Text-to-vectorized representation transformation
AssigneeInternational Business Machines Corporation
InventorsChao-Min Chang, Kuei-Ching Lee, Ci-Hao Wu, Chia-Heng Lin
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AssigneeInternational Business Machines Corporation
InventorsChao-Min Chang, Kuei-Ching Lee, Ci-Hao Wu, Chia-Heng Lin
Estimating the term…
An approach for a fast and accurate word embedding model, “desc2vec,” for out-of-dictionary (OOD) words with a model learning from the dictionary descriptions of the word is disclosed. The approach includes determining that a target text element is not in a set of reference text elements, information describing the target text element is obtained. The information comprises a set of descriptive text elements. A set of vectorized representations for the set of descriptive text elements is determined. A target vectorized representation for the target text element is determined based on the set of vectorized representations using a machine learning model. The machine learning model is trained to represent a predetermined association between the set of vectorized representations for the set of descriptive text elements describing the target text element and the target vectorized representation.
A computer-implemented method comprising:
A computer system comprising:
A computer program product comprising:
Dependencies are inferred from the claim text.