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Annemarie Friedrich

47 papers · 2012–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🏃 Academic Marathon (13) 🌍 Conference Polyglot (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (6)
🌈 Renaissance Researcher (9) 🌍 Conference Polyglot (10) 🏃 Academic Marathon (13) 🤝 Dynamic Duo (14) 🔬 Deep Specialist (11) 💎 Century Club (45) The Questioner (2) 📈 Trend Setter Prolific Year (6) 🗃️ Keyword Collector (177) 🔥 Unstoppable (7)

Conferences

ACL (18) EMNLP (9) IJCNLP (5) COLING (3) EACL (3) NAACL (3) AACL (2) AAAI (1) CONLL (1) SEMEVAL (1) WACV (1)

Papers

A Solver-in-the-Loop Framework for Improving LLMs on Answer Set Programming for Logic Puzzle Solving AAAI 2026 Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation ACL 2026 Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models ACL 2025 RITT: A Retrieval-Assisted Framework with Image and Text Table Representations for Table Question Answering ACL 2025 Texts or Images? A Fine-grained Analysis on the Effectiveness of Input Representations and Models for Table Question Answering ACL 2025 LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews ACL 2025 PAP2PAT: Benchmarking Outline-Guided Long-Text Patent Generation with Patent-Paper Pairs ACL 2025 G-MACT at SemEval-2025 Task 8: Exploring Planning and Tool Use in Question Answering over Tabular Data ACL 2025 G-MACT at SemEval-2025 Task 8: Exploring Planning and Tool Use in Question Answering over Tabular Data SEMEVAL 2025 Efficient Multi-Agent Collaboration with Tool Use for Online Planning in Complex Table Question Answering NAACL 2025 p²-TQA: A Process-based Preference Learning Framework for Self-Improving Table Question Answering Models IJCNLP 2025 p²-TQA: A Process-based Preference Learning Framework for Self-Improving Table Question Answering Models AACL 2025 Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges ACL 2025 SciOL and MuLMS-Img: Introducing a Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain WACV 2024 QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios EMNLP 2024 AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports COLING 2024 FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering NAACL 2024 A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing EACL 2023 Is the Answer in the Text? Challenging ChatGPT with Evidence Retrieval from Instructive Text EMNLP 2023 MuLMS-AZ: An Argumentative Zoning Dataset for the Materials Science Domain ACL 2023 MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain IJCNLP 2023 MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain AACL 2023 A Kind Introduction to Lexical and Grammatical Aspect, with a Survey of Computational Approaches EACL 2023 Three Real-World Datasets and Neural Computational Models for Classification Tasks in Patent Landscaping EMNLP 2022 MiST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text EMNLP 2022 Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling EACL 2021 Applying Occam’s Razor to Transformer-Based Dependency Parsing: What Works, What Doesn’t, and What is Really Necessary ACL 2021 RobertNLP at the IWPT 2021 Shared Task: Simple Enhanced UD Parsing for 17 Languages ACL 2021 Negation-Instance Based Evaluation of End-to-End Negation Resolution CONLL 2021 Negation-Instance Based Evaluation of End-to-End Negation Resolution EMNLP 2021 A Corpus Study of Creating Rule-Based Enhanced Universal Dependencies for German EMNLP 2021 Applying Occam’s Razor to Transformer-Based Dependency Parsing: What Works, What Doesn’t, and What is Really Necessary IJCNLP 2021 RobertNLP at the IWPT 2021 Shared Task: Simple Enhanced UD Parsing for 17 Languages IJCNLP 2021 A Crash Course on Ethics for Natural Language Processing NAACL 2021 The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain ACL 2020 ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation EMNLP 2020 Unifying the Treatment of Preposition-Determiner Contractions in German Universal Dependencies Treebanks COLING 2020 RobertNLP at the IWPT 2020 Shared Task: Surprisingly Simple Enhanced UD Parsing for English ACL 2020 Proceedings of the 13th Linguistic Annotation Workshop ACL 2019 Classification of telicity using cross-linguistic annotation projection EMNLP 2017 Annotating tense, mood and voice for English, French and German ACL 2017 Situation entity types: automatic classification of clause-level aspect ACL 2016 Automatic recognition of habituals: a three-way classification of clausal aspect EMNLP 2015 Discourse-sensitive Automatic Identification of Generic Expressions IJCNLP 2015 Discourse-sensitive Automatic Identification of Generic Expressions ACL 2015 Automatic prediction of aspectual class of verbs in context ACL 2014 A Comparison of Knowledge-based Algorithms for Graded Word Sense Assignment COLING 2012