Koninklijke Philips Corporation N.V.

Adi Prakash

Oladimeji Feyisetan Farri

Sheikh Sadid Al Hasan

Junyi Liu

Vivek Varma Datla

Ashequl Qadir

Kathy Mi Young Lee

Reza Ghaeini

A system () for automated question answering, including: semantic space () generated from a corpus of questions and answers; a user interface () configured to receive a question; and a processor () comprising: (i) a question decomposition engine () configured to decompose the question into a domain, a keyword, and a focus word; (ii) a question similarity generator () configured to identify one or more questions in a semantic space using the decomposed question; (iii) an answer extraction and ranking engine () configured to: extract, from the semantic space, answers associated with the one or more identified questions; and identify one or more of the extracted answers as a best answer; and (iv) an answer tuning engine () configured to fine-tune the identified best answer using one or more of the domain, keyword, and focus word; wherein the fine-tuned answer is provided to the user via the user interface.

Multi domain real-time question answering system

Methods and systems for generating a question from free text. The system is trained on a corpus of data and receives a tuple consisting of a paragraph (free text), a focused fact, and a question type. The system implements a language model to find the most optimal combination of words to return a question for the paragraph about the focused fact.

Question generation

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Adi Prakash