Papers

Learn more about AI2's Lasting Impact Award
Viewing 731-736 of 736 papers
  • A Study of the Knowledge Base Requirements for Passing an Elementary Science Test

    Peter Clark, Phil Harrison, and Niranjan BalasubramanianCIKM • AKBC2013 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 for this, our goal is to have the computer pass a fourth-grade…
  • Extracting Meronyms for a Biology Knowledge Base Using Distant Supervision

    Xiao Ling, Dan Weld, and Peter ClarkAKBC2013 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 hand-written patterns, supervised learning, and bootstrapped methods…
  • Learning Biological Processes with Global Constraints

    Aju Thalappillil Scaria, Jonathan Berant, Mengqiu Wang, Christopher D. Manning, Justin Lewis, Brittany Harding, and Peter ClarkEMNLP2013 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 processes would dramatically improve the performance of semantic…
  • Semi-Markov Phrase-based Monolingual Alignment

    Xuchen Yao, Benjamin Van Durme, Chris Callision-Burch, and Peter ClarkEMNLP2013 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 (RTE and paraphrase), while doing significantly better than…
  • Constructing a Textual KB from a Biology TextBook

    Peter Clark, Phil Harrison, Niranjan Balasubramanian, and Oren EtzioniNAACL-HLT • AKBC Workshop2012 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 users. In support of that, we are building a "textual KB" - an…
  • Finding Deceptive Opinion Spam by Any Stretch of the Imagination

    Myle Ott, Yejin Choi, Claire Cardie, J. HancockACL2011 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 recent work has focused primarily on manually identifiable…