biblical_names2.py

def names_recall(nlp: spacy.lang.en.English, names: List[str], template: str):
    """
    Run the spaCy NLP model on the template + name, 
    calculate recall for detecting the "PERSON" entity 
    and return a detailed list of detection
    :param nlp: spaCy nlp model
    :param names: list of names to run model on
    :param template: sentence with placeholder for name (e.g. "He calls himself {}")
    """
    results = {}
    for name in names:
        doc = nlp(template.format(name))
        name_token = [token for token in doc if token.text == name][0]
        results[name] = name_token.ent_type_ == "PERSON"
    recall = sum(results.values()) / len(results)
    print(f"Recall: {recall:.2f}\n")
    return results