Skip to main content ->
Ai2

Research - Papers

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

Filter papers

Incorporating Ethics into Artificial Intelligence

Amitai Etzioni and Oren Etzioni
2017
Journal of Ethics

This article reviews the reasons scholars hold that driverless cars and many other AI equipped machines must be able to make ethical decisions, and the difficulties this approach faces. It then… 

Interactive Visualization for Linguistic Structure

Aaron SarnatVidur JoshiCristian Petrescu-Prahovaand Mark Hopkins
2017
EMNLP

We provide a visualization library and web interface for interactively exploring a parse tree or a forest of parses. The library is not tied to any particular linguistic representation, but provides… 

LCNN: Lookup-based Convolutional Neural Network

Hessam BagherinezhadMohammad Rastegariand Ali Farhadi
2017
CVPR

Porting state of the art deep learning algorithms to resource constrained compute platforms (e.g. VR, AR, wearables) is extremely challenging. We propose a fast, compact, and accurate model for… 

Learning to Predict Citation-Based Impact Measures

Luca Weihs and Oren Etzioni
2017
JCDL

Citations implicitly encode a community's judgment of a paper's importance and thus provide a unique signal by which to study scientific impact. Efforts in understanding and refining this signal are… 

Learning What is Essential in Questions

Daniel KhashabiTushar KhotAshish Sabharwaland Dan Roth
2017
CoNLL

Question answering (QA) systems are easily distracted by irrelevant or redundant words in questions, especially when faced with long or multi-sentence questions in difficult domains. This paper… 

Leveraging Term Banks for Answering Complex Questions: A Case for Sparse Vectors

Peter D. Turney
2017
arXiv

While open-domain question answering (QA) systems have proven effective for answering simple questions, they struggle with more complex questions. Our goal is to answer more complex questions… 

Neural Semantic Parsing with Type Constraints for Semi-Structured Tables

Jayant KrishnamurthyPradeep Dasigiand Matt Gardner
2017
EMNLP

We present a new semantic parsing model for answering compositional questions on semi-structured Wikipedia tables. Our parser is an encoder-decoder neural network with two key technical innovations:… 

Ontology Aware Token Embeddings for Prepositional Phrase Attachment

Pradeep DasigiWaleed AmmarChris Dyerand Eduard Hovy
2017
ACL

Type-level word embeddings use the same set of parameters to represent all instances of a word regardless of its context, ignoring the inherent lexical ambiguity in language. Instead, we embed… 

Pros and Cons of Autonomous Weapons Systems

Amitai Etzioni and Oren Etzioni
2017
Military Review

Autonomous weapons systems and military robots are progressing from science fiction movies to designers' drawing boards, to engineering laboratories, and to the battlefield. These machines have… 

QSAnglyzer: Visual Analytics for Prismatic Analysis of Question Answering System Evaluations

Nan-Chen Chen and Been Kim
2017
VAST

Developing sophisticated artificial intelligence (AI) systems requires AI researchers to experiment with different designs and analyze results from evaluations (we refer this task as evaluation…