Alan Akbik

Affiliations:
  • 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 (PhD 2016)


According to our database1, Alan Akbik authored at least 48 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
TransformerRanker: A Tool for Efficiently Finding the Best-Suited Language Models for Downstream Classification Tasks.
CoRR, 2024

LM-PUB-QUIZ: A Comprehensive Framework for Zero-Shot Evaluation of Relational Knowledge in Language Models.
CoRR, 2024

Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions.
CoRR, 2024

HunFlair2 in a cross-corpus evaluation of biomedical named entity recognition and normalization tools.
CoRR, 2024

SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity.
CoRR, 2024

BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024

Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Parameter-Efficient Fine-Tuning: Is There An Optimal Subset of Parameters to Tune?
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

PECC: Problem Extraction and Coding Challenges.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Choose Your Transformer: Improved Transferability Estimation of Transformer Models on Classification Tasks.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ZELDA: A Comprehensive Benchmark for Supervised Entity Disambiguation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
Task-Specific Embeddings for Ante-Hoc Explainable Text Classification.
CoRR, 2022

Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

2021
HunFlair: an easy-to-use tool for state-of-the-art biomedical named entity recognition.
Bioinform., 2021

Early Detection of Sexual Predators in Chats.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
FLERT: Document-Level Features for Named Entity Recognition.
CoRR, 2020

Task-Aware Representation of Sentences for Generic Text Classification.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Pooled Contextualized Embeddings for Named Entity Recognition.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
Syntax-Aware Language Modeling with Recurrent Neural Networks.
CoRR, 2018

FEIDEGGER: A Multi-modal Corpus of Fashion Images and Descriptions in German.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

ZAP: An Open-Source Multilingual Annotation Projection Framework.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Contextual String Embeddings for Sequence Labeling.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017
CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

The Projector: An Interactive Annotation Projection Visualization Tool.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Exploratory relation extraction in large multilingual data.
PhD thesis, 2016

Improving Data Quality by Leveraging Statistical Relational Learning.
Proceedings of the 21st International Conference on Information Quality, 2016

Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

K-SRL: Instance-based Learning for Semantic Role Labeling.
Proceedings of the COLING 2016, 2016

Multilingual Aliasing for Auto-Generating Proposition Banks.
Proceedings of the COLING 2016, 2016

Multilingual Information Extraction with PolyglotIE.
Proceedings of the COLING 2016, 2016

POLYGLOT: Multilingual Semantic Role Labeling with Unified Labels.
Proceedings of ACL-2016 System Demonstrations, Berlin, Germany, August 7-12, 2016, 2016

2015
SCHNAPPER: A Web Toolkit for Exploratory Relation Extraction.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Freepal: A Large Collection of Deep Lexico-Syntactic Patterns for Relation Extraction.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

The Weltmodell: A Data-Driven Commonsense Knowledge Base.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Nerdle: Topic-Specific Question Answering Using Wikia Seeds.
Proceedings of the COLING 2014, 2014

Exploratory Relation Extraction in Large Text Corpora.
Proceedings of the COLING 2014, 2014

2013
Automatic Preservation Watch using Information Extraction on the Web.
Proceedings of the 10th International Conference on Digital Preservation, 2013

Effective Selectional Restrictions for Unsupervised Relation Extraction.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Propminer: A Workflow for Interactive Information Extraction and Exploration using Dependency Trees.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
KrakeN: N-ary Facts in Open Information Extraction.
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

Unsupervised Discovery of Relations and Discriminative Extraction Patterns.
Proceedings of the COLING 2012, 2012


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