def visualize(sentences, classifications, options, exampleBuilder):
print >> sys.stderr, "Making visualization"
classificationsByExample = {}
for classification in classifications:
classificationsByExample[classification[0][0]] = classification
visualizer = CorpusVisualizer(options.visualization, True)
visualizer.featureSet = exampleBuilder.featureSet
visualizer.classSet = exampleBuilder.classSet
for i in range(len(sentences)):
sentence = sentences[i]
print >> sys.stderr, "\rProcessing sentence", sentence[
0].getSentenceId(), " ",
prevAndNextId = [None, None]
if i > 0:
prevAndNextId[0] = sentences[i - 1][0].getSentenceId()
if i < len(sentences) - 1:
prevAndNextId[1] = sentences[i + 1][0].getSentenceId()
visualizer.makeSentencePage(sentence[0], sentence[1],
classificationsByExample, prevAndNextId)
visualizer.makeSentenceListPage()
print >> sys.stderr
def visualize(sentences, classifications, options, exampleBuilder):
print >> sys.stderr, "Making visualization"
classificationsByExample = {}
for classification in classifications:
classificationsByExample[classification[0][0]] = classification
visualizer = CorpusVisualizer(options.visualization, True)
visualizer.featureSet = exampleBuilder.featureSet
visualizer.classSet = exampleBuilder.classSet
for i in range(len(sentences)):
sentence = sentences[i]
print >> sys.stderr, "\rProcessing sentence", sentence[0].getSentenceId(), " ",
prevAndNextId = [None,None]
if i > 0:
prevAndNextId[0] = sentences[i-1][0].getSentenceId()
if i < len(sentences)-1:
prevAndNextId[1] = sentences[i+1][0].getSentenceId()
visualizer.makeSentencePage(sentence[0],sentence[1],classificationsByExample,prevAndNextId)
visualizer.makeSentenceListPage()
print >> sys.stderr
optparser.add_option("-p", "--parse", default="split-Charniak-Lease", dest="parse", help="parse")
(options, args) = optparser.parse_args()
corpusElements = loadCorpus(options.input, options.parse, options.tokenization)
sentences = []
for sentence in corpusElements.sentences:
#print "ent", len(sentence.entities)
#print "int", len(sentence.interactions)
sentences.append( [sentence.sentenceGraph,None] )
goldElements = None
if options.gold != None:
print >> sys.stderr, "Loading Gold Standard Corpus"
goldElements = loadCorpus(options.gold, options.parse, options.tokenization)
print >> sys.stderr, "Visualizing"
visualizer = CorpusVisualizer(options.output, True)
for i in range(len(sentences)):
sentence = sentences[i]
print >> sys.stderr, "\rProcessing sentence", sentence[0].getSentenceId(), " ",
prevAndNextId = [None,None]
if i > 0:
prevAndNextId[0] = sentences[i-1][0].getSentenceId()
if i < len(sentences)-1:
prevAndNextId[1] = sentences[i+1][0].getSentenceId()
if goldElements != None:
visualizer.makeSentencePage(sentence[0],sentence[1],None,prevAndNextId,goldElements.sentencesById[sentence[0].getSentenceId()].sentenceGraph)
else:
visualizer.makeSentencePage(sentence[0],sentence[1],None,prevAndNextId)
visualizer.makeSentenceListPage()
print >> sys.stderr
(options, args) = optparser.parse_args()
corpusElements = loadCorpus(options.input, options.parse, options.tokenization)
sentences = []
for sentence in corpusElements.sentences:
#print "ent", len(sentence.entities)
#print "int", len(sentence.interactions)
sentences.append( [sentence.sentenceGraph,None] )
goldElements = None
if options.gold != None:
print >> sys.stderr, "Loading Gold Standard Corpus"
goldElements = loadCorpus(options.gold, options.parse, options.tokenization)
print >> sys.stderr, "Visualizing"
visualizer = CorpusVisualizer(options.output, True)
for i in range(len(sentences)):
sentence = sentences[i]
if sentence[0] != None:
print >> sys.stderr, "\rProcessing sentence", sentence[0].getSentenceId(), " ",
else:
continue
prevAndNextId = [None,None]
if i > 0 and sentences[i-1][0] != None:
prevAndNextId[0] = sentences[i-1][0].getSentenceId()
if i < len(sentences)-1 and sentences[i+1][0] != None:
prevAndNextId[1] = sentences[i+1][0].getSentenceId()
if goldElements != None:
visualizer.makeSentencePage(sentence[0],sentence[1],None,prevAndNextId,goldElements.sentencesById[sentence[0].getSentenceId()].sentenceGraph)
else:
visualizer.makeSentencePage(sentence[0],sentence[1],None,prevAndNextId)
