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Summariz3 개발기
1.
자동으로
2.
세줄
3.
요약을
4.
해드립니다
5.
Summariz3
6.
개발기 PyCon
7.
APAC
8.
2016
9.
Lightning
10.
Talk
11.
Jamie
12.
Seol
13.
SNU
14.
IDS
15.
Lab.
16.
my
17.
love,
18.
django!
19.
summariz3.herokuapp.com
20.
파이콘
21.
성명서 [5]
22.
헉 [6]
23.
허억 [8] [9]
24.
사실
25.
낡은
26.
알고리즘이고
27.
비슷한게
28.
이미
29.
많이
30.
있습니다 [1]
31.
TextRank • just
32.
PageRank!
33.
• a
34.
sentence
35.
gains
36.
more
37.
rank
38.
if
39.
important
40.
sentence
41.
refers
42.
• refers?
43.
• hypothesis:
44.
sentences
45.
sharing
46.
nouns
47.
refers
48.
each
49.
other [7]
50.
논문 [4]
51.
Future
52.
works • improve
53.
textrank
54.
(change
55.
edge
56.
weight
57.
function)
58.
• neural
59.
network
60.
based
61.
summarization?
62.
[2, 3]
63.
Textrankr • detailed
64.
explanation:
65.
on
66.
my
67.
blog
68.
(blog.theeluwin.kr)
69.
• source
70.
code:
71.
github.com/theeluwin/textrankr
72.
• PR
73.
please!
74.
• you
75.
can
76.
use
77.
it
78.
right
79.
now
80.
via
81.
PyPI pip install textrankr
—— from textrankr import TextRank textrank = TextRank(your_text_here) print(textrank.summarize())
82.
References 1. Mihalcea, Rada,
and Paul Tarau. “TextRank: Bringing order into texts.” Association for Computational Linguistics, 2004. 2. Kaikhah, Khosrow. “Automatic text summarization with neural networks.” (2004). 3. Svore, Krysta Marie, Lucy Vanderwende, and Christopher JC Burges. “Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources.” EMNLP-CoNLL. 2007. 4. Bahdanau, Dzmitry, Kyunghyun Cho, and Yoshua Bengio. “Neural machine translation by jointly learning to align and translate.” arXiv preprint arXiv: 1409.0473 (2014). 5. https://www.pycon.kr/2016apac/ 6. https://namu.wiki/w/%EB%8F%8C%EB%A1%9C%EB%A0%88%EC%8A %A4%20%EC%97%84%EB%B8%8C%EB%A6%BF%EC%A7%80 7. http://blog.theeluwin.kr/post/146188165713/summariz3 8. http://sports.khan.co.kr/news/sk_index.html?art_id=201606221136003sec_id=562901 9. http://www.insight.co.kr/newsRead.php?ArtNo=65634
83.
Thank you! follow me
at twitter! @theeluwin