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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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Structured Set Matching Networks for One-Shot Part Labeling

Jonghyun ChoiJayant KrishnamurthyAniruddha KembhaviAli Farhadi
2018
CVPR

Diagrams often depict complex phenomena and serve as a good test bed for visual and textual reasoning. However, understanding diagrams using natural image understanding approaches requires large… 

Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension

Bhavana DalviLifu HuangNiket TandonPeter Clark
2018
NAACL

We present a new dataset and models for comprehending paragraphs about processes (e.g., photosynthesis), an important genre of text describing a dynamic world. The new dataset, ProPara, is the first… 

VISIR: Visual and Semantic Image Label Refinement

Sreyasi Nag ChowdhuryNiket TandonHakan FerhatosmanogluGerhard Weikum
2018
WSDM

The social media explosion has populated the Internet with a wealth of images. There are two existing paradigms for image retrieval: 1)content-based image retrieval (BIR), which has traditionally… 

What Happened? Leveraging VerbNet to Predict the Effects of Actions in Procedural Text

Peter ClarkBhavana DalviNiket Tandon
2018
arXiv

Our goal is to answer questions about paragraphs describing processes (e.g., photosynthesis). Texts of this genre are challenging because the effects of actions are often implicit (unstated),… 

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data

Kiana EhsaniHessam BagherinezhadJoe RedmonAli Farhadi
2018
CVPR

We study the task of directly modelling a visually intelligent agent. Computer vision typically focuses on solving various subtasks related to visual intelligence. We depart from this standard… 

Ontology Alignment in the Biomedical Domain Using Entity Definitions and Context

Lucy L. WangChandra BhagavatulaM. NeumannWaleed Ammar
2018
ACL • Proceedings of the BioNLP 2018 Workshop

Ontology alignment is the task of identifying semantically equivalent entities from two given ontologies. Different ontologies have different representations of the same entity, resulting in a need… 

The Web as a Knowledge-base for Answering Complex Questions

Alon TalmorJonathan Berant
2018
NAACL

Answering complex questions is a time-consuming activity for humans that requires reasoning and integration of information. Recent work on reading comprehension made headway in answering simple… 

Sounding Board: A User-Centric and Content-Driven Social Chatbot

Hao FangHao ChengMaarten Sapand Mari Ostendorf
2018
NAACL-HTL

We present Sounding Board, a social chatbot that won the 2017 Amazon Alexa Prize. The system architecture consists of several components including spoken language processing, dialogue management,… 

Simulating Action Dynamics with Neural Process Networks

Antoine BosselutOmer LevyAri Holtzmanand Yejin Choi
2018
ICLR

Understanding procedural language requires anticipating the causal effects of actions, even when they are not explicitly stated. In this work, we introduce Neural Process Networks to understand… 

Knowledge Completion for Generics Using Guided Tensor Factorization

Hanie Sedghi and Ashish Sabharwal
2018
TACL

Given a knowledge base or KB containing (noisy) facts about common nouns or generics, such as "all trees produce oxygen" or "some animals live in forests", we consider the problem of inferring…