Unsupervised Discovery of Relations and Discriminative Extraction Patterns. - Alan Akbik; Larysa Visengeriyeva; Priska Herger; Holmer Hemsen; Alexander Löser (COLING, 2012)

KrakeN: N-ary Facts in Open Information Extraction. - Alan Akbik; Alexander Löser (AKBC-WEKEX@NAACL-HLT, 2012)

Propminer: A Workflow for Interactive Information Extraction and Exploration using Dependency Trees. - Alan Akbik; Oresti Konomi; Michail Melnikov (ACL (Conference System Demonstrations), 2013)

Effective Selectional Restrictions for Unsupervised Relation Extraction. - Alan Akbik; Larysa Visengeriyeva; Johannes Kirschnick; Alexander Löser (IJCNLP, 2013)

Automatic Preservation Watch using Information Extraction on the Web. - Luis Faria; Alan Akbik; Barbara Sierman; Marcel Ras; Miguel Ferreira; José Carlos Ramalho (iPRES, 2013)

Exploratory Relation Extraction in Large Text Corpora. - Alan Akbik; Thilo Michael; Christoph Boden (COLING, 2014)

Nerdle: Topic-Specific Question Answering Using Wikia Seeds. - Umar Maqsud; Sebastian Arnold 001; Michael Hülfenhaus; Alan Akbik (COLING (Demos), 2014)

The Weltmodell: A Data-Driven Commonsense Knowledge Base. - Alan Akbik; Thilo Michael (LREC, 2014)

Freepal: A Large Collection of Deep Lexico-Syntactic Patterns for Relation Extraction. - Johannes Kirschnick; Alan Akbik; Holmer Hemsen (LREC, 2014)

Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling. - Alan Akbik; Laura Chiticariu; Marina Danilevsky; Yunyao Li 001; Shivakumar Vaithyanathan; Huaiyu Zhu 001 (ACL (1), 2015)

SCHNAPPER: A Web Toolkit for Exploratory Relation Extraction. - Thilo Michael; Alan Akbik (ACL (System Demonstrations), 2015)

POLYGLOT: Multilingual Semantic Role Labeling with Unified Labels. - Alan Akbik; Yunyao Li 001 (ACL (System Demonstrations), 2016)

Multilingual Information Extraction with PolyglotIE. - Alan Akbik; Laura Chiticariu; Marina Danilevsky; Yonas Kbrom; Yunyao Li 001; Huaiyu Zhu 001 (COLING (Demos), 2016)

Multilingual Aliasing for Auto-Generating Proposition Banks. - Alan Akbik; Xinyu Guan; Yunyao Li 001 (COLING, 2016)

K-SRL: Instance-based Learning for Semantic Role Labeling. - Alan Akbik; Yunyao Li 001 (COLING, 2016)

Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages. - Alan Akbik; Vishwajeet Kumar; Yunyao Li 001 (EMNLP, 2016)

Improving Data Quality by Leveraging Statistical Relational Learning. - Larysa Visengeriyeva; Alan Akbik; Manohar Kaul (ICIQ, 2016)

Exploratory relation extraction in large multilingual data. - Alan Akbik (2016)

The Projector: An Interactive Annotation Projection Visualization Tool. - Alan Akbik; Roland Vollgraf (EMNLP (System Demonstrations), 2017)

CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles. - Chenguang Wang 001; Alan Akbik; Laura Chiticariu; Yunyao Li 001; Fei Xia; Anbang Xu (EMNLP, 2017)

Contextual String Embeddings for Sequence Labeling. - Alan Akbik; Duncan Blythe; Roland Vollgraf (COLING, 2018)

ZAP: An Open-Source Multilingual Annotation Projection Framework. - Alan Akbik; Roland Vollgraf (LREC, 2018)

FEIDEGGER: A Multi-modal Corpus of Fashion Images and Descriptions in German. - Leonidas Lefakis; Alan Akbik; Roland Vollgraf (LREC, 2018)

Syntax-Aware Language Modeling with Recurrent Neural Networks. - Duncan Blythe; Alan Akbik; Roland Vollgraf (CoRR, 2018)

FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP. - Alan Akbik; Tanja Bergmann; Duncan Blythe; Kashif Rasul; Stefan Schweter; Roland Vollgraf (NAACL-HLT (Demonstrations), 2019)

Pooled Contextualized Embeddings for Named Entity Recognition. - Alan Akbik; Tanja Bergmann; Roland Vollgraf (NAACL-HLT (1), 2019)

Task-Aware Representation of Sentences for Generic Text Classification. - Kishaloy Halder; Alan Akbik; Josip Krapac; Roland Vollgraf (COLING, 2020)

FLERT: Document-Level Features for Named Entity Recognition. - Stefan Schweter; Alan Akbik (CoRR, 2020)

Early Detection of Sexual Predators in Chats. - Matthias Vogt; Ulf Leser; Alan Akbik (ACL/IJCNLP (1), 2021)

HunFlair: an easy-to-use tool for state-of-the-art biomedical named entity recognition. - Leon Weber; Mario Sänger; Jannes Münchmeyer; Maryam Habibi; Ulf Leser; Alan Akbik (Bioinform., 2021)

Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning. - Angelo Ziletti; Alan Akbik; Christoph Berns; Thomas Herold; Marion Legler; Martina Viell (NAACL-HLT (Industry Papers), 2022)

Task-Specific Embeddings for Ante-Hoc Explainable Text Classification. - Kishaloy Halder; Josip Krapac; Alan Akbik; Anthony Brew; Matti Lyra (CoRR, 2022)

ZELDA: A Comprehensive Benchmark for Supervised Entity Disambiguation. - Marcel Milich; Alan Akbik (EACL, 2023)

Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs. - Jonas Golde; Patrick Haller 002; Felix Hamborg; Julian Risch; Alan Akbik (EMNLP (Demos), 2023)

CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset. - Susanna Rücker; Alan Akbik (EMNLP, 2023)

Choose Your Transformer: Improved Transferability Estimation of Transformer Models on Classification Tasks. - Lukas Garbaciauskas; Max Ploner; Alan Akbik (ACL (Findings), 2024)

PECC: Problem Extraction and Coding Challenges. - Patrick Haller 002; Jonas Golde; Alan Akbik (LREC/COLING, 2024)

Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition. - Jonas Golde; Felix Hamborg; Alan Akbik (EACL (1), 2024)

Parameter-Efficient Fine-Tuning: Is There An Optimal Subset of Parameters to Tune? - Max Ploner; Alan Akbik (EACL (Findings), 2024)

NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition. - Elena Merdjanovska; Ansar Aynetdinov; Alan Akbik (EMNLP, 2024)

Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning. - David Schulte; Felix Hamborg; Alan Akbik (EMNLP, 2024)

OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs. - Patrick Haller 002; Ansar Aynetdinov; Alan Akbik (NAACL (Demonstrations), 2024)

BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models. - Jacek Wiland; Max Ploner; Alan Akbik (NAACL-HLT (Findings), 2024)

SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity. - Ansar Aynetdinov; Alan Akbik (CoRR, 2024)

HunFlair2 in a cross-corpus evaluation of biomedical named entity recognition and normalization tools. - Mario Sänger; Samuele Garda; Xing David Wang; Leon Weber-Genzel; Pia Droop; Benedikt Fuchs; Alan Akbik; Ulf Leser (CoRR, 2024)

Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions. - Max Dallabetta; Conrad Dobberstein; Adrian Breiding; Alan Akbik (CoRR, 2024)

LM-PUB-QUIZ: A Comprehensive Framework for Zero-Shot Evaluation of Relational Knowledge in Language Models. - Max Ploner; Jacek Wiland; Sebastian Pohl; Alan Akbik (CoRR, 2024)

TransformerRanker: A Tool for Efficiently Finding the Best-Suited Language Models for Downstream Classification Tasks. - Lukas Garbas; Max Ploner; Alan Akbik (CoRR, 2024)

Don't Mesh with Me: Generating Constructive Solid Geometry Instead of Meshes by Fine-Tuning a Code-Generation LLM. - Maximilian Mews; Ansar Aynetdinov; Vivian Schiller; Peter Eisert; Alan Akbik (CoRR, 2024)

Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data. - Jonas Golde; Patrick Haller 002; Max Ploner; Fabio Barth; Nicolaas Paul Jedema; Alan Akbik (CoRR, 2024)

BabyHGRN: Exploring RNNs for Sample-Efficient Training of Language Models. - Patrick Haller 002; Jonas Golde; Alan Akbik (CoRR, 2024)

Pre-Training Curriculum for Multi-Token Prediction in Language Models. - Ansar Aynetdinov; Alan Akbik (ACL (1), 2025)

Evaluating Design Decisions for Dual Encoder-based Entity Disambiguation. - Susanna Rücker; Alan Akbik (ACL (1), 2025)

Familarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data. - Jonas Golde; Patrick Haller 002; Max Ploner; Fabio Barth; Nicolaas Paul Jedema; Alan Akbik (NAACL (Long Papers), 2025)

MastermindEval: A Simple But Scalable Reasoning Benchmark. - Jonas Golde; Patrick Haller 002; Fabio Barth; Alan Akbik (CoRR, 2025)

Empirical Evaluation of Knowledge Distillation from Transformers to Subquadratic Language Models. - Patrick Haller 002; Jonas Golde; Alan Akbik (CoRR, 2025)

From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts. - Daniel Christoph; Max Ploner; Patrick Haller 002; Alan Akbik (CoRR, 2025)

Question Decomposition for Retrieval-Augmented Generation. - Paul J. L. Ammann; Jonas Golde; Alan Akbik (CoRR, 2025)

Towards a Principled Evaluation of Knowledge Editors. - Sebastian Pohl; Max Ploner; Alan Akbik (CoRR, 2025)