Changes between Version 1 and Version 2 of en/WillComputerUnderstand

Timestamp:

Jun 6, 2014, 12:51:43 PM (10 years ago)

Author:

xkocinc

Comment:

--

en/WillComputerUnderstand

@@ -1 +1 @@
 = Will Computers Ever Understand Us? =
+
+[[Image(/trac/research/raw-attachment/wiki/en/WillComputerUnderstand/turing.png)]]
+
+== Computer “understanding”: Use cases ==
+
+ * inappropriate discussion posts detection
+ * text summarization
+ * opinion mining
+ * content targeting
+ * question answering
+
+
+== Inappropriate discussion posts detection ==
+
+That BOY aint done growing and fcuking so she would be stooopid to tie HERSELF down wit a BABY and a tattoo is just as worse!!!
+
+=>
+
+That BOY aint done growing and '''fcuking''' so she would be '''stooopid''' to tie HERSELF down wit a BABY and a tattoo is just as worse!!!
+
+[[Image(/trac/research/raw-attachment/wiki/en/WillComputerUnderstand/fcuking.png, align=right)]]
+
+'''Use case:''' discussion forum, automatic detection of inappropriate posts 
+
+'''Common solution:''' word list
+
+'''But:''' users use concealed words that are difficult to detect (f*king, f.u.c.k, f..k, fcuking)
+
+'''Better solution:''' word list + concealing rules
+
+'''But:''' users invent new words and concealing patterns
+
+'''Even better solution:''' word list + automatically generated thesaurus + concealing rules + metarules
+
+
+
+== Text summarization ==
+
+[[Image(/trac/research/raw-attachment/wiki/en/WillComputerUnderstand/text_sum.png)]]
+
+A decade ago a girl spent money for ringtones.
+
+
+'''Use case:''' automatic abstract generation, multiple document digest, are these documents stating similar or opposite arguments?
+
+'''Naive solution:''' take every first sentence in a paragraph 
+
+'''Common solution:''' take every sentence containing a keyword
+
+'''But:''' not really scalable, difficult to detect the main message
+
+'''Better approach:'''
+ 1. analyse text on several levels
+   * whole document (sections, paragraphs, consistency)
+   * sequence of sentences (each having a structure)
+   * bag of words and keywords (in different forms, synonyms, abbreviations etc.)
+ 1. generate a summary
+
+
+== Opinion mining ==
+
+The ''iPhone 5'' price was predictably high and continues to be so, so consumers will need to bear that in mind too when looking for their next smartphone.
+
+...
+
+Well, all of those picking up the iPhone 5 will have the same reaction: this thing is amazingly light. You’ve probably heard the
+numbers by now (20 per cent lighter than the predecessor, as well as beating most of the opposition too at 112g.)
+
+
+=> 
+
+
+The ''iPhone 5'' '''price''' was predictably '''high''' and continues to be so, so consumers will need to bear that in mind too when looking for their next smartphone.
+
+...
+
+Well, all of those picking up the '''iPhone 5''' will have the same reaction: this thing is '''amazingly light'''. You’ve probably heard the numbers by now ('''20 per cent lighter''' than the predecessor, as well as beating most of the opposition too at 112g.)
+
+
+[[Image(/trac/research/raw-attachment/wiki/en/WillComputerUnderstand/okko.png)]]
+
+
+'''Use case:''' what are people thinking about a particular product/company/idea X?
+
+'''Solution:''' search X, find evaluative words 
+
+'''But:''' opinions are expressed by non-evaluative words
+
+'''Better solution:'''
+ * extract useful attributes of X (noise, weight, price, appearance)
+ * generate thesauri of evaluative words: thin iPhone 5 × thin tasteless burger
+
+
+== Question answering ==
+
+Do you have a bike for a 4-year-old girl?
+'''Search results for “bike”, “girl”'''
+
+...
+
+---
+
+Do you have a bike for a 4-year-old girl?
+
+'''If she is under 110 cm tall I will recommend Maggie, Princess or Misty. If she is taller I would recommend Miss B or Kellie. If she does not insist on bike for girls I would also recommend Racer or Mr. Lightning. How tall is she?'''
+
+About 105 cm.
+
+'''Do you have some other constraints?'''
+
+I look for something cheaper.
+
+'''Then I would recommend Princess. It is a popular bike.'''
+
+---
+
+'''Use case:''' chatbot providing basic support
+
+'''Solution:''' patterns, keyword detection, searching 
+
+'''But:''' no real dialogue, no real answers, just searching
+
+'''Better solution:''' sentence structure analysis, keyword detection, coreference resolution, dialogue strategy
+
+[[Image(/trac/research/raw-attachment/wiki/en/WillComputerUnderstand/bike.png)]]
+
+
+== Conclusions: Understanding of ''understanding'' ==
+
+Is this real understanding?
+
+Probably not.
+
+We do not know what understanding is but we know how it looks like when someone understands.
+
+Computer programs that can discover a vulgar text, summarize a text, recognize someone’s feelings or answer questions
+look like they understand our language...