Researchers combine artificial intelligence, crowdsourcing and supercomputers to develop better, and more reasoned, information extraction and classification methods WordNet is a lexical database for the English language.

It groups English words into sets of synonyms called synsets, provides short definitions and usage examples, and records a number of relations among these synonym sets or their members. Researchers from The University of Texas at Austin developed a method to incorporate information from WordNet into informational retrieval systems.  How do search engines generate lists of relevant links? The outcome is the result of two powerful forces in the evolution of information retrieval: artificial intelligenceArtificial Intelligence knows many different definitions, but in general it can be defined as a machine completing complex tasks intelligently, meaning that it mirrors human intelligence and evolves with time. — especially — and crowdsourcing.

Determine Relationships between Words

Computer algorithmsAn algorithm is a fixed set of instructions for a computer. It can be very simple like "as long as the incoming number is smaller than 10, print "Hello World!". It can also be very complicated such as the algorithms behind self-driving cars. interpret the relationship between the words we type and the vast number of possible web pages based on the frequency of linguistic connections in the billions of texts on which the system has been trained. But that is not the only source of information. The semantic relationships get strengthened by professional annotators who hand-tune results — and the algorithms that generate them — for topics of importance, and by web searchers (us) who, in our clicks, tell the algorithms which connections are the best ones.

Understanding Language

Despite the incredible, world-changing success of this model, it has its flaws. Search engine results are often not as “smart” as we’d like them to be, lacking a true understanding of language and human logic. Beyond that, they sometimes replicate and deepen the biases embedded in our searches, rather than bringing us new information or insight. Matthew Lease, an associate professor in the School of Information at The University of Texas at Austin (UT Austin), believes there may be better ways to harness the dual power of computers and to create more intelligent information retrieval (IR) systems. […]

  1. SwissCognitive

    The Future of Search Engines

    #Education
    #Artificial_Intelligence #Crowd_Sourcing #Deep_Learning #NLP
    https://t.co/3txcK28PQH

  2. Dalith Steiger

    The Future of Search Engines

    #Education
    #Artificial_Intelligence #Crowd_Sourcing #Deep_Learning #NLP
    https://t.co/M5vSbHLzkf

  3. David Sloly

    The Future of Search Engines https://t.co/lHAgyXgs5W via @SwissCognitive

  4. Ian M Calvert

    RT @DalithSteiger: The Future of Search Engines

    #Education
    #Artificial_Intelligence #Crowd_Sourcing #Deep_Learning #NLP
    https://t.co/M5vSb…

  5. Andy Fitze

    The Future of Search Engines

    #Education
    #Artificial_Intelligence #Crowd_Sourcing #Deep_Learning #NLP
    https://t.co/MAEPSXp2gh

  6. datapeer

    RT @andy_fitze: The Future of Search Engines

    #Education
    #Artificial_Intelligence #Crowd_Sourcing #Deep_Learning #NLP
    https://t.co/MAEPSXp2…

  7. Anna Kopytko

    RT @andy_fitze: The Future of Search Engines

    #Education
    #Artificial_Intelligence #Crowd_Sourcing #Deep_Learning #NLP
    https://t.co/MAEPSXp2…

  8. scottbot_17

    RT @andy_fitze: The Future of Search Engines

    #Education
    #Artificial_Intelligence #Crowd_Sourcing #Deep_Learning #NLP
    https://t.co/MAEPSXp2…

  9. Morteza Namazi

    RT @andy_fitze: The Future of Search Engines

    #Education
    #Artificial_Intelligence #Crowd_Sourcing #Deep_Learning #NLP
    https://t.co/MAEPSXp2…

  10. NeuralPresidentPL

    RT @andy_fitze: The Future of Search Engines

    #Education
    #Artificial_Intelligence #Crowd_Sourcing #Deep_Learning #NLP
    https://t.co/MAEPSXp2…

  11. NLP Stories

    RT @andy_fitze: The Future of Search Engines

    #Education
    #Artificial_Intelligence #Crowd_Sourcing #Deep_Learning #NLP
    https://t.co/MAEPSXp2…

  12. filipposcorza

    RT @andy_fitze: The Future of Search Engines

    #Education
    #Artificial_Intelligence #Crowd_Sourcing #Deep_Learning #NLP
    https://t.co/MAEPSXp2…

  13. Diana Garcia

    RT @andy_fitze: The Future of Search Engines

    #Education
    #Artificial_Intelligence #Crowd_Sourcing #Deep_Learning #NLP
    https://t.co/MAEPSXp2…

  14. Rox Kulliye

    @Andy Thank you FF. The key is “combining AI with the insights of annotators and the information encode… https://t.co/KGJApJal0i

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