International business machines corporation (20240135099). PART OF SPEECH TAGGING WITH CONTEXT SENTENCES simplified abstract

PART OF SPEECH TAGGING WITH CONTEXT SENTENCES

Organization Name

international business machines corporation

Inventor(s)

Masayasu Muraoka of Tokyo (JP)

Dolca Tellols Asensi of Castelló (ES)

Issei Yoshida of Tokyo (JP)

PART OF SPEECH TAGGING WITH CONTEXT SENTENCES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240135099 titled 'PART OF SPEECH TAGGING WITH CONTEXT SENTENCES

Simplified Explanation

The abstract describes a computer technology for determining and tagging parts of speech in a text, using natural language processing logic that considers both the words in the sentence under analysis and words in other sentences.

• Explanation of the patent/innovation:

 * The technology utilizes natural language processing software to analyze the context of a given word in a sentence and determine its part of speech.
 * It considers not only the immediate sentence but also other sentences in the text to provide accurate tagging.
 * Context sentences may be selected randomly or based on proximity to the sentence under analysis, enhancing the accuracy of the tagging process.

Potential Applications

This technology can be applied in various fields such as:

• Text analysis and summarization
• Machine translation
• Sentiment analysis
• Information retrieval

Problems Solved

• Improves accuracy in part of speech tagging
• Enhances the performance of natural language processing systems
• Facilitates more precise language understanding in AI applications

Benefits

• Increased efficiency in text analysis
• Improved accuracy in language processing tasks
• Enhanced performance of AI systems

Potential Commercial Applications

• Development of advanced NLP software for various industries
• Integration into existing AI systems for improved language processing capabilities
• Creation of tools for text analysis and information extraction

Possible Prior Art

There are existing technologies for part of speech tagging in natural language processing systems, but the specific approach of considering context from other sentences for tagging may be a novel aspect of this technology.

How does this technology handle ambiguous words in a sentence?

The technology may use additional contextual clues from surrounding sentences to disambiguate the part of speech of a word.

Can this technology be applied to multiple languages?

Yes, the underlying natural language processing logic can be adapted to work with different languages, allowing for multilingual applications.

Original Abstract Submitted

computer technology for determining and tagging parts of speech in a text (that is pos ragging), where the context used by the natural language processing machine logic (for example, nlp software) includes both: (i) other words in the sentence under analysis where a given word to be tagged appears; and (ii) words in the other sentences besides the sentence under analysis. other context sentences may be selected randomly, by next sentence prediction technology and/or by choosing sentences in textual proximity to the sentence under analysis.