US 2026/0228433 A1 · INFORMATION EXTRACTION FROM DOMAIN-SPECIFIC DOCUMENTS

Abstract

Information extraction from domain-specific documents can include performing named entity recognition thereon. A regular expression tagger can tag regular expressions in the domain-specific documents without pre-annotated training sets for the regular expression tagger. Defined domain-specific terms can be augmented with terms and phrases related to the defined domain-specific terms based on rules specified for desired information about named entities to be extracted. A dictionary-based tagger can tag the defined and augmented domain-specific terms and phrases in the plurality of domain-specific documents. Conflicts of named entity recognition between the regular expression tagger and the dictionary-based tagger can be resolved. The desired information about named entities can be extracted. Classification can be performed to identify whether the domain-specific documents are related to the desired information.

Claims15

Dependent claims

A computer implemented method for information extraction from domain-specific documents, comprising:

performing named entity recognition on a plurality of domain-specific documents by:
tagging, by a regular expression tagger, regular expressions in the plurality of domain-specific documents without pre-annotated training sets for the regular expression tagger;
augmenting defined domain-specific terms with terms and phrases related to the defined domain-specific terms based on rules specified for desired information about named entities to be extracted;
tagging, by a dictionary-based tagger, the defined and augmented domain-specific terms and phrases in the plurality of domain-specific documents;
and
resolving conflicts of named entity recognition between the regular expression tagger and the dictionary-based tagger;
and
extracting the desired information about named entities.

5 more elements

A system for information extraction from domain-specific documents, comprising:

a memory storing:
a preprocessing module configured to break the domain-specific documents into words;
a named entity recognition module including:
a regular expression tagger submodule configured to tag groups of words as named entities in the domain-specific documents based on domain-specific patterns;
a dictionary-based tagger submodule configured to tag domain-specific terms and phrases as named entities in the domain-specific documents;
a dictionary augmentation submodule configured to augment the domain-specific terms in the dictionary-based tagger submodule based on specified rules;
a natural language processing (NLP) tagger submodule configured to tag named entities in the domain-specific documents;
a named entity recognition coordinator configured to resolve conflicts of named entity assignment between the regular expression tagger submodule, the dictionary-based tagger submodule, and the NLP tagger submodule;
a classification module including:
a relationship-based classifier submodule configured to apply relationships among the named entities to classify the domain-specific documents;
an NLP classifier submodule configured to classify the domain-specific documents based on characteristic vocabularies in the domain-specific documents;
and
a classification coordinator submodule configured to resolve conflicts of classification between the relationship-based classifier submodule and the NLP classifier submodule;
and
a processor coupled to the memory and configured to execute the modules and submodules stored in the memory.

12 more elements

Dependencies are inferred from the claim text.

Information extraction from domain-specific documents

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Information extraction from domain-specific documents

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Abstract

Claims15