Summariz3 개발기

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This document discusses text summarization techniques. It introduces TextRank, an algorithm that ranks sentences based on their importance by treating them as nodes in a graph and using a method similar to PageRank. It then describes Summariz3, a TextRank implementation, and Textrankr, an R package for TextRank summarization with a GitHub source code link provided. Finally, it lists references for further information on TextRank and other neural network approaches to summarization.

Software

https://telecombcn-dl.github.io/2017-dlsl/ Winter School on Deep Learning for Speech and Language. UPC BarcelonaTech ETSETB TelecomBCN. The aim of this course is to train students in methods of deep learning for speech and language. Recurrent Neural Networks (RNN) will be presented and analyzed in detail to understand the potential of these state of the art tools for time series processing. Engineering tips and scalability issues will be addressed to solve tasks such as machine translation, speech recognition, speech synthesis or question answering. Hands-on sessions will provide development skills so that attendees can become competent in contemporary data analytics tools.

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Summariz3 개발기

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

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