Jordan Boyd‐Graber
7 papers in the PaperMetrix corpus
Papers by this author
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Adapting Coreference Resolution Models through Active Learning
2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Neural coreference resolution models trained on one dataset may not transfer to new, lowresource domains. Active learning mitigates this problem by sampling a small subset of data for annotators to label. While active learning is …
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Re-Examining Calibration: The Case of Question Answering
2022 · arXiv (Cornell University)
For users to trust model predictions, they need to understand model outputs, particularly their confidence - calibration aims to adjust (calibrate) models' confidence to match expected accuracy. We argue that the traditional calibration evaluation does …
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MegaWika: Millions of reports and their sources across 50 diverse languages
2023 · arXiv (Cornell University)
To foster the development of new models for collaborative AI-assisted report generation, we introduce MegaWika, consisting of 13 million Wikipedia articles in 50 diverse languages, along with their 71 million referenced source materials. We process …
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KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students
2024 · arXiv (Cornell University)
Flashcard schedulers rely on 1) student models to predict the flashcards a student knows; and 2) teaching policies to pick which cards to show next via these predictions. Prior student models, however, just use study …
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Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA
2024 · arXiv (Cornell University)
Recent advancements of large language models (LLMs) have led to claims of AI surpassing humans in natural language processing (NLP) tasks such as textual understanding and reasoning. This work investigates these assertions by introducing CAIMIRA, …
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You Make me Feel like a Natural Question: Training QA Systems on Transformed Trivia Questions
2024
Training question answering (QA) and information retrieval systems for web queries require large, expensive datasets that are difficult to annotate and time-consuming to gather.Moreover, while natural datasets of informationseeking questions are often prone to ambiguity …
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Deep Unordered Composition Rivals Syntactic Methods for Text Classification
2015
Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, Hal Daumé III. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). …