Portrait of Alexandra Olteanu

Alexandra Olteanu

Associate Industry Member
Principal Researcher and founding members of the FATE Montréal Team, Microsoft Research, Montréal
Research Topics
Information Retrieval
Natural Language Processing

Publications

Responsible AI Considerations in Text Summarization Research: A Review of Current Practices
Meng Cao
Su Lin Blodgett
Adam Trischler
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources
Akshatha Arodi
Kaheer Suleman
Adam Trischler
Many state-of-the-art natural language understanding (NLU) models are based on pretrained neural language models. These models often make in… (see more)ferences using information from multiple sources. An important class of such inferences are those that require both background knowledge, presumably contained in a model’s pretrained parameters, and instance-specific information that is supplied at inference time. However, the integration and reasoning abilities of NLU models in the presence of multiple knowledge sources have been largely understudied. In this work, we propose a test suite of coreference resolution subtasks that require reasoning over multiple facts. These subtasks differ in terms of which knowledge sources contain the relevant facts. We also introduce subtasks where knowledge is present only at inference time using fictional knowledge. We evaluate state-of-the-art coreference resolution models on our dataset. Our results indicate that several models struggle to reason on-the-fly over knowledge observed both at pretrain time and at inference time. However, with task-specific training, a subset of models demonstrates the ability to integrate certain knowledge types from multiple sources. Still, even the best performing models seem to have difficulties with reliably integrating knowledge presented only at inference time.
ADEPT: An Adjective-Dependent Plausibility Task
Kaheer Suleman
Adam Trischler