Travis Wolfe

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We increase the lexical coverage of FrameNet through automatic paraphrasing. We use crowdsourcing to manually filter out bad paraphrases in order to ensure a high-precision resource. Our expanded FrameNet contains an additional 22K lexical units, a 3-fold increase over the current FrameNet, and achieves 40% better coverage when evaluated in a practical(More)
BACKGROUND Healthy older adults report greater well-being and life satisfaction than their younger counterparts. One potential explanation for this is enhanced optimism. We tested the influence of age on optimistic and pessimistic beliefs about the future and the associated structural neural correlates. METHOD Eighteen young and 18 healthy older adults(More)
In either setting, it is common for a research group to generate bulk annotations over a preferred corpus internally, using their own tools, programming languages and formats, but then reporting on this as merely an engineering pre-processing step not worth describing in significant detail. Worse, these annotated collections are often not available to the(More)
We introduce PARMA, a system for crossdocument, semantic predicate and argument alignment. Our system combines a number of linguistic resources familiar to researchers in areas such as recognizing textual entailment and question answering, integrating them into a simple discriminative model. PARMA achieves state of the art results on an existing and a new(More)
This paper describes a data-base system for the maintenance of cumulative clinical data. A unique aspect of this data base is its ability dynamically to alter its two-level format to create an alternative three-level hierarchical structure in order to optimize retrieval efficiency. The relative advantages of these two types of data-base structures are(More)
Effectively exploring and analyzing large text corpora requires visualizations that provide a high level summary. Past work has relied on faceted browsing of document metadata or on natural language processing of document text. In this paper, we present a new web-based tool that integrates topics learned from an unsupervised topic model in a faceted(More)
We present a joint model for predicate argument alignment. We leverage multiple sources of semantic information, including temporal ordering constraints between events. These are combined in a max-margin framework to find a globally consistent view of entities and events across multiple documents, which leads to improvements over a very strong local(More)
Natural language processing research increasingly relies on the output of a variety of syntactic and semantic analytics. Yet integrating output from multiple analytics into a single framework can be time consuming and slow research progress. We present a CONCRETE Chinese NLP Pipeline: an NLP stack built using a series of open source systems integrated based(More)