Prakhar0409

Neural Question Generation for Reading Comprehension

Link to the paper

The paper can be found here

Goal of the paper

Automatic question generation for sentexces from passages in reading comprehension

chssch

# This small script shows how to use AllenNLP Semantic Role Labeling (http://allennlp.org/) with SpaCy 2.0 (http://spacy.io) components and extensions
# Script installs allennlp default model
# Important: Install allennlp form source and replace the spacy requirement with spacy-nightly in the requirements.txt
# Developed for SpaCy 2.0.0a18

from allennlp.commands import DEFAULT_MODELS
from allennlp.common.file_utils import cached_path
from allennlp.service.predictors import SemanticRoleLabelerPredictor
from allennlp.models.archival import load_archive

0x4D31

Transforming Code into Beautiful, Idiomatic Python

Notes from Raymond Hettinger's talk at pycon US 2013 video, slides.

The code examples and direct quotes are all from Raymond's talk. I've reproduced them here for my own edification and the hopes that others will find them as handy as I have!

Looping over a range of numbers

for i in [0, 1, 2, 3, 4, 5]:

Tushar-N

import torch
import torch.nn as nn
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

seqs = ['gigantic_string','tiny_str','medium_str']

# make <pad> idx 0
vocab = ['<pad>'] + sorted(set(''.join(seqs)))

# make model

kastnerkyle

# Author: Kyle Kastner
# License: BSD 3-Clause
# See core implementations here http://geekyisawesome.blogspot.ca/2016/10/using-beam-search-to-generate-most.html
# Also includes a reduction of the post by Yoav Goldberg to a script
# markov_lm.py
# https://gist.github.com/yoavg/d76121dfde2618422139

# These datasets can be a lot of fun...
#
# https://github.com/frnsys/texts

nlothian

Taken from https://web.archive.org/web/20130517134339/http://bulba.sdsu.edu/jeanette/thesis/PennTags.html (since the source document now appears to be offline)

Penn Treebank II Tags

Note: This information comes from "Bracketing Guidelines for Treebank II Style Penn Treebank Project" - part of the documentation that comes with the Penn Treebank.

Contents:

Bracket Labels
Clause Level