Oyvind Tafjord

Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

While in recent years machine learning (ML) based approaches have been the popular approach in developing endto-end question answering systems, such systems often struggle when additional knowledge is needed to correctly answer the questions. Proposed …

Multi-class Hierarchical Question Classification for Multiple Choice Science Exams

2019 · arXiv (Cornell University)

Prior work has demonstrated that question classification (QC), recognizing the problem domain of a question, can help answer it more accurately. However, developing strong QC algorithms has been hindered by the limited size and complexity …

“You are grounded!”: Latent Name Artifacts in Pre-trained Language Models

2020

Pre-trained language models (LMs) may perpetuate biases originating in their training corpus to downstream models. We focus on artifacts associated with the representation of given names (e.g., Donald), which, depending on the corpus, may be …

Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning

2022

Our goal is a question-answering (QA) system that can show how its answers are implied by its own internal beliefs via a systematic chain of reasoning. Such a capability would allow better understanding of why …

2 OLMo 2 Furious

2024 · arXiv (Cornell University)

We present OLMo 2, the next generation of our fully open language models. OLMo 2 includes a family of dense autoregressive language models at 7B, 13B and 32B scales with fully released artifacts -- model …

Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions

2016 · Proceedings of the AAAI Conference on Artificial Intelligence

What capabilities are required for an AI system to pass standard 4th Grade Science Tests? Previous work has examined the use of Markov Logic Networks (MLNs) to represent the requisite background knowledge and interpret test …

AllenNLP: A Deep Semantic Natural Language Processing Platform

2018

Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew Peters, Michael Schmitz, Luke Zettlemoyer. Proceedings of Workshop for NLP Open Source Software (NLP-OSS). 2018.

Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

2018 · arXiv (Cornell University)

We present a new question set, text corpus, and baselines assembled to encourage AI research in advanced question answering. Together, these constitute the AI2 Reasoning Challenge (ARC), which requires far more powerful knowledge and reasoning …

QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships

2019

Many natural la guage questions require recognizing and reasoning with qualitative relationships (e.g., in science, economics, and medicine), but are challenging to answer with corpus-based methods. Qualitative modeling provides tools that support such reasoning, but …

QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions

2019

Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark. 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.