Alan Akbik

20 publications

5 venues

H Index 11

Affiliation

Humboldt University of Berlin, Department of Computer Science, Germany
Zalando Research, Berlin, Germany
IBM Research, Almaden Research Center, San Jose, CA, USA
Technical University of Berlin, Germany

Links

Name Venue Year citations
Question Decomposition for Retrieval-Augmented Generation. ACL 2025 8
Improving Online Job Advertisement Analysis via Compositional Entity Extraction. EMNLP 2025 0
Pre-Training Curriculum for Multi-Token Prediction in Language Models. ACL 2025 1
Evaluating Design Decisions for Dual Encoder-based Entity Disambiguation. ACL 2025 1
Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions. ACL 2024 6
Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition. EACL 2024 4
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition. EMNLP 2024 4
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning. EMNLP 2024 0
ZELDA: A Comprehensive Benchmark for Supervised Entity Disambiguation. EACL 2023 2
CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset. EMNLP 2023 11
Task-Aware Representation of Sentences for Generic Text Classification. COLING 2020 93
Contextual String Embeddings for Sequence Labeling. COLING 2018 1361
CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles. EMNLP 2017 19
Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages. EMNLP 2016 15
Multilingual Aliasing for Auto-Generating Proposition Banks. COLING 2016 14
K-SRL: Instance-based Learning for Semantic Role Labeling. COLING 2016 16
Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling. ACL 2015 100
Exploratory Relation Extraction in Large Text Corpora. COLING 2014 13
Effective Selectional Restrictions for Unsupervised Relation Extraction. IJCNLP 2013 13
Unsupervised Discovery of Relations and Discriminative Extraction Patterns. COLING 2012 30
Copyright ©2019 Universität Würzburg

Impressum | Privacy | FAQ