17543127. EXTRACTING QUERY-RELATED TEMPORAL INFORMATION FROM UNSTRUCTURED TEXT DOCUMENTS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
EXTRACTING QUERY-RELATED TEMPORAL INFORMATION FROM UNSTRUCTURED TEXT DOCUMENTS
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Hima Prasad Karanam of Bangalore (IN)
Shajith Ikbal Mohamed of Chennai (IN)
Sumit Neelam of Bangalore (IN)
Santosh Srivastava of New Delhi (IN)
L. Venkata Subramaniam of New Delhi (IN)
EXTRACTING QUERY-RELATED TEMPORAL INFORMATION FROM UNSTRUCTURED TEXT DOCUMENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17543127 titled 'EXTRACTING QUERY-RELATED TEMPORAL INFORMATION FROM UNSTRUCTURED TEXT DOCUMENTS
Simplified Explanation
The abstract describes a method, system, and computer program for extracting temporal information from unstructured text documents in response to user queries. The method involves converting the user query into logic form representations, mapping these representations to the unstructured text data, extracting temporal information based on the mapping, generating a response to the user query using the extracted temporal information, and performing automated actions based on the response.
- The technology extracts temporal information from unstructured text documents in response to user queries.
- It converts user queries into logic form representations.
- It maps the logic form representations to the unstructured text data.
- It extracts query-specific temporal information from the text data.
- It generates responses to the user queries based on the extracted temporal information.
- It performs automated actions based on the generated responses.
Potential Applications
This technology has potential applications in various fields, including:
- Information retrieval systems
- Question-answering systems
- Natural language processing applications
- Data analysis and research
- Personal assistants and chatbots
Problems Solved
This technology solves several problems related to extracting temporal information from unstructured text documents:
- Manual extraction of temporal information is time-consuming and error-prone.
- Unstructured text data often contains a vast amount of information, making it difficult to extract relevant temporal information.
- User queries with temporal components require a systematic approach to extract accurate temporal information.
- Automated extraction of temporal information allows for faster and more efficient analysis of text data.
Benefits
The use of this technology offers several benefits:
- Improved accuracy in extracting temporal information from unstructured text documents.
- Time-saving by automating the extraction process.
- Enhanced user experience by generating responses specific to the temporal aspects of the query.
- Increased efficiency in performing automated actions based on the extracted temporal information.
Original Abstract Submitted
Methods, systems, and computer program products for extracting query-related temporal information from unstructured text documents are provided herein. A computer-implemented method includes obtaining at least one user query comprising one or more temporal components; converting at least a portion of the at least one user query into one or more logic form representations; mapping at least a portion of the one or more logic form representations to one or more portions of at least one source of unstructured text data; extracting temporal information, specific to the at least one user query, from one or more portions of the at least one source of unstructured text data based on the mapping; generating at least one response to the at least one user query based on the extracted temporal information; and performing one or more automated actions based on the at least one generated response.
