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Computational Approach To Recognizing Wordplay In Jokes Julia M. Taylor & Lawrence J. Mazlack Applied Artificial Intelligence Laboratory University of Cincinnati
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Subclass of Humor: Joke ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],“ Is the doctor home?” the patient asked in his bronchial whisper. “No,” the doctor’s young and pretty wife whispered in reply.   “Come right in.”
Computational Humor ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Wordplay Jokes ,[object Object],[object Object],[object Object],[object Object],[object Object],Nurse: I need to get your weight today. Impatient patient: Three hours and twelve minutes. weight = wait
Statistical Language Recognition N-grams ,[object Object],[object Object],[object Object],A newspaper reporter goes around the world with his investigation. He stops people on the street and asks them: “Excuse me, what   is  your   opinion of the meat shortage?” An American asks: “What   is  ‘shortage’ ?”   A Russian asks: “What   is  ‘opinion’ ?” A Pole asks: “What   is  ‘meat’ ?” A New York taxi-driver asks: “What   is  ‘excuse   me’?” The Parisian Little Moritz   is  asked   in school: “How many deciliters are there in a liter of milk?” He replies: “One deciliter of milk and nine deciliters of water.” – In France, this   is  a   good joke; in Hungary, this   is  a   good milk.
Possible Methods for Joke Recognition ,[object Object],[object Object],[object Object],[object Object],[object Object]
Restricted Domain:  Knock Knock Jokes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Restricted Domain:  Knock Knock Jokes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Script-based Semantic Theory of Humor ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Scripts overlap in phonetics representation of  water  and  what are Scripts differ in meaning
Experimental Design ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Experimental Design ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Experimental Design ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Experimental Design ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Segment of similarity table
Experimental Design ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Step 1: Joke Format Validation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Step 2: Generation of Wordplay Sequences ,[object Object],[object Object],[object Object],[object Object],[object Object],Segment of similarity table
Step 2: Generation of Wordplay Sequences mater 4.44 rater 4.42 whater 4.23 water 5.0 .23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
Step 2: Generation of Wordplay Sequences mater 4.44 rater 4.42 whater 4.23 weter 4.23 woter 4.23 wader 4.39 water 5.0 .23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
Step 2: Generation of Wordplay Sequences mater 4.44 rater 4.42 wader 4.39 weter 4.23 woter 4.23 whater 4.23 wather 4.32 wazer 4.17 water 5.0 .23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
Step 2 :Generation of Wordplay Sequences mater 4.44 rater 4.42 wader 4.39 weter 4.23 woter 4.23 whater 4.23 wather 4.32 wazer 4.17 watar 4.23 watir 4.23 wator 4.23 watem 4.44 water 5.0 .23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
Step 2: Generation of Wordplay Sequences mater 4.44 rater 4.42 wader 4.39 weter 4.23 woter 4.23 watem 4.44 wather 4.32 wazer 4.17 watar 4.23 watir 4.23 wator 4.23 whater 4.23 water 5.0 .23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
Step 2: Generation of Wordplay Sequences mater 4.44 rater 4.42 watem 4.44 weter 4.23 woter 4.23 wader 4.39 wather 4.32 wazer 4.17 watar 4.23 watir 4.23 wator 4.23 whater 4.23 watere 4.23 water 5.0 .23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
Step 2: Generation of Wordplay Sequences mater 4.44 rater 4.42 watem 4.44 weter 4.23 woter 4.23 wader 4.39 wather 4.32 wazer 4.17 watar 4.23 watir 4.23 wator 4.23 whater 4.23 watere 4.23 .23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
Step 2: Generation of Wordplay Sequences watem 4.44 rater 4.42 wader 4.39 weter 4.23 woter 4.23 watere 4.23 wather 4.32 wazer 4.17 watar 4.23 watir 4.23 wator 4.23 whater 4.23 mater 4.44 meter 3.67 moter 3.67 .23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
Step 2: Generation of Wordplay Sequences whator 3.46 *** *** *** *** ,[object Object],[object Object],[object Object],.23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
Step 3: Wordplay Validation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Step 2: Generation of Wordplay Sequences whatare 2.69 *** *** *** *** ,[object Object],[object Object],[object Object],.23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
Step 3: Wordplay Validation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Step 4: Last Sentence Validation with Wordplay ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Step 4: Last Sentence Validation with Wordplay ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Step 4: Last Sentence Validation with Wordplay ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Step 4: Last Sentence Validation with Wordplay ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Possible Enhancements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusion ,[object Object],[object Object],[object Object],[object Object]

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ISHS04

  • 1. Computational Approach To Recognizing Wordplay In Jokes Julia M. Taylor & Lawrence J. Mazlack Applied Artificial Intelligence Laboratory University of Cincinnati
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  • 18. Step 2: Generation of Wordplay Sequences mater 4.44 rater 4.42 whater 4.23 water 5.0 .23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
  • 19. Step 2: Generation of Wordplay Sequences mater 4.44 rater 4.42 whater 4.23 weter 4.23 woter 4.23 wader 4.39 water 5.0 .23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
  • 20. Step 2: Generation of Wordplay Sequences mater 4.44 rater 4.42 wader 4.39 weter 4.23 woter 4.23 whater 4.23 wather 4.32 wazer 4.17 water 5.0 .23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
  • 21. Step 2 :Generation of Wordplay Sequences mater 4.44 rater 4.42 wader 4.39 weter 4.23 woter 4.23 whater 4.23 wather 4.32 wazer 4.17 watar 4.23 watir 4.23 wator 4.23 watem 4.44 water 5.0 .23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
  • 22. Step 2: Generation of Wordplay Sequences mater 4.44 rater 4.42 wader 4.39 weter 4.23 woter 4.23 watem 4.44 wather 4.32 wazer 4.17 watar 4.23 watir 4.23 wator 4.23 whater 4.23 water 5.0 .23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
  • 23. Step 2: Generation of Wordplay Sequences mater 4.44 rater 4.42 watem 4.44 weter 4.23 woter 4.23 wader 4.39 wather 4.32 wazer 4.17 watar 4.23 watir 4.23 wator 4.23 whater 4.23 watere 4.23 water 5.0 .23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
  • 24. Step 2: Generation of Wordplay Sequences mater 4.44 rater 4.42 watem 4.44 weter 4.23 woter 4.23 wader 4.39 wather 4.32 wazer 4.17 watar 4.23 watir 4.23 wator 4.23 whater 4.23 watere 4.23 .23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
  • 25. Step 2: Generation of Wordplay Sequences watem 4.44 rater 4.42 wader 4.39 weter 4.23 woter 4.23 watere 4.23 wather 4.32 wazer 4.17 watar 4.23 watir 4.23 wator 4.23 whater 4.23 mater 4.44 meter 3.67 moter 3.67 .23 wh w .42 r w .44 m w .17 z t .32 th t .39 d t .23 re r .44 m r .56 r l .11 sh k .23 e en .23 o e .23 i e .23 a e .23 o a .23 e a
  • 26.
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  • 36.