Execution and Prevention of Metric-Based Adversarial Attacks on Social Network Data †. Inf. 11(6): 306 (2020)

Conference and Workshop Papers

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2023
[c18]
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Nikolaus Nova Parulian, Bertram Ludäscher:
Trust the Process: Analyzing Prospective Provenance for Data Cleaning. WWW (Companion Volume) 2023: 1513-1523
2022
[c17]
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Nikolaus Nova Parulian, Ryan Dubnicek, Glen Worthey, Daniel J. Evans, John A. Walsh, J. Stephen Downie:
Uncovering Black Fantastic: Piloting A Word Feature Analysis and Machine Learning Approach for Genre Classification. ASIST 2022: 242-250
[c16]
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Nikolaus Nova Parulian, Glen Worthey, J. Stephen Downie:
An Ensemble Framework for Dynamic Character Relationship Sentiment in Fiction. iConference (1) 2022: 414-424
[c15]
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Nikolaus Nova Parulian, Bertram Ludäscher:
DCM explorer: a tool to support transparent data cleaning through provenance exploration. TaPP 2022: 10:1-10:6
2021
[c14]
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  - conf/acl/ZhangPJEMP20
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Zixuan Zhang, Nikolaus Nova Parulian, Heng Ji, Ahmed Elsayed, Skatje Myers, Martha Palmer:
Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation. ACL/IJCNLP (1) 2021: 6261-6270
[c13]
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  - conf/bibm/SunLXPZJ21
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Chenkai Sun, Weijiang Li, Jinfeng Xiao, Nikolaus Nova Parulian, ChengXiang Zhai, Heng Ji:
Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation. BIBM 2021: 1984-1991
[c12]
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Nikolaus Nova Parulian, Glen Worthey:
Identifying Creative Content at the Page Level in the HathiTrust Digital Library Using Machine Learning Methods on Text and Image Features. iConference (1) 2021: 478-489
[c11]
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Nikolaus Nova Parulian, Timothy M. McPhillips, Bertram Ludäscher:
A Model and System for Querying Provenance from Data Cleaning Workflows. IPAW 2021: 183-197
[c10]
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Nikolaus Nova Parulian, Bertram Ludäscher:
Towards Transparent Data Cleaning: The Data Cleaning Model Explorer (DCM/X). JCDL 2021: 326-327
[c9]
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Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi R. Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych:
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. NAACL-HLT (Demonstrations) 2021: 66-77
[c8]
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Luyang Huang, Shuyang Cao, Nikolaus Nova Parulian, Heng Ji, Lu Wang:
Efficient Attentions for Long Document Summarization. NAACL-HLT 2021: 1419-1436
2020
[c7]
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Ly Dinh, Nikolaus Nova Parulian:
COVID -19 pandemic and information diffusion analysis on Twitter. ASIST 2020
[c6]
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Nikolaus Nova Parulian, Kristina Hall, Ryan Dubnicek, Yuerong Hu, J. Stephen Downie:
Evaluating a Machine Learning Approach to Identifying Expressive Content at Page Level in HathiTrust. DH 2020
2019
[c5]
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Yi-Yun Cheng, Nikolaus Nova Parulian, Tzu-Kun Hsiao, Ly Dinh, Maria Janina Sarol, Jodi Schneider:
ReTracker: Actively and automatically matching retraction metadata in zotero. ASIST 2019: 372-376
[c4]
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Ly Dinh, Maria Janina Sarol, Yi-Yun Cheng, Tzu-Kun Hsiao, Nikolaus Nova Parulian, Jodi Schneider:
Systematic examination of pre- and post-retraction citations. ASIST 2019: 390-394
[c3]
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  - conf/asunam/AvramMPD19
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Mihai Valentin Avram, Shubhanshu Mishra, Nikolaus Nova Parulian, Jana Diesner:
Adversarial perturbations to manipulate the perception of power and influence in networks. ASONAM 2019: 986-994
[c2]
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Ly Dinh, Yi-Yun Cheng, Nikolaus Nova Parulian:
ReTracker: an Open-Source Plugin for Automated and Standardized Tracking of Retracted Scholarly Publications. JCDL 2019: 406-407
[c1]
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Timothy M. McPhillips, Lan Li, Nikolaus Nova Parulian, Bertram Ludäscher:
Modeling Provenance and Understanding Reproducibility for OpenRefine Data Cleaning Workflows. TaPP 2019

Informal and Other Publications

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2021
[i4]
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  - journals/corr/abs-2104-02112
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Luyang Huang, Shuyang Cao, Nikolaus Nova Parulian, Heng Ji, Lu Wang:
Efficient Attentions for Long Document Summarization. CoRR abs/2104.02112 (2021)
[i3]
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  - journals/corr/abs-2108-12899
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Chenkai Sun, Weijiang Li, Jinfeng Xiao, Nikolaus Nova Parulian, ChengXiang Zhai, Heng Ji:
Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation. CoRR abs/2108.12899 (2021)
[i2]
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  - journals/corr/abs-2112-08259
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Nikolaus Nova Parulian, Lan Li, Bertram Ludäscher:
or2yw: Modeling and Visualizing OpenRefineHistories as YesWorkflow Diagrams. CoRR abs/2112.08259 (2021)
2020
[i1]
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  - journals/corr/abs-2007-00576
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Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych:
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. CoRR abs/2007.00576 (2020)

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