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    • NAACL 2013
      Xuchen Yao, Benjamin Van Durme, Chris Callision-Burch, and Peter Clark
      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 sentences, learning the association between questions and answer types. This casts answer extraction as…  (More)
    • EMNLP 2013
      Xuchen Yao, Benjamin Van Durme, Chris Callision-Burch, and Peter Clark
      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 other strong baselines in both non…  (More)
    • AKBC 2013
      Xiao Ling, Dan Weld, and Peter Clark
      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, but achieving both high precision and…  (More)
    • EMNLP 2013
      Aju Thalappillil Scaria, Jonathan Berant, Mengqiu Wang, Christopher D. Manning, Justin Lewis, Brittany Harding, and Peter Clark
      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 applications involving inference such as…  (More)
    • CIKM • AKBC 2013
      Peter Clark, Phil Harrison, and Niranjan Balasubramanian
      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 science test, anticipating that much of…  (More)
    • NAACL-HLT • AKBC Workshop 2012
      Peter Clark, Phil Harrison, Niranjan Balasubramanian, and Oren Etzioni
      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 assembled set of semi-structured…  (More)