8000 README · orazaro/stanford-corenlp-python@6d5c766 · GitHub
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‎README.md

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@@ -61,10 +61,10 @@ To use it in a regular script or to edit/debug it (because errors via RPC are op
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I added a function called `parse_imperative` that introduces a dummy pronoun to overcome the problems that dependency parsers have with **imperative sentences**, dealing with only one at a time.
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corenlp.parse("stop smoking")
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>> [{"text": "stop smoking", "tuples": [["nn", "smoking", "stop"]], "words": [["stop", {"NamedEntityTag": "O", "CharacterOffsetEnd": "4", "Lemma": "stop", "PartOfSpeech": "NN", "CharacterOffsetBegin": "0"}], ["smoking", {"NamedEntityTag": "O", "CharacterOffsetEnd": "12", "Lemma": "smoking", "PartOfSpeech": "NN", "CharacterOffsetBegin": "5"}]]}]
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>> [{"text": "stop smoking", "tuples": [["nn", "smoking", "stop"]], "words": [["stop", {"NamedEntityTag": "O", "CharacterOffsetEnd": 4, "Lemma": "stop", "PartOfSpeech": "NN", "CharacterOffsetBegin": 0}], ["smoking", {"NamedEntityTag": "O", "CharacterOffsetEnd": 12, "Lemma": "smoking", "PartOfSpeech": "NN", "CharacterOffsetBegin": 5}]]}]
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corenlp.parse_imperative("stop smoking")
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>> [{"text": "stop smoking", "tuples": [["xcomp", "stop", "smoking"]], "words": [["stop", {"NamedEntityTag": "O", "CharacterOffsetEnd": "8", "Lemma": "stop", "PartOfSpeech": "VBP", "CharacterOffsetBegin": "4"}], ["smoking", {"NamedEntityTag": "O", "CharacterOffsetEnd": "16", "Lemma": "smoke", "PartOfSpeech": "VBG", "CharacterOffsetBegin": "9"}]]}]
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>> [{"text": "stop smoking", "tuples": [["xcomp", "stop", "smoking"]], "words": [["stop", {"NamedEntityTag": "O", "CharacterOffsetEnd": 8, "Lemma": "stop", "PartOfSpeech": "VBP", "CharacterOffsetBegin": 4}], ["smoking", {"NamedEntityTag": "O", "CharacterOffsetEnd": 16, "Lemma": "smoke", "PartOfSpeech": "VBG", "CharacterOffsetBegin": 9}]]}]
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Only with the dummy pronoun does the parser correctly identify the first word, *stop*, to be a verb.
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<!--
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## Adding WordNet
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Note: wordnet doesn't seem to be supported using this approach. Looks like you'll need Java.
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Download WordNet-3.0 Prolog: http://wordnetcode.princeton.edu/3.0/WNprolog-3.0.tar.gz
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tar xvfz WNprolog-3.0.tar.gz
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-->
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## Questions

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