strubell

import numpy as np
import matplotlib.pyplot as plt


def plot(n):
  # x = np.random.rand(n)
  x = np.random.normal(size=n)**2

  y = np.arange(0., 5., 0.01)

strubell

import tensorflow as tf
import numpy as np

predicates_in_batch = 2
seq_len = 3
vn_labels = 4
d = 5

np.random.seed(5)
tf.set_random_seed(5)

strubell

from __future__ import print_function
import re

conll12_fname = "/home/strubell/research/data/conll-2012-new/conll2012-train.txt"
# conll12_fname = "/home/strubell/research/data/conll05st-release/train-set.gz.parse.sdeps.combined.bio"
semlink_fname = "/home/strubell/research/data/semlink-1.2.2c/semlink-wsj.txt"

remove_list = ['rel', 'LINK-SLC', 'LINK-PSV', 'LINK-PRO']

arg_re = re.compile(r"(ARG[0-5A])-[A-Za-z]+")

strubell

from __future__ import division
from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
import os
from matplotlib import rc

# rc('font',**{'family':'serif', 'serif':['Times']})
# rc('text', usetex=True)

strubell

with open(os.devnull, 'w') as devnull:
  try:
    srl_eval = check_output(["perl", "bin/srl-eval.pl", srl_gold_fname, srl_preds_fname], stderr=devnull)
    print(srl_eval)
    overall_f1 = float(srl_eval.split('\n')[6].split()[-1])
    correct['F1'] = overall_f1
  except CalledProcessError as e:
    print("Call to eval failed: %s" % e.output)

  with open(os.devnull, 'w') as devnull:

strubell

if self.conll:
  vocab_files = [(self.word_file, 1, 'Words'),
                 (self.tag_file, [3, 4], 'Tags'),
                 (self.rel_file, 7, 'Rels')]
elif self.conll2012:
  vocab_files = [(self.word_file, 3, 'Words'),
                 (self.tag_file, [5, 4], 'Tags'), # auto, gold
                 (self.rel_file, 7, 'Rels'),
                 (self.srl_file, range(14, 50), 'SRLs'),
                 (self.trig_file, [10, 4] if self.joint_pos_predicates else 10, 'Trigs'),

strubell

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import numpy as np
import tensorflow as tf

def gather_scatter_example():
  batch_size = 2
  seq_len = 5

strubell

\begin{block}{Example action graph}

\begin{columns}[t,totalwidth=\textwidth]
  \column{\textwidth}
  % \vspace*{-0.7cm}
  % \begin{block}{Experimental results}
  \begin{columns}[t,totalwidth=\textwidth]
  \column{.52\textwidth}
    \vspace{-1.75cm}
     \begin{tcolorbox}[colback=white,colframe=dblue!70,title=Typical synthesis procedure text,left skip=1cm]

strubell

from __future__ import division
from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
import os
import string
import operator


def sorted_mean(l):

strubell

from __future__ import division
from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
import os
import string
import operator


def sorted_mean(l):