Markus Hänse

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We investigate the automatic harvesting of research paper metadata from recent scholarly events. Our system, Kairos, combines a focused crawler and an information extraction engine, to convert a list of conference websites into a index filled with fields of metadata that correspond to individual papers. Using event date metadata extracted from the(More)
Research Deep learning models for languages. Incremental parsers for psycholinguistics applications. Designed a new assignment on learning to rank and handled standard TA work. Developed grounded language learning models to capture topics in child-directed speech. Responsibilities: improved machine translation quality and developed a digital library web(More)
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