Research - Papers
Explore a selection of our published work on a variety of key research challenges in AI.
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…
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…
Semi-Markov Phrase-based Monolingual Alignment
We introduce a novel discriminative model for phrase-based monolingual alignment using a semi-Markov CRF. Our model achieves stateof-the-art alignment accuracy on two phrasebased alignment datasets…
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…
Probabilistic coherence, logical consistency, and Bayesian learning: Neural language models as epistemic agents
It is argued that suitably trained neural language models exhibit key properties of epistemic agency: they hold probabilistically coherent and logically consistent degrees of belief, which they can…
Constructing a Textual KB from a Biology TextBook
As part of our work on building a "knowledgeable textbook" about biology, we are developing a textual question-answering (QA) system that can answer certain classes of biology questions posed by…
Finding Deceptive Opinion Spam by Any Stretch of the Imagination
Consumers increasingly rate, review and research products online (Jansen, 2010; Litvin et al., 2008). Consequently, websites containing consumer reviews are becoming targets of opinion spam. While…