Demonstration - Pulgar Squad

import sys
import spacy
import numpy as np
from spacy import displacy
from model.model_supervised import ModelSupervised

def loadEmbeddings(path, encoding = "utf-8", ofset=None):
    print("Reading embeddings...")
    embeddings = []
    vocabulary = {}
    own_embeddings_append = embeddings.append
    if ofset is not None:
        for i in range(ofset):
            own_embeddings_append([])

    with open(path, "r", encoding=encoding) as emb_file:
        own_strip = str.strip
        own_str_partition = str.partition

        emb_file.readline()
        for line in emb_file:
            fields = own_str_partition(line, " ")
            word = own_strip(fields[0])
            emb_values = np.array([float(x) for x in own_strip(fields[-1]).split(" ")])
            vocabulary[word] = len(embeddings)
            own_embeddings_append(emb_values)
            
    return embeddings, vocabulary

embeddings = loadEmbeddings("../../data/embeddings/crawl-300d-2M.vec")

Reading embeddings...

We load our model PulgarNERC.

pulgar_nlp = spacy.load("../../data/model_1sentence_newjson/")

/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/spacy/util.py:275: UserWarning: [W031] Model 'en_ner_model_ugr' (2.2.5) requires spaCy v2.2 and is incompatible with the current spaCy version (2.3.2). This may lead to unexpected results or runtime errors. To resolve this, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate
  warnings.warn(warn_msg)

We demonstrate the behaviour of our model in two selected testing sentences:

Example texts:

• Text 1: The FP Commander will identify the physical protection requirements for inclusion in the Infrastructure Development Plan (IDP), with specialist advice and planning provided by Military Engineers.
• Text 2: Since a COMAO needs thorough planning and considerable planning time, the Air Request (AIRREQ) is not used to request such a bulk mission.
• Text 3: Once approved by the NAC, the list becomes the Joint Prioritized Defended Assets List (JPDAL), which is sent back to the COM JFC and onward to the JDAWG, which, in turn, sends it to the AMDC AMD Planners to develop the Joint Air Defence Plan for the Operation.

text_1 = "The FP Commander will identify the physical protection requirements for inclusion in the Infrastructure Development Plan (IDP), with specialist advice and planning provided by Military Engineers."

processed_text_1 = pulgar_nlp(text_1)
print(processed_text_1.ents)
displacy.render(processed_text_1, style="ent", jupyter = "True")

(Infrastructure Development Plan,)

The FP Commander will identify the physical protection requirements for inclusion in the Infrastructure Development Plan PRODUCT (IDP), with specialist advice and planning provided by Military Engineers.

text_2 = "Since a COMAO needs thorough planning and considerable planning time, the Air Request (AIRREQ) is not used to request such a bulk mission."

processed_text_2 = pulgar_nlp(text_2)
print(processed_text_2.ents)
displacy.render(processed_text_2, style="ent", jupyter = "True")

(Air Request,)

Since a COMAO needs thorough planning and considerable planning time, the Air Request PRODUCT (AIRREQ) is not used to request such a bulk mission.

text_3 = "Once approved by the NAC, the list becomes the Joint Prioritized Defended Assets List (JPDAL), which is sent back to the COM JFC and onward to the JDAWG, which, in turn, sends it to the AMDC AMD Planners to develop the Joint Air Defence Plan for the Operation."

processed_text_3 = pulgar_nlp(text_3)
print(processed_text_3.ents)
displacy.render(processed_text_3, style="ent", jupyter = "True")

(Prioritized Defended Assets List,)

Once approved by the NAC, the list becomes the Joint Prioritized Defended Assets List PRODUCT (JPDAL), which is sent back to the COM JFC and onward to the JDAWG, which, in turn, sends it to the AMDC AMD Planners to develop the Joint Air Defence Plan for the Operation.