Mike Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 32

Top Topics

Natural Language Processing

Top Venues

EMNLP (Findings)

Publications

Mike Zhang, Rob van der Goot, Barbara Plank
Entity Linking in the Job Market Domain. CoRR (2024)
Shivalika Singh, Freddie Vargus, Daniel D'souza, Börje Karlsson, Abinaya Mahendiran, Wei-Yin Ko, Herumb Shandilya, Jay Patel, Deividas Mataciunas, Laura O'Mahony, Mike Zhang, Ramith Hettiarachchi, Joseph Wilson, Marina Machado, Luisa Souza Moura, Dominik Krzeminski, Hakimeh Fadaei, Irem Ergün, Ifeoma Okoh, Aisha Alaagib, Oshan Mudannayake, Zaid Alyafeai, Minh Vu Chien, Sebastian Ruder, Surya Guthikonda, Emad A. Alghamdi, Sebastian Gehrmann, Niklas Muennighoff, Max Bartolo, Julia Kreutzer, Ahmet Üstün, Marzieh Fadaee, Sara Hooker
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning. ACL (1) (2024)
Antoine Magron, Anna Dai, Mike Zhang, Syrielle Montariol, Antoine Bosselut
JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching. CoRR (2024)
Mike Zhang, Rob van der Goot, Barbara Plank
Entity Linking in the Job Market Domain. EACL (Findings) (2024)
Khanh Cao Nguyen, Mike Zhang, Syrielle Montariol, Antoine Bosselut
Rethinking Skill Extraction in the Job Market Domain using Large Language Models. CoRR (2024)
Mike Zhang, Euan D. Lindsay, Frederik Bode Thorbensen, Danny Bøgsted Poulsen, Johannes Bjerva
Leveraging Large Language Models for Actionable Course Evaluation Student Feedback to Lecturers. CoRR (2024)
Mike Zhang, Rob van der Goot, Min-Yen Kan, Barbara Plank
NNOSE: Nearest Neighbor Occupational Skill Extraction. CoRR (2024)
Maria Barrett, Max Müller-Eberstein, Elisa Bassignana, Amalie Brogaard Pauli, Mike Zhang, Rob van der Goot
Can Humans Identify Domains? CoRR (2024)
Mike Zhang, Rob van der Goot, Min-Yen Kan, Barbara Plank
NNOSE: Nearest Neighbor Occupational Skill Extraction. EACL (1) (2024)
Shivalika Singh, Freddie Vargus, Daniel D'souza, Börje F. Karlsson, Abinaya Mahendiran, Wei-Yin Ko, Herumb Shandilya, Jay Patel, Deividas Mataciunas, Laura O'Mahony, Mike Zhang, Ramith Hettiarachchi, Joseph Wilson, Marina Machado, Luisa Souza Moura, Dominik Krzeminski, Hakimeh Fadaei, Irem Ergün, Ifeoma Okoh, Aisha Alaagib, Oshan Mudannayake, Zaid Alyafeai, Minh Chien Vu, Sebastian Ruder, Surya Guthikonda, Emad A. Alghamdi, Sebastian Gehrmann, Niklas Muennighoff, Max Bartolo, Julia Kreutzer, Ahmet Üstün, Marzieh Fadaee, Sara Hooker
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning. CoRR (2024)
Mike Zhang
Computational Job Market Analysis with Natural Language Processing. CoRR (2024)
Maria Barrett, Max Müller-Eberstein, Elisa Bassignana, Amalie Brogaard Pauli, Mike Zhang, Rob van der Goot
Can Humans Identify Domains? LREC/COLING (2024)
Elena Senger, Mike Zhang, Rob van der Goot, Barbara Plank
Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings. CoRR (2024)
Mike Zhang, Rob van der Goot, Barbara Plank
ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain. ACL (1) (2023)
Mike Zhang, Rob van der Goot, Barbara Plank
ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain. CoRR (2023)
Mike Zhang, Kristian Nørgaard Jensen, Sif Dam Sonniks, Barbara Plank
SkillSpan: Hard and Soft Skill Extraction from English Job Postings. NAACL-HLT (2022)
Mike Zhang, Kristian Nørgaard Jensen, Rob van der Goot, Barbara Plank
Skill Extraction from Job Postings using Weak Supervision. HR@RecSys (2022)
Mike Zhang, Kristian Nørgaard Jensen, Rob van der Goot, Barbara Plank
Skill Extraction from Job Postings using Weak Supervision. CoRR (2022)
Mike Zhang, Kristian Nørgaard Jensen, Barbara Plank
Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning. CoRR (2022)
Elisa Bassignana, Max Müller-Eberstein, Mike Zhang, Barbara Plank
Evidence > Intuition: Transferability Estimation for Encoder Selection. CoRR (2022)
Elisa Bassignana, Max Müller-Eberstein, Mike Zhang, Barbara Plank
Evidence \textgreater Intuition: Transferability Estimation for Encoder Selection. EMNLP (2022)
Dennis Ulmer, Elisa Bassignana, Max Müller-Eberstein, Daniel Varab, Mike Zhang, Rob van der Goot, Christian Hardmeier, Barbara Plank
Experimental Standards for Deep Learning in Natural Language Processing Research. EMNLP (Findings) (2022)
Mike Zhang, Kristian Nørgaard Jensen, Barbara Plank
Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning. LREC (2022)
Mike Zhang, Kristian Nørgaard Jensen, Sif Dam Sonniks, Barbara Plank
SkillSpan: Hard and Soft Skill Extraction from English Job Postings. CoRR (2022)
Dennis Ulmer, Elisa Bassignana, Max Müller-Eberstein, Daniel Varab, Mike Zhang, Christian Hardmeier, Barbara Plank
Experimental Standards for Deep Learning Research: A Natural Language Processing Perspective. CoRR (2022)
Kristian Nørgaard Jensen, Mike Zhang, Barbara Plank
De-identification of Privacy-related Entities in Job Postings. CoRR (2021)
Mike Zhang, Barbara Plank
Cartography Active Learning. EMNLP (Findings) (2021)
Kristian Nørgaard Jensen, Mike Zhang, Barbara Plank
De-identification of Privacy-related Entities in Job Postings. NoDaLiDa (2021)
Mike Zhang, Barbara Plank
Cartography Active Learning. CoRR (2021)
Mike Zhang, Antonio Toral
The Effect of Translationese in Machine Translation Test Sets. CoRR (2019)
Mike Zhang, Antonio Toral
The Effect of Translationese in Machine Translation Test Sets. WMT (1) (2019)
Mike Zhang, Roy David, Leon Graumans, Gerben Timmerman
Grunn2019 at SemEval-2019 Task 5: Shared Task on Multilingual Detection of Hate. SemEval@NAACL-HLT (2019)