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Annemarie Friedrich
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2020 – today
- 2024
- [c35]Lukas Lange, Marc Müller, Ghazaleh Haratinezhad Torbati, Dragan Milchevski, Patrick Grau, Subhash Chandra Pujari, Annemarie Friedrich
:
AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports. LREC/COLING 2024: 1147-1160 - [c34]Timo Pierre Schrader, Lukas Lange, Simon Razniewski, Annemarie Friedrich:
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios. EMNLP 2024: 2634-2652 - [c33]Steffen Kleinle, Jakob Prange, Annemarie Friedrich:
OMoS-QA: A Dataset for Cross-Lingual Extractive Question Answering in a German Migration Context. BBBBBBBBBB 2024: 231-248 - [c32]Wei Zhou, Mohsen Mesgar, Heike Adel, Annemarie Friedrich:
FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering. NAACL-HLT 2024: 2479-2497 - [c31]Tim Tarsi, Heike Adel, Jan Hendrik Metzen, Dan Zhang, Matteo Finco, Annemarie Friedrich:
SciOL and MuLMS-Img: Introducing A Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain. WACV 2024: 4548-4559 - [i17]Lukas Lange, Marc Müller, Ghazaleh Haratinezhad Torbati, Dragan Milchevski, Patrick Grau, Subhash Chandra Pujari, Annemarie Friedrich:
AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports. CoRR abs/2404.07765 (2024) - [i16]Wei Zhou, Mohsen Mesgar, Heike Adel, Annemarie Friedrich:
FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering. CoRR abs/2404.18585 (2024) - [i15]Steffen Kleinle, Jakob Prange, Annemarie Friedrich:
OMoS-QA: A Dataset for Cross-Lingual Extractive Question Answering in a German Migration Context. CoRR abs/2407.15736 (2024) - [i14]Valentin Knappich, Simon Razniewski, Anna Hätty, Annemarie Friedrich:
Pap2Pat: Towards Automated Paper-to-Patent Drafting using Chunk-based Outline-guided Generation. CoRR abs/2410.07009 (2024) - 2023
- [c30]Sophie Henning
A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing. EACL 2023: 523-540 - [c29]Annemarie Friedrich
A Kind Introduction to Lexical and Grammatical Aspect, with a Survey of Computational Approaches. EACL 2023: 599-622 - [c28]Sophie Henning, Talita Anthonio, Wei Zhou
Is the Answer in the Text? Challenging ChatGPT with Evidence Retrieval from Instructive Text. EMNLP (Findings) 2023: 14229-14241 - [e3]Munir Georges, Aaricia Herygers, Annemarie Friedrich, Benjamin Roth:
Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), September 19-21, 2023, Ingolstadt, Germany. Association for Computational Lingustics 2023 [contents] - [i13]Timo Pierre Schrader, Teresa Bürkle, Sophie Henning, Sherry Tan, Matteo Finco
MuLMS-AZ: An Argumentative Zoning Dataset for the Materials Science Domain. CoRR abs/2307.02340 (2023) - [i12]Timo Pierre Schrader, Matteo Finco, Stefan Grünewald, Felix Hildebrand, Annemarie Friedrich:
MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain. CoRR abs/2310.15569 (2023) - [i11]Valentin Knappich, Simon Razniewski, Annemarie Friedrich:
BoschAI @ PLABA 2023: Leveraging Edit Operations in End-to-End Neural Sentence Simplification. CoRR abs/2311.01907 (2023) - [i10]Timo Pierre Schrader, Simon Razniewski, Lukas Lange, Annemarie Friedrich:
BoschAI @ Causal News Corpus 2023: Robust Cause-Effect Span Extraction using Multi-Layer Sequence Tagging and Data Augmentation. CoRR abs/2312.06338 (2023) - 2022
- [j1]Qingyu Chen, Alexis Allot
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations. Database J. Biol. Databases Curation 2022(2022) (2022) - [c27]Subhash Chandra Pujari, Fryderyk Mantiuk, Mark Giereth, Jannik Strötgen, Annemarie Friedrich
Evaluating Neural Multi-Field Document Representations for Patent Classification. BIR@ECIR 2022: 13-27 - [c26]Sophie Henning
MiST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text. EMNLP (Findings) 2022: 1305-1324 - [c25]Subhash Chandra Pujari, Jannik Strötgen, Mark Giereth, Michael Gertz, Annemarie Friedrich
Three Real-World Datasets and Neural Computational Models for Classification Tasks in Patent Landscaping. EMNLP 2022: 11498-11513 - [i9]Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj Dogan
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations. CoRR abs/2204.09781 (2022) - [i8]Annemarie Friedrich, Nianwen Xue, Alexis Palmer:
A Kind Introduction to Lexical and Grammatical Aspect, with a Survey of Computational Approaches. CoRR abs/2208.09012 (2022) - [i7]Sophie Henning, William H. Beluch, Alexander Fraser, Annemarie Friedrich:
A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing. CoRR abs/2210.04675 (2022) - [i6]Sophie Henning, Nicole Macher, Stefan Grünewald, Annemarie Friedrich:
MIST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text. CoRR abs/2212.07156 (2022) - 2021
- [c24]Elizaveta Sineva
Negation-Instance Based Evaluation of End-to-End Negation Resolution. CoNLL 2021: 528-543 - [c23]Stefan Grünewald, Prisca Piccirilli, Annemarie Friedrich
Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling. EACL 2021: 795-809 - [c22]Subhash Chandra Pujari, Annemarie Friedrich, Jannik Strötgen:
A Multi-task Approach to Neural Multi-label Hierarchical Patent Classification Using Transformers. ECIR (1) 2021: 513-528 - [i5]Stefan Grünewald, Prisca Piccirilli, Annemarie Friedrich:
Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling. CoRR abs/2103.08955 (2021) - [i4]Elizaveta Sineva, Stefan Grünewald, Annemarie Friedrich, Jonas Kuhn:
Negation-Instance Based Evaluation of End-to-End Negation Resolution. CoRR abs/2109.10013 (2021) - 2020
- [c21]Annemarie Friedrich
The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain. ACL 2020: 1255-1268 - [c20]Hanna Wecker, Annemarie Friedrich
ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation. Eval4NLP 2020: 155-163 - [c19]Stefan Grünewald, Annemarie Friedrich
RobertNLP at the IWPT 2020 Shared Task: Surprisingly Simple Enhanced UD Parsing for English. IWPT 2020 2020: 245-252 - [i3]Annemarie Friedrich, Heike Adel, Federico Tomazic, Johannes Hingerl, Renou Benteau, Anika Marusczyk, Lukas Lange:
The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain. CoRR abs/2006.03039 (2020) - [i2]Stefan Grünewald, Annemarie Friedrich, Jonas Kuhn:
Graph-Based Universal Dependency Parsing in the Age of the Transformer: What Works, and What Doesn't. CoRR abs/2010.12699 (2020)
2010 – 2019
- 2019
- [c18]Jannik Strötgen, Trung-Kien Tran, Annemarie Friedrich, Dragan Milchevski, Federico Tomazic, Anika Marusczyk, Heike Adel, Daria Stepanova, Felix Hildebrand, Evgeny Kharlamov:
Towards the Bosch Materials Science Knowledge Base. ISWC (Satellites) 2019: 323-324 - [e2]Annemarie Friedrich, Deniz Zeyrek, Jet Hoek:
Proceedings of the 13th Linguistic Annotation Workshop, LAW@ACL 2019, Florence, Italy, August 1, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-38-3 [contents] - 2017
- [c17]Anita Ramm, Sharid Loáiciga, Annemarie Friedrich, Alexander M. Fraser:
Annotating tense, mood and voice for English, French and German. ACL (System Demonstrations) 2017: 1-6 - [c16]Annemarie Friedrich
Classification of telicity using cross-linguistic annotation projection. EMNLP 2017: 2559-2565 - 2016
- [c15]Annemarie Friedrich
Situation entity types: automatic classification of clause-level aspect. ACL (1) 2016 - [c14]Timo Gühring, Nicklas Linz, Rafael Theis, Annemarie Friedrich:
SWAN: an easy-to-use web-based annotation system. KONVENS 2016 - [e1]Katrin Tomanek, Annemarie Friedrich:
Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016, LAW@ACL 2016, August 11, 2016, Berlin, Germany. The Association for Computer Linguistics 2016 [contents] - 2015
- [c13]Annemarie Friedrich
Discourse-sensitive Automatic Identification of Generic Expressions. ACL (1) 2015: 1272-1281 - [c12]Annemarie Friedrich
Annotating genericity: a survey, a scheme, and a corpus. LAW@NAACL-HLT 2015: 21-30 - [c11]Kleio-Isidora Mavridou, Annemarie Friedrich
Linking discourse modes and situation entity types in a cross-linguistic corpus study. LSDSem@EMNLP 2015: 12-21 - [c10]Mengfei Zhou, Anette Frank, Annemarie Friedrich
Semantically Enriched Models for Modal Sense Classification. LSDSem@EMNLP 2015: 44-53 - [c9]Annemarie Friedrich
Automatic recognition of habituals: a three-way classification of clausal aspect. EMNLP 2015: 2471-2481 - 2014
- [c8]Annemarie Friedrich
Automatic prediction of aspectual class of verbs in context. ACL (2) 2014: 517-523 - [c7]Annemarie Friedrich
Situation Entity Annotation. LAW@COLING 2014: 149-158 - [c6]Alexis Palmer, Annemarie Friedrich:
Genre Distinctions and Discourse Modes: Text Types Differ in their Situation Type Distributions. ArgNLP 2014 - [c5]Anna Rohrbach, Marcus Rohrbach, Wei Qiu, Annemarie Friedrich, Manfred Pinkal, Bernt Schiele:
Coherent Multi-sentence Video Description with Variable Level of Detail. GCPR 2014: 184-195 - [c4]Annemarie Friedrich, Alexis Palmer:
Centering Theory in natural text: a large-scale corpus study. KONVENS 2014: 137-144 - [c3]Annemarie Friedrich, Marina Valeeva, Alexis Palmer:
LQVSumm: A Corpus of Linguistic Quality Violations in Multi-Document Summarization. LREC 2014: 1591-1599 - [i1]Anna Senina, Marcus Rohrbach, Wei Qiu, Annemarie Friedrich, Sikandar Amin, Mykhaylo Andriluka, Manfred Pinkal, Bernt Schiele:
Coherent Multi-Sentence Video Description with Variable Level of Detail. CoRR abs/1403.6173 (2014) - 2012
- [c2]Annemarie Friedrich, Nikos Engonopoulos, Stefan Thater, Manfred Pinkal:
A Comparison of Knowledge-based Algorithms for Graded Word Sense Assignment. COLING (Posters) 2012: 329-338 - [c1]Casey Redd Kennington, Martin Kay, Annemarie Friedrich:
Suffix Trees as Language Models. LREC 2012: 446-453
Coauthor Index
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last updated on 2024-11-20 20:55 CET by the dblp team
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