Automatic generation of domain models for virtual personal assistants
作者： Eran Levy , Yael Karov , Sari Brosh-Lipstein
DOI:
关键词:
摘要: Technologies for automatic domain model generation include a computing device that accesses an n-gram index of web corpus. The generates semantic graph the corpus relevant using index. includes one or more related entities are to seed entity. performs similarity discovery identify and rank contextual synonyms within domain. maintains including intents representing actions in slots parameters intent discover patterns by analyzing graph. slot slots, patterns, values Other embodiments described claimed.
lens.org 参考文章(41)
Vidya Setlur, Weighting metric for visual search of entity-relationship databases ,(2012)
Boris Motik, Sergio Antonio Berná Niñerola, Pablo Castellanos Garcia, Carlos González-Cadenas, Natural Language Question Answering System And Method Based On Deep Semantics ,(2011)
Ruhi Sarikaya, Larry Heck, Tasos Anastasakos, Daniel Boies, Building conversational understanding systems using a toolset ,(2013)
Ruhi Sarikaya, Fethiye Asli Celikyilmaz, Anoop Deoras, Ravikiran Janardhana, Daniel Boies, Scaling statistical language understanding systems across domains and intents ,(2014)
Yasushi Kawashimo, Natsuko Sugaya, Katsumi Tada, Tadataka Matsubayashi, Takuya Okamoto, Method and system for extracting characteristic string, method and system for searching for relevant document using the same, storage medium for storing characteristic string extraction program, and storage medium for storing relevant document searching program ,(1999)
Santhosh Kumar Shivaram, Alex Kass, Kunal Verma, Senthil Ramani, Reymonrod Vasquez, Venkatesh Subramanian, Sumit Dayal, Reshma Nuggehally, Malharrao Mujumdar, Venkatraman Vaidhyanathan, System for Identifying Textual Relationships ,(2012)
Eric Shellef, Yael Karov, Orgad Keller, Reshef Shilon, Micha Breakstone, Self-learning statistical natural language processing for automatic production of virtual personal assistants ,(2014)
Jerome R. Bellegarda, Unified ranking with entropy-weighted information for phrase-based semantic auto-completion ,(2014)
Simon Corston-Oliver, Michael Gamon, Robert C. Moore, Zhu Zhang, Eric Ringger, Sentence realization model for a natural language generation system ,(2002)