Method for mathematical language processing via tree embeddings

dc.contributor.assigneeRice Universityen_US
dc.contributor.assigneeUniversity of Massachusettsen_US
dc.contributor.publisherUnited States Patent and Trademark Officeen_US
dc.creatorWang, Zichaoen_US
dc.creatorLan, Shitingen_US
dc.creatorBaraniuk, Richard G.en_US
dc.date.accessioned2024-12-09T17:26:04Zen_US
dc.date.available2024-12-09T17:26:04Zen_US
dc.date.filed2023-04-21en_US
dc.date.issued2024-11-19en_US
dc.description.abstractA method for processing formulae includes encoding a formula by: training, with a server, a model by using a machine learning algorithm with a data set that includes a plurality of formulae; transforming, with a processor, a first formula into a tree format using the trained model; converting, with the processor, the tree format of the first formula into a plurality of lists; and encoding, with the processor, the plurality of lists into a fixed dimension vector by leveraging a stacked attention module; and generating one or more formula candidates by: obtaining, with the processor, input information; and generating, with the processor, one or more second formula candidates based on input information by using the stacked attention module with a tree beam search algorithm.en_US
dc.digitization.specificationsThis patent information was downloaded from the US Patent and Trademark website (http://www.uspto.gov/) as image-PDFs. The PDFs were OCRed for access purposes.en_US
dc.format.extent20en_US
dc.identifier.patentIDUS12147407B2en_US
dc.identifier.urihttps://hdl.handle.net/1911/118066en_US
dc.language.isoengen_US
dc.titleMethod for mathematical language processing via tree embeddingsen_US
dc.typeUtility patenten_US
dc.type.dcmiTexten_US
dc.type.genrepatentsen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
US12147407B2.pdf
Size:
420.41 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.7 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections