Update app.py

app.py

@@ -84,7 +84,7 @@ class NounExtractor:
             deps_in_phrase = {list_dep_labels[tok.i] for tok in current}
 
             # Merge logic based on 'phrases connectors' construction
-            if i + 1 < len(noun_phrases) and (doc[current.end].text in ['of', 'in', 'among', 'on', 'towards', 'to', 'for']):
+            if i + 1 < len(noun_phrases) and (doc[current.end].text in ['of', 'in', 'among', 'on', 'towards', 'to', 'for', 'across']):
                 next_phrase = noun_phrases[i + 1]
                 if i + 2 < len(noun_phrases) and doc[next_phrase.end].dep_ == 'pcomp':
                     extended_phrase = doc[current.start:noun_phrases[i + 2].end]
@@ -198,7 +198,8 @@ extractor = NounExtractor(nlp=nlp)
 
 # Example of how to use this function
 # words_list = ["so", "because", "contribute", "due to", "therefore", "as"]
-causative_verb = ['affect', 'influence', 'increase', 'against', 'bring', 'lead', 'result', 'cause', 'is to', 'was to', 'are to', "were to", 'contribute', 'make', 'attribute', 'provoke']
+causative_verb = ['affect', 'influence', 'increase', 'against', 'bring', 'lead', 'result', 'cause', 'is to', 'was to', 
+                  'are to', "were to", 'contribute', 'make', 'attribute', 'provoke', 'spark']
 
 # Define the callback function for the GUI
 def CogMapAnalysis(text):