Nafise Sadat Moosavi

Learning to Reason for Text Generation from Scientific Tables

2021 · arXiv (Cornell University)

In this paper, we introduce SciGen, a new challenge dataset for the task of reasoning-aware data-to-text generation consisting of tables from scientific articles and their corresponding descriptions. Describing scientific tables goes beyond the surface realization …

NL-Augmenter 🦎 → 🐍 A Framework for Task-Sensitive Natural Language Augmentation

2023 · Northern European Journal of Language Technology

Data augmentation is an important method for evaluating the robustness of and enhancing the diversity of training data for natural language processing (NLP) models. In this paper, we present NL-Augmenter, a new participatory Python-based natural …

Learning From Free-Text Human Feedback -- Collect New Datasets Or Extend Existing Ones?

2023 · arXiv (Cornell University)

Learning from free-text human feedback is essential for dialog systems, but annotated data is scarce and usually covers only a small fraction of error types known in conversational AI. Instead of collecting and annotating new …

Anaphora Resolution with the ARRAU Corpus

2018

Massimo Poesio, Yulia Grishina, Varada Kolhatkar, Nafise Moosavi, Ina Roesiger, Adam Roussel, Fabian Simonjetz, Alexandra Uma, Olga Uryupina, Juntao Yu, Heike Zinsmeister. Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference. …