Research - Papers
Explore a selection of our published work on a variety of key research challenges in AI.
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:…
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…
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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