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Efficient Confirmation Strategy for Large-scale Text Retrieval Systems with Spoken Dialogue Interface

Authors: nan

Publication: TIPSTER (2004)

DOI: nan

Adequate confirmation for keywords is in- dispensable in spoken dialogue systems to eliminate misunderstandings caused by speech recognition errors. Spoken lan- guage also inherently includes out-of- domain phrases and redundant …...

5778

Automatic Summarization Using Terminological and Semantic Resources

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

AbstractThis paper presents a new algorithm for automatic summarization of specialized texts combining terminological and semantic resources: a term extractor and an ontology. The term extractor provides the list of …...

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A Study of Concept-based Weighting Regularization for Medical Records Search

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

An important search task in the biomedical domain is to find medical records of pa- tients who are qualified for a clinical trial. One commonly used approach is to apply …...

40582

“PageRank” for Argument Relevance

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Publication: TIPSTER (2017)

DOI: nan

AbstractFuture search engines are expected to deliver pro and con arguments in response to queries on controversial topics. While argument mining is now in the focus of research, the question …...

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Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization

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Publication: TIPSTER (2020)

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AbstractInformation retrieval (IR) for precision medicine (PM) often involves looking for multiple pieces of evidence that characterize a patient case. This typically includes at least the name of a condition …...

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SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers

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Publication: TIPSTER (2021)

DOI: nan

AbstractWe introduce SelfExplain, a novel self-explaining model that explains a text classifier’s predictions using phrase-based concepts. SelfExplain augments existing neural classifiers by adding (1) a globally interpretable layer that identifies …...

32035