Anna Rogers

Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks

2020 · Proceedings of the AAAI Conference on Artificial Intelligence

The recent explosion in question answering research produced a wealth of both factoid reading comprehension (RC) and commonsense reasoning datasets. Combining them presents a different kind of task: deciding not simply whether information is present …

‘Just What do You Think You’re Doing, Dave?’ A Checklist for Responsible Data Use in NLP

2021

A key part of the NLP ethics movement is responsible use of data, but exactly what that means or how it can be best achieved remain unclear. This position paper discusses the core legal and …

NarrativeTime: Dense Temporal Annotation on a Timeline

2019 · arXiv (Cornell University)

For the past decade, temporal annotation has been sparse: only a small portion of event pairs in a text was annotated. We present NarrativeTime, the first timeline-based annotation framework that achieves full coverage of all …

The (too Many) Problems of Analogical Reasoning with Word Vectors

2017

This paper explores the possibilities of analogical reasoning with vector space models. Given two pairs of words with the same relation (e.g. man:woman :: king:queen), it was proposed that the offset between one pair of …

Revealing the Dark Secrets of BERT

2019

Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

2022 · arXiv (Cornell University)

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed …