Anna Rumshisky

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 …

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 …

GhostWriter: Using an LSTM for Automatic Rap Lyric Generation

2015

This paper demonstrates the effectiveness of a Long Short-Term Memory language model in our initial efforts to generate unconstrained rap lyrics. The goal of this model is to generate lyrics that are similar in style …

Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture

2017

In this paper, we propose to use a set of simple, uniform in architecture LSTMbased models to recover different kinds of temporal relations from text. Using the shortest dependency path between entities as input, the …

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.