Identifying Real-Life Complex Task Names with Task-Intrinsic Entities from Microblogs

Autor: Kun-Yu Tsai, Ting-Xuan Wang, Wen-Hsiang Lu
Rok vydání: 2014
Předmět:
Zdroj: ACL (2)
DOI: 10.3115/v1/p14-2077
Popis: Recently, users who search on the web are targeting to more complex tasks due to the explosive growth of web usage. To accomplish a complex task, users may need to obtain information of various entities. For example, a user who wants to travel to Beijing, should book a flight, reserve a hotel room, and survey a Beijing map. A complex task thus needs to submit several queries in order to seeking each of entities. Understanding complex tasks can allow a search engine to suggest related entities and help users explicitly assign their ongoing tasks.
Databáze: OpenAIRE