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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… 

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… 

Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction

Been KimJulie Shahand Finale Doshi-Velez
2015
NIPS

We present the Mind the Gap Model (MGM), an approach for interpretable feature extraction and selection. By placing interpretability criteria directly into the model, we allow for the model to both… 

Parsing Algebraic Word Problems into Equations

Rik Koncel-KedziorskiHannaneh HajishirziAshish Sabharwaland Siena Dumas Ang
2015
TACL

This paper formalizes the problem of solving multi-sentence algebraic word problems as that of generating and scoring equation trees. We use integer linear programming to generate equation trees and… 

Semantic Role Labeling for Process Recognition Questions

Samuel LouvanChetan NaikVeronica Lynnand Peter Clark
2015
K-CAP • First International Workshop on Capturing Scientific Knowledge (SciKnow)

We consider a 4th grade level question answering task. We focus on a subset involving recognizing instances of physical, biological, and other natural processes. Many processes involve similar… 

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… 

VISALOGY: Answering Visual Analogy Questions

Fereshteh SadeghiC. Lawrence Zitnickand Ali Farhadi
2015
NIPS

In this paper, we study the problem of answering visual analogy questions. These questions take the form of image A is to image B as image C is to what. Answering these questions entails discovering… 

VisKE: Visual Knowledge Extraction and Question Answering by Visual Verification of Relation Phrases

Fereshteh SadeghiSantosh Divvalaand Ali Farhadi
2015
CVPR

How can we know whether a statement about our world is valid. For example, given a relationship between a pair of entities e.g., 'eat(horse, hay)', how can we know whether this relationship is true… 

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… 

A Data Scientist's Guide to Start-Ups

Foster ProvostGeoffrey I. WebbRon Bekkermanand Claudia Perlich
2014
Big Data

In August 2013, we held a panel discussion at the KDD 2013 conference in Chicago on the subject of data science, data scientists, and start-ups. KDD is the premier conference on data science… 

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