Alexander Vasserman

Learn More
This paper reports some experiments that compare the accuracy and performance of two stochastic parsing systems. The currently popular Collins parser is a shallow parser whose output contains more detailed semantically-relevant information than other such parsers. The XLE parser is a deep-parsing system that couples a Lexical Functional Grammar to a(More)
We present an approach to query expansion in answer retrieval that uses Statistical Machine Translation (SMT) techniques to bridge the lexical gap between questions and answers. SMT-based query expansion is done by i) using a full-sentence paraphraser to introduce synonyms in context of the entire query, and ii) by translating query terms into answer terms(More)
We present an approach to bounded constraint-relaxation for entropy maximization that corresponds to using a double-exponential prior or 1 reg-ularizer in likelihood maximization for log-linear models. We show that a combined incremental feature selection and regularization method can be established for maximum entropy modeling by a natural incorporation of(More)
User logs of search engines have recently been applied successfully to improve various aspects of web search quality. In this paper, we will apply pairs of user queries and snippets of clicked results to train a machine translation model to bridge the " lexical gap " between query and document space. We show that the combination of a query-to-snippet(More)
We investigate various strategies for finding chemicals in biomedical text using substring co-occurrence information. The goal i s to build a system from readily available data with minimal human involvement. Our models are trained from a dictionary of chemical names and general biomedical text. We investigated several strategies including Naïve Bayes(More)
  • 1