1/3/2024 0 Comments Meld definition synonyms![]() ![]() popularity (float): The entity's popularity value. Args: entity (str): A normalized entity name. sys_types = gaz_data def _update_entity ( self, entity, popularity, keep_max = True ): """ Updates all gazetteer data with an entity and its popularity. ![]() def load ( self, gaz_path ): """Loads the gazetteer from disk Args: gaz_path (str): The location on disk where the gazetteer is stored """ gaz_data = joblib. text_preparation_pipeline = text_preparation_pipeline exclude_ngrams (bool): The boolean flat whether to exclude ngrams """ self. index (dict): A dictionary containing the inverted index, which maps terms and n-grams to the set of documents which contain them entities (list): A list of all entities sys_types (set): The set of nested numeric types for this entity """ def _init_ ( self, name, text_preparation_pipeline, exclude_ngrams = False ): """ Args: domain (str): The domain that this gazetteer is used text_preparation_pipeline (TextPreparationPipeline): Pipeline for tokenization and normalization of text. If there are more than one entity with the same name, the popularity is the maximum value across all duplicate entities. Attributes: entity_count (int): Total entities in the file pop_dict (dict): A dictionary containing the entity name as a key and the popularity score as the value. class Gazetteer : """ This class holds the following fields, which are extracted and exported to file. Step-by-Step Guide to Active Learning with Log Data in MindMeld.Working with the Text Preparation Pipeline.Working with the Knowledge Base and Question Answerer.Working with the Natural Language Processor.Step 9: Optimize Question Answering Performance.Step 7: Train the Natural Language Processing Classifiers.Step 6: Generate Representative Training Data. ![]() Step 4: Define the Dialogue State Handlers.Step 3: Define the Domain, Intent, Entity, and Role Hierarchy.Step 2: Script Your Ideal Dialogue Interactions.Building a Conversational Interface in 10 Steps.Anatomy of a Conversational AI Interaction.Different Approaches for Building Conversational Applications.Introduction to Conversational Applications. ![]()
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