Mike Zhang

PhD Fellow in NLP @NLPnorth, IT University of Copenhagen

& a Research Visitor @CIS, Ludwig Maximilian University of Munich

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Hello there! My name is Mike Zhang. I'm a second-year PhD Student at the IT University of Copenhagen (ITU) under supervision of Prof. Barbara Plank. I am part of the NLPnorth research unit and also indirectly affiliated with the CIS (Center for Information and Language Processing) at the Ludwig Maximilian University of Munich (LMU).

In Spring 2023, I will also be a Research Intern at WING (Web Information Retrieval & Natural Language Processing Group) at the National University of Singapore, advised by Prof. Min-Yen Kan. I will work on NLP and IR related to job descriptions and related text sources.

My main focus is working on automated high-quality Information Extraction from unstructured text with real-life use cases that have societal impact. In my case, I am working on Skill Extraction for Job Market Analysis. My other interests include tricks and approaches to get more labeled training data and/or exploit models for tasks with limited data — this includes Active Learning, Weak Supervision, and Transfer Learning.

News

• 29/04/2022: We got an outstanding paper award (see [7]) at the Machine Learning Evaluation Standards Workshop at ICLR 2022!
• 08/04/2022: Paper accepted (see [6]) at NAACL 2022.
• 04/04/2022: Paper accepted (see [5]) at LREC 2022.
• 22/10/2021: Gave a talk about our work Active Learning at the GroNLP group.
• 27/08/2021: Our work on Active Learning (see [4]) is accepted to EMNLP 2021.
• 02/06/2021: Accepted to LxMLS 2021.
• 02/06/2021: Presented (see [3]) at NoDaLiDa 2021 [video].
• 22/03/2021: First paper accepted at NoDaLiDa 2021 (see [3])!
• 15/09/2020: Started in Barbara Plank's NLP lab as a PhD Student, part of NLPnorth.
• 02/08/2019: Presented (see [2]) at WMT in Florence during ACL 2019.

Publications

2022

[7] Dennis Ulmer, Elisa Bassignana, Max Müller-Eberstein, Daniel Varab, Mike Zhang, Christian Hardmeier, and Barbara Plank. 2022. Experimental Standards for Deep Learning Research: A Natural Language Processing Perspective. To appear at the Machine Learning Evaluation Standards at ICLR 2022 (SMILES). Outstanding Paper Award. [Paper] [Repository]

[6] Mike Zhang, Kristian Nørgaard Jensen, Sif Dam Sonniks, and Barbara Plank. 2022. SkillSpan: Hard and Soft Skill Extraction from Job Postings. To appear at the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). [Paper] [Code]

[5] Mike Zhang, Kristian Nørgaard Jensen, and Barbara Plank. 2022. Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning. To appear at the 13th Edition of the Language Resources and Evaluation Conference (LREC). [Code]

2021

[4] Mike Zhang and Barbara Plank. 2021. Cartography Active Learning. In Findings of the Association for Computational Linguistics: EMNLP 2021. [Paper] [Slides] [Code] [Video]

[3] Kristian Nørgaard Jensen, Mike Zhang and Barbara Plank. 2021. De-identification of Privacy-related Entities in Job Postings. In Proceedings of the 23rd Nordic Conference of Computational Linguistics (NoDaLiDa). [Paper] [Slides] [Code] [Video]

2019

[2] Mike Zhang and Antonio Toral. 2019. The Effect of Translationese in Machine Translation Test Sets. In Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers). [Paper] [Slides] [Code]

[1] Mike Zhang, Roy David, Leon Graumans and Gerben Timmerman. 2019. Grunn2019 at SemEval-2019 Task 5: Shared Task on Multilingual Detection of Hate. In Proceedings of the 13th International Workshop on Semantic Evaluation. [Paper] [Code]

Teaching

IT University of Copenhagen

University of Groningen

Resume

Academic Background

Other (Professional) Experiences

Full resume can be found here.

Services

Reviewer

Contact

You can reach me at mikz(at)itu(dot)dk or message me on any other platform here.