公开(公告)号：US20230079455A1

公开(公告)日：2023-03-16

申请号：US17732816

申请日：2022-04-29

Applicant: Tata Consultancy Services Limited

Inventor： Tirthankar DASGUPTA ,  Suyash SANGWAN ,  Tushar GOEL ,  Lipika DEY ,  Akshara RAI ,  Mohammad SHAKIR ,  Abir NASKAR ,  Ishan VERMA ,  Aninda SUKLA

IPC: G06F16/34 ,  G06F16/35

Abstract: Conventionally, text summarization has been rule-based method and neural network based which required large dataset for training and the summary delivered had to be assessed by user in terms of relevancy. System and method are provided by present disclosure that generate causal insight summaries wherein event of importance is detected, and it is determined why event is relevant to a user. Text description is processed for named entities recognition, polarities of sentences identified, extraction of causal effects sentences (CES) and causal relationship identification in text segments which correspond to impacting events. Named entities are then role labeled. A score is computed for named entities, polarities of sentences, causal effects sentences, causal relationships, and the impacting events. A causal insight summary is generated with overall polarity being computed/determined. A customized causal insight summary is delivered to target users based on user preferences associated with specific named entities and impacting events.

公开(公告)号：US20190065467A1

公开(公告)日：2019-02-28

申请号：US16110490

申请日：2018-08-23

Applicant: Tata Consultancy Services Limited

Inventor： Lipika DEY ,  Tirthankar DASGUPTA ,  Priyankar GHOSH ,  Anjan DUTTA ,  Abir NASKAR ,  Rupsa SAHA

IPC: G06F17/27 ,  G06N99/00

Abstract: System and method for method and system for event profiling is described that processes large volume of data gathered from a plurality of digital sources to automatically profile and continuously update an event. The system utilizes, an ensemble of probabilistic classifiers for automated extraction of finer details of the event, which use linguistic features for profiling information about the event, wherein the information is spread across various data sources. Further, disambiguation is performed to augment the accuracy of the event profiling. The system enables semantically linking of related events curated in the knowledge base and thereby performs semantic search over it. The system takes user-feedback and improves upon the information extraction process through reinforcement learning.