Keywords, phrases, clauses and sentences: Topicality, indicativeness and informativeness at scalesSpeaker: Min-Yen Kan – Singapore, Singapore
Topic(s): Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing
AbstractKeyphrase extraction and generation are maturing NLP tasks that have grown in importance as the amount of digitally-born authored work grows. How are systems doing today and how can they improve? I examine how the key characteristics of topicality, indicativeness and informativeness can lead to a future agenda shaping the keyphrase extraction and generation research front.
About this LectureNumber of Slides: 45
Duration: 60 minutes
Languages Available: English
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