Ana Marasovic

According to our database1, Ana Marasovic authored at least 28 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Chain-of-Thought Unfaithfulness as Disguised Accuracy.
Trans. Mach. Learn. Res., 2024

Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

On Evaluating Explanation Utility for Human-AI Decision Making in NLP.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
How Much Consistency Is Your Accuracy Worth?
Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Few-Shot Self-Rationalization with Natural Language Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Does Self-Rationalization Improve Robustness to Spurious Correlations?
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Documenting the English Colossal Clean Crawled Corpus.
CoRR, 2021

Teach Me to Explain: A Review of Datasets for Explainable NLP.
CoRR, 2021

Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Measuring Association Between Labels and Free-Text Rationales.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Effective Attention Sheds Light On Interpretability.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Explaining NLP Models via Minimal Contrastive Editing (MiCE).
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Promoting Graph Awareness in Linearized Graph-to-Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Deep Learning With Sentiment Inference For Discourse-Oriented Opinion Analysis.
PhD thesis, 2020

Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
What's Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization.
Proceedings of the Fifth International Conference on Social Networks Analysis, 2018

SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning with Semantic Role Labeling.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017
SRL4ORL: Improving Opinion Role Labelling using Multi-task Learning with Semantic Role Labeling.
CoRR, 2017

A Mention-Ranking Model for Abstract Anaphora Resolution.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Multilingual Modal Sense Classification using a Convolutional Neural Network.
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016


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