Google’s new Semantic Experiences uses word vectors to search over 100,000 books for contextually related statements and points out passages that provide answers. Tech Republic brought this interesting information to our attention in their article, “Google’s new AI service will search books for answers to your burning business questions.”
This new services uses vector-based language learning to search books for contextually relevant answers to questions, all without needing to match keywords. Word vector language modeling maps synonyms, antonyms, related terms, context clues, and other natural uses of language to find relationships between statements.
Included on Semantic Experiences is a word association game called Semantris, and Talk to Books, which can crawl over 100,000 books to find amazingly contextual answers to almost any question you can think to ask. Talk to Books uses Google’s vector space language modeling, which according to Google, “enables algorithms to learn about the relationships between words, based on examples of actual language usage.”
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
