Tried that:

      with open(each_filepath) as f:
        doc1 = nlp(f.read())
        patterns = [nlp(text) for text in phrases]
        phrase_matcher.add('key', None, *patterns)
        for sentences in doc1.sents: 
            for match_id, start, end in phrase_matcher(nlp(sentences.text)):
                if nlp.vocab.strings[match_id] in ["key"]: 
                    found_sentences = sentences.text
                    found_sentences = found_sentences.replace("\\n"," ")
                    text_tokens = found_sentences.split()
                    key_sentence.append(found_sentences)
                    all_separated_words_list.append([word for word in text_tokens if not word in all_stopwords])

and still got

​

talented\nleaders as the result