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Mike Zhang
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2020 – today
- 2024
- [c13]Maria Barrett, Max Müller-Eberstein, Elisa Bassignana, Amalie Brogaard Pauli, Mike Zhang, Rob van der Goot:
Can Humans Identify Domains? LREC/COLING 2024: 2745-2765 - [c12]Mike Zhang, Rob van der Goot, Barbara Plank:
Entity Linking in the Job Market Domain. EACL (Findings) 2024: 410-419 - [c11]Mike Zhang, Rob van der Goot, Min-Yen Kan, Barbara Plank:
NNOSE: Nearest Neighbor Occupational Skill Extraction. EACL (1) 2024: 589-608 - [e1]Neele Falk, Sara Papi, Mike Zhang:
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2024: Student Research Workshop, St. Julian's, Malta, March 21-22, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-090-5 [contents] - [i18]Mike Zhang, Rob van der Goot, Min-Yen Kan, Barbara Plank:
NNOSE: Nearest Neighbor Occupational Skill Extraction. CoRR abs/2401.17092 (2024) - [i17]Mike Zhang, Rob van der Goot, Barbara Plank:
Entity Linking in the Job Market Domain. CoRR abs/2401.17979 (2024) - [i16]Antoine Magron, Anna Dai, Mike Zhang, Syrielle Montariol, Antoine Bosselut:
JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching. CoRR abs/2402.03242 (2024) - [i15]Khanh Cao Nguyen, Mike Zhang, Syrielle Montariol, Antoine Bosselut:
Rethinking Skill Extraction in the Job Market Domain using Large Language Models. CoRR abs/2402.03832 (2024) - [i14]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 abs/2402.05617 (2024) - [i13]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 abs/2402.06619 (2024) - [i12]Maria Barrett, Max Müller-Eberstein, Elisa Bassignana, Amalie Brogaard Pauli, Mike Zhang, Rob van der Goot:
Can Humans Identify Domains? CoRR abs/2404.01785 (2024) - [i11]Mike Zhang:
Computational Job Market Analysis with Natural Language Processing. CoRR abs/2404.18977 (2024) - [i10]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 abs/2407.01274 (2024) - 2023
- [c10]Mike Zhang, Rob van der Goot, Barbara Plank:
ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain. ACL (1) 2023: 11871-11890 - [i9]Mike Zhang, Rob van der Goot, Barbara Plank:
ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain. CoRR abs/2305.12092 (2023) - 2022
- [c9]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: 2673-2692 - [c8]Elisa Bassignana
, Max Müller-Eberstein, Mike Zhang, Barbara Plank:
Evidence \textgreater Intuition: Transferability Estimation for Encoder Selection. EMNLP 2022: 4218-4227 - [c7]Mike Zhang, Kristian Nørgaard Jensen, Rob van der Goot, Barbara Plank:
Skill Extraction from Job Postings using Weak Supervision. HR@RecSys 2022 - [c6]Mike Zhang, Kristian Nørgaard Jensen, Barbara Plank:
Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning. LREC 2022: 436-447 - [c5]Mike Zhang, Kristian Nørgaard Jensen, Sif Dam Sonniks, Barbara Plank:
SkillSpan: Hard and Soft Skill Extraction from English Job Postings. NAACL-HLT 2022: 4962-4984 - [i8]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 abs/2204.06251 (2022) - [i7]Mike Zhang, Kristian Nørgaard Jensen, Sif Dam Sonniks, Barbara Plank:
SkillSpan: Hard and Soft Skill Extraction from English Job Postings. CoRR abs/2204.12811 (2022) - [i6]Mike Zhang, Kristian Nørgaard Jensen, Barbara Plank
:
Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning. CoRR abs/2205.01381 (2022) - [i5]Mike Zhang, Kristian Nørgaard Jensen, Rob van der Goot, Barbara Plank
:
Skill Extraction from Job Postings using Weak Supervision. CoRR abs/2209.08071 (2022) - [i4]Elisa Bassignana, Max Müller-Eberstein, Mike Zhang, Barbara Plank
:
Evidence > Intuition: Transferability Estimation for Encoder Selection. CoRR abs/2210.11255 (2022) - 2021
- [c4]Mike Zhang, Barbara Plank:
Cartography Active Learning. EMNLP (Findings) 2021: 395-406 - [c3]Kristian Nørgaard Jensen, Mike Zhang, Barbara Plank:
De-identification of Privacy-related Entities in Job Postings. NoDaLiDa 2021: 210-221 - [i3]Kristian Nørgaard Jensen, Mike Zhang, Barbara Plank:
De-identification of Privacy-related Entities in Job Postings. CoRR abs/2105.11223 (2021) - [i2]Mike Zhang, Barbara Plank:
Cartography Active Learning. CoRR abs/2109.04282 (2021)
2010 – 2019
- 2019
- [c2]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: 391-395 - [c1]Mike Zhang, Antonio Toral:
The Effect of Translationese in Machine Translation Test Sets. WMT (1) 2019: 73-81 - [i1]Mike Zhang, Antonio Toral:
The Effect of Translationese in Machine Translation Test Sets. CoRR abs/1906.08069 (2019)
Coauthor Index
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last updated on 2024-08-11 01:07 CEST by the dblp team
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