公开(公告)号：US20170185591A1

公开(公告)日：2017-06-29

申请号：US14757446

申请日：2015-12-23

Applicant: Yahoo! Inc.

Inventor： Joel Tetreault ,  Ellie Pavlick

IPC: G06F17/28 ,  G06F17/30 ,  G06F17/27

Abstract: The present teaching relates to automatic formality classification and transformation of online text items. In one example, a request is received for determining a formality level of a text item in an online communication. One or more linguistic features are extracted from the text item. Contextual information with respect to the online communication is extracted. A formality level of the text item is determined based on the one or more linguistic features and the contextual information. The formality level represents a degree of formality of the text item. The formality level is provided as a response to the request.

公开(公告)号：US20170185590A1

公开(公告)日：2017-06-29

申请号：US14757423

申请日：2015-12-23

Applicant: Yahoo! Inc.

Inventor： Joel Tetreault ,  Ellie Pavlick

IPC: G06F17/28 ,  G06F17/22 ,  G06F17/27

CPC classification number: G06F17/2881 ,  G06F17/2264 ,  G06F17/2705 ,  G06F17/274 ,  G06F17/2809

Abstract: The present teaching relates to automatic formality classification and transformation of online text items. In one example, a request is received for transforming a formality level of a text item in an online communication. A current formality level of the text item is obtained. The current formality level represents a current degree of formality of the text item. A target formality level is determined for the text item based on the request. The target formality level represents a targeted degree of formality for the text item. The text item having the current formality level is transformed to a transformed text item having the target formality level. The transformed text item has a same literal meaning as the text item. The transformed text item is provided as a response to the request.

公开(公告)号：US20170257329A1

公开(公告)日：2017-09-07

申请号：US15059596

申请日：2016-03-03

Applicant: YAHOO! INC.

Inventor： Joel Tetreault ,  Aasish Pappu ,  Edo Liberty ,  Liangliang Cao ,  Meizhu Liu ,  Ellie Pavlick ,  Gilad Tsur ,  Yoelle Maarek

IPC: H04L12/58 ,  G06F17/24 ,  G06F17/27

CPC classification number: H04L51/046 ,  G06F17/241 ,  G06F17/273 ,  G06F17/274 ,  G06F17/2755 ,  G06F17/2765 ,  G06F17/2785 ,  H04L51/02 ,  H04L67/02

Abstract: Disclosure includes an electronic message composition support system, method and architecture. Techniques including machine learning and natural language processing techniques are used to extend message composition capability and support and to provide feedback to a user regarding an error, condition, etc. detected in the user's message before the user sends the message, e.g., while the user is composing the message using a messaging application's user interface.