Khalil Simaan

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A major architectural decision in designing a disambiguation model for segmentation and Part-of-Speech (POS) tagging in Semitic languages concerns the choice of the input-output terminal symbols over which the probability distributions are defined. In this paper we develop a segmenter and a tagger for Hebrew based on Hidden Markov Models (HMMs). We start(More)
We show that naı̈ve modeling of morphosyntactic agreement in a Constituency-Based (CB) statistical parsing model is worse than none, whereas a linguistically adequate way of modeling inflectional morphology in CB parsing leads to improved performance. In particular, we show that an extension of the Relational-Realizational (RR) model that incorporates(More)
Current parameters of accurate unlexicalized parsers based on Probabilistic ContextFree Grammars (PCFGs) form a twodimensional grid in which rewrite events are conditioned on both horizontal (headoutward) and vertical (parental) histories. In Semitic languages, where arguments may move around rather freely and phrasestructures are often shallow, there are(More)
We address Question Answering (QA) for biographical questions, i.e., questions asking for biographical facts about persons. The domain of biographical documents differs from other restricted domains in that the available collections of biographies are inherently incomplete: a major challenge is to answer questions about persons for whom biographical(More)
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