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2020 – today
- 2024
[j3]Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig:
Large Language Models Enable Few-Shot Clustering. Trans. Assoc. Comput. Linguistics 12: 321-333 (2024)- [c21]Antonio Di Mauro
, Zhao Xu, Wiem Ben Rim, Timo Sztyler, Carolin Lawrence:
Generating and Evaluating Plausible Explanations for Knowledge Graph Completion. ACL (1) 2024: 12106-12118 - [c20]Zhao Xu, Wiem Ben Rim, Kiril Gashteovski, Timo Sztyler, Carolin Lawrence:
A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion. EACL (Demonstrations) 2024: 18-26 - [c19]Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito, Kiril Gashteovski, David Friede, Roberto Bifulco, Carolin Lawrence:
AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents. NAACL (Demonstrations) 2024: 185-193 - [c18]Wiem Ben Rim, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Carolin Lawrence, Jürgen Quittek, Sascha Saralajew:
A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision. ECML/PKDD (5) 2024: 20-37 - [i24]Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito, Kiril Gashteovski, David Friede, Roberto Bifulco, Carolin Lawrence:
AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents. CoRR abs/2404.06411 (2024) - 2023
- [j2]Cheng Wang, Carolin Lawrence, Mathias Niepert:
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7739-7750 (2023) - [c17]Ammar Shaker, Carolin Lawrence:
Multi-Source Survival Domain Adaptation. AAAI 2023: 9752-9762 - [c16]Gorjan Radevski, Kiril Gashteovski, Chia-Chien Hung, Carolin Lawrence, Goran Glavas:
Linking Surface Facts to Large-Scale Knowledge Graphs. EMNLP 2023: 7189-7207 - [i23]Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu:
Uncertainty Propagation in Node Classification. CoRR abs/2304.00918 (2023) - [i22]Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig:
Large Language Models Enable Few-Shot Clustering. CoRR abs/2307.00524 (2023) - [i21]Gorjan Radevski, Kiril Gashteovski, Chia-Chien Hung, Carolin Lawrence, Goran Glavas:
Linking Surface Facts to Large-Scale Knowledge Graphs. CoRR abs/2310.14909 (2023) - [i20]Chia-Chien Hung, Wiem Ben Rim, Lindsay Frost, Lars Brückner, Carolin Lawrence:
Walking a Tightrope - Evaluating Large Language Models in High-Risk Domains. CoRR abs/2311.14966 (2023) - 2022
- [c15]Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas:
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark. ACL (demo) 2022: 44-60 - [c14]Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas:
BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation. ACL (1) 2022: 4472-4490 - [c13]Bhushan Kotnis, Kiril Gashteovski, Daniel Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence:
MILIE: Modular & Iterative Multilingual Open Information Extraction. ACL (1) 2022: 6939-6950 - [c12]Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig:
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. EMNLP (Demos) 2022: 338-350 - [c11]Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu:
Uncertainty Propagation in Node Classification. ICDM 2022: 1275-1280 - [i19]Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben Rim, Jürgen Quittek, Carolin Lawrence:
A Human-Centric Assessment Framework for AI. CoRR abs/2205.12749 (2022) - [i18]Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu:
Human-Centric Research for NLP: Towards a Definition and Guiding Questions. CoRR abs/2207.04447 (2022) - [i17]Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig:
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. CoRR abs/2208.11024 (2022) - [i16]Ammar Shaker, Carolin Lawrence:
Multi-Source Survival Domain Adaptation. CoRR abs/2212.00424 (2022) - [i15]Cheng Wang, Carolin Lawrence, Mathias Niepert:
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions. CoRR abs/2212.05178 (2022) - 2021
- [c10]Bhushan Kotnis, Carolin Lawrence, Mathias Niepert:
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders. AAAI 2021: 4968-4977 - [c9]Carolin Lawrence, Timo Sztyler, Mathias Niepert:
Explaining Neural Matrix Factorization with Gradient Rollback. AAAI 2021: 4987-4995 - [c8]Julia Kreutzer, Stefan Riezler, Carolin Lawrence:
Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks. SPNLP@ACL-IJCNLP 2021: 37-43 - [c7]Wiem Ben Rim, Carolin Lawrence, Kiril Gashteovski, Mathias Niepert, Naoaki Okazaki:
Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction. AKBC 2021 - [c6]Cheng Wang, Carolin Lawrence, Mathias Niepert:
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs. ICLR 2021 - [c5]Giuseppe Serra, Zhao Xu, Mathias Niepert, Carolin Lawrence, Peter Tiño, Xin Yao:
Interpreting Node Embedding with Text-labeled Graphs. IJCNN 2021: 1-8 - [i14]Jun Cheng, Carolin Lawrence, Mathias Niepert:
VEGN: Variant Effect Prediction with Graph Neural Networks. CoRR abs/2106.13642 (2021) - [i13]Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Goran Glavas, Mathias Niepert:
BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens. CoRR abs/2109.06850 (2021) - [i12]Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas:
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark. CoRR abs/2109.07464 (2021) - [i11]Bhushan Kotnis, Kiril Gashteovski, Carolin Lawrence, Daniel Oñoro-Rubio, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert:
Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction. CoRR abs/2110.08144 (2021) - 2020
- [i10]Bhushan Kotnis, Carolin Lawrence, Mathias Niepert:
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders. CoRR abs/2004.02596 (2020) - [i9]Carolin Lawrence, Timo Sztyler, Mathias Niepert:
Explaining Neural Matrix Factorization with Gradient Rollback. CoRR abs/2010.05516 (2020) - [i8]Julia Kreutzer, Stefan Riezler, Carolin Lawrence:
Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP. CoRR abs/2011.02511 (2020) - [i7]Cheng Wang, Carolin Lawrence, Mathias Niepert:
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs. CoRR abs/2011.12010 (2020)
2010 – 2019
- 2019
- [b1]Carolin Lawrence:
Response-Based and Counterfactual Learning for Sequence-to-Sequence Tasks in NLP. University of Heidelberg, Germany, 2019 - [j1]Laura Jehl, Carolin Lawrence, Stefan Riezler:
Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss. Trans. Assoc. Comput. Linguistics 7: 233-248 (2019) - [c4]Carolin Lawrence, Bhushan Kotnis, Mathias Niepert:
Attending to Future Tokens for Bidirectional Sequence Generation. EMNLP/IJCNLP (1) 2019: 1-10 - [i6]Laura Jehl, Carolin Lawrence, Stefan Riezler:
Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss. CoRR abs/1907.03748 (2019) - [i5]Carolin Lawrence, Bhushan Kotnis, Mathias Niepert:
Attending to Future Tokens For Bidirectional Sequence Generation. CoRR abs/1908.05915 (2019) - 2018
- [c3]Carolin Lawrence, Stefan Riezler:
Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback. ACL (1) 2018: 1820-1830 - [i4]Carolin Lawrence, Stefan Riezler:
Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback. CoRR abs/1805.01252 (2018) - [i3]Carolin Lawrence, Stefan Riezler:
Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing. CoRR abs/1811.12239 (2018) - 2017
- [c2]Carolin Lawrence, Artem Sokolov, Stefan Riezler:
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation. EMNLP 2017: 2566-2576 - [i2]Carolin Lawrence, Artem Sokolov, Stefan Riezler:
Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation. CoRR abs/1707.09118 (2017) - [i1]Carolin Lawrence, Pratik Gajane, Stefan Riezler:
Counterfactual Learning for Machine Translation: Degeneracies and Solutions. CoRR abs/1711.08621 (2017) - 2016
- [c1]Carolin Lawrence, Stefan Riezler:
NLmaps: A Natural Language Interface to Query OpenStreetMap. COLING (Demos) 2016: 6-10
Coauthor Index
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last updated on 2024-11-05 22:03 CET by the dblp team
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