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pro vyhledávání: '"Qiu, Haoling"'
Autor:
Kandula, Hemanth, Karakos, Damianos, Qiu, Haoling, Rozonoyer, Benjamin, Soboroff, Ian, Tarlin, Lee, Min, Bonan
Frequently, users of an Information Retrieval (IR) system start with an overarching information need (a.k.a., an analytic task) and proceed to define finer-grained queries covering various important aspects (i.e., sub-topics) of that analytic task. W
Externí odkaz:
http://arxiv.org/abs/2409.04667
The current workflow for Information Extraction (IE) analysts involves the definition of the entities/relations of interest and a training corpus with annotated examples. In this demonstration we introduce a new workflow where the analyst directly ve
Externí odkaz:
http://arxiv.org/abs/2203.13602
Timely responses from policy makers to mitigate the impact of the COVID-19 pandemic rely on a comprehensive grasp of events, their causes, and their impacts. These events are reported at such a speed and scale as to be overwhelming. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2105.01819
We present a system for rapidly customizing event extraction capability to find new event types and their arguments. The system allows a user to find, expand and filter event triggers for a new event type by exploring an unannotated corpus. The syste
Externí odkaz:
http://arxiv.org/abs/1809.07783