View source for 17735700. METHOD OF NATURAL LANGUAGE PROCESSING BY PERFORMING SEMANTIC ANALYSIS USING SYNTACTIC INFORMATION, AND AN APPARATUS FOR THE SAME simplified abstract (Samsung Electronics Co., Ltd.)

=METHOD OF NATURAL LANGUAGE PROCESSING BY PERFORMING SEMANTIC ANALYSIS USING SYNTACTIC INFORMATION, AND AN APPARATUS FOR THE SAME=


==Organization Name==

[[:Category:Samsung Electronics Co., Ltd.|Samsung Electronics Co., Ltd.]]


[[Category:Samsung Electronics Co., Ltd.]]

==Inventor(s)==

[[:Category:Dat Quoc Ngo of Plano TX (US)|Dat Quoc Ngo of Plano TX (US)]][[Category:Dat Quoc Ngo of Plano TX (US)]]

[[:Category:Suhel Jaber of San Jose CA (US)|Suhel Jaber of San Jose CA (US)]][[Category:Suhel Jaber of San Jose CA (US)]]

==METHOD OF NATURAL LANGUAGE PROCESSING BY PERFORMING SEMANTIC ANALYSIS USING SYNTACTIC INFORMATION, AND AN APPARATUS FOR THE SAME - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17735700 titled 'METHOD OF NATURAL LANGUAGE PROCESSING BY PERFORMING SEMANTIC ANALYSIS USING SYNTACTIC INFORMATION, AND AN APPARATUS FOR THE SAME

==Simplified Explanation==

The patent application describes a method for enhancing natural language understanding by incorporating syntactic information. Here are the key points:

* The method involves parsing a written or spoken sentence into a syntactic tree.
* Each word in the sentence is encoded using a deep-learning network.
* A graph-based neural network is used to encode the syntactic subtree for each word.
* The encoded word and its corresponding syntactic subtree are fused together.
* The fused encodings are then used by a semantic neural network to perform various semantic tasks.

Potential applications of this technology:

* Natural language processing systems
* Virtual assistants and chatbots
* Sentiment analysis and opinion mining
* Information retrieval and question answering systems

Problems solved by this technology:

* Enhances the accuracy and performance of natural language understanding systems.
* Improves the understanding of complex sentence structures.
* Enables better interpretation of the relationships between words in a sentence.

Benefits of this technology:

* More accurate and reliable natural language understanding.
* Enhanced ability to handle complex sentence structures.
* Improved interpretation of the meaning and context of words in a sentence.


==Original Abstract Submitted==

A method for performing one or more natural language understanding semantic tasks augmented with syntactic information includes parsing a written or spoken utterance comprising a plurality of tokens into a full syntactic tree for the utterance; encoding each token in the utterance using a word encoder based on deep-learning network; encoding using a graph-based neural network, for each token, a syntactic subtree in which the token is a head; fusing each encoded token with the encoded syntactic subtree corresponding to that encoded token; and providing the fused encodings to a semantic neural network for performing one or more semantic tasks.



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