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Research - Papers

Explore a selection of our published work on a variety of key research challenges in AI.

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Learning Knowledge Graphs for Question Answering through Conversational Dialog

Ben HixonPeter Clarkand Hannaneh Hajishirzi
2015
NAACL

We describe how a question-answering system can learn about its domain from conversational dialogs. Our system learns to relate concepts in science questions to propositions in a fact corpus, stores… 

Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering

Rebecca SharpPeter JansenMihai Surdeanuand Peter Clark
2015
NAACL

Monolingual alignment models have been shown to boost the performance of question answering systems by "bridging the lexical chasm" between questions and answers. The main limitation of these… 

Identifying Meaningful Citations

Marco ValenzuelaVu Haand Oren Etzioni
2015
AAAI • Workshop on Scholarly Big Data

We introduce the novel task of identifying important citations in scholarly literature, i.e., citations that indicate that the cited work is used or extended in the new effort. We believe this task… 

Elementary School Science and Math Tests as a Driver for AI: Take the Aristo Challenge!

Peter Clark
2015
Proceedings of IAAI

While there has been an explosion of impressive, datadriven AI applications in recent years, machines still largely lack a deeper understanding of the world to answer questions that go beyond… 

Looking Beyond Text: Extracting Figures, Tables and Captions from Computer Science Papers

Christopher Clark and Santosh Divvala
2015
AAAI • Workshop on Scholarly Big Data

Identifying and extracting figures and tables along with their captions from scholarly articles is important both as a way of providing tools for article summarization, and as part of larger systems… 

Connotation Frames: A Data-Driven Investigation

Hannah RashkinSameer SinghYejin Choi
2015
ACL

Through a particular choice of a predicate (e.g., "x violated y"), a writer can subtly connote a range of implied sentiments and presupposed facts about the entities x and y: (1) writer's… 

Insights Into Parallelism with Intensive Knowledge Sharing

Ashish Sabharwal and Horst Samulowitz
2014
International Conference on Principles and Practice of Constraint Programming

Novel search space splitting techniques have recently been successfully exploited to paralleliz Constraint Programming and Mixed Integer Programming solvers. We first show how universal hashing can… 

Automatic Construction of Inference-Supporting Knowledge Bases

Peter ClarkNiranjan BalasubramanianSumithra Bhakthavatsalamand Oyvind Tafjord
2014
AKBC

While there has been tremendous progress in automatic database population in recent years, most of human knowledge does not naturally fit into a database form. For example, knowledge that "metal… 

Modeling Biological Processes for Reading Comprehension

Jonathan BerantVivek SrikumarPei-Chun Chenand Peter Clark
2014
EMNLP

Machine reading calls for programs that read and understand text, but most current work only attempts to extract facts from redundant web-scale corpora. In this paper, we focus on a new reading… 

Learning to Solve Arithmetic Word Problems with Verb Categorization

Mohammad Javad HosseiniHannaneh HajishirziOren Etzioniand Nate Kushman
2014
EMNLP

This paper presents a novel approach to learning to solve simple arithmetic word problems. Our system, ARIS, analyzes each of the sentences in the problem statement to identify the relevant… 

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