INNER CODE UNIT · Python

partial_info

liyucheng09/Selective_Context · app/app.py:155

                    partial_info = info/counter_
                    for _ in range(counter_):
                        unit_self_info[(current_unit_idx-1) - _].append(partial_info)
                else:
                    if token == " ":
                        continue
                    unit_self_info[current_unit_idx].append(info)
            
            unit_self_info_ = [np.mean(info) for info in unit_self_info]
            return unit_self_info_
        
        def _noun_phrases(sent):
            noun_phrases = []
            doc = self.nlp(sent)
            for index, chunk in enumerate(doc):
                if index == 0:
                    noun_phrases.append(chunk.text)
                else:

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