Research - Papers
Explore a selection of our published work on a variety of key research challenges in AI.
Insights Into Parallelism with Intensive Knowledge Sharing
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…
Modeling Biological Processes for Reading Comprehension
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…
Open Question Answering Over Curated and Extracted Knowledge Bases
We consider the problem of open-domain question answering (Open QA) over massive knowledge bases (KBs). Existing approaches use either manually curated KBs like Freebase or KBs automatically…
Discourse Complements Lexical Semantics for Non-factoid Answer Reranking
We propose a robust answer reranking model for non-factoid questions that integrates lexical semantics with discourse information, driven by two representations of discourse: a shallow…
A Lightweight and High Performance Monolingual Word Aligner
Fast alignment is essential for many natural language tasks. But in the setting of monolingual alignment, previous work has not been able to align more than one sentence pair per second. We describe…
Automatic Coupling of Answer Extraction and Information Retrieval
Information Retrieval (IR) and Answer Extraction are often designed as isolated or loosely connected components in Question Answering (QA), with repeated overengineering on IR, and not necessarily…
Answer Extraction as Sequence Tagging with Tree Edit Distance
Our goal is to extract answers from preretrieved sentences for Question Answering (QA). We construct a linear-chain Conditional Random Field based on pairs of questions and their possible answer…
A Study of the Knowledge Base Requirements for Passing an Elementary Science Test
Our long-term interest is in machines that contain large amounts of general and scientific knowledge, stored in a "computable" form that supports reasoning and explanation. As a medium-term focus…
Extracting Meronyms for a Biology Knowledge Base Using Distant Supervision
Knowledge of objects and their parts, meronym relations, are at the heart of many question-answering systems, but manually encoding these facts is impractical. Past researchers have tried…
Learning Biological Processes with Global Constraints
Biological processes are complex phenomena involving a series of events that are related to one another through various relationships. Systems that can understand and reason over biological…