Nicole Beckage

2 papers · 2021–2021 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird ❓ The Questioner

Venues

ACL (1) EMNLP (1)

Top co-authors

Richard Antonello (1) Alexander Huth (1) Shachi H Kumar (1) Ramesh Manuvinakurike (1) Saurav Sahay (1) Javier Turek (1)

Research topics

Natural Language Processing (2) Generation (2) Artificial Intelligence (1) Deep Learning (1) Machine Learning (1) Application Areas (1) Core AI (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

curriculum learning (1) meeting summarization (1) semantic role labeling (1) efficient computing (1) context modeling (1) training efficiency (1) information gain (1) language model fine-tuning (1) abstractive summarization (1) example selection (1) keyphrase extraction (1) incremental summarization (1) temporal summarization (1) secondary learner (1)

Papers

Context or No Context? A preliminary exploration of human-in-the-loop approach for Incremental Temporal Summarization in meetings EMNLP 2021 Selecting Informative Contexts Improves Language Model Fine-tuning ACL 2021