Online forums are highly popular among web users due to the possibility they offer them of obtaining relevant answers to the questions they raise.
However! to achieve that relevance! the question has to be first understood! whichever words are used to formulate it. Yet in their semantic analyses! most search engines rely mainly on the words used in the question rather than on its meaning. In fact! they will not see the equivalence between two phrasings that are similar in automate responses with whatsapp chatbots terms but are different because of the words they use. One example might be the related questions “How do I get someone to look after the children?”
Where can I find a baby-sitter?”
Delphine Charlet and Géraldine Damnati! research engineers at Orange Labs and language experts! are part of the Deskin team (it means “to learn” in Breton) and are deeply interested in this subject area. After starting out analysing speech so as to recognize words or speakers! they are today mistrust of brands! user activity in social networks and the results of the year the semantics of natural language. In 2017! they came first in resolving a task set at SemEval! an international semantics competition.
Delphine explains: “Semantics signifies the meaning of texts. Historically! automatic european union email list language processing (NLP) has largely relied on expert knowledge developed by linguists and lexicographers. For example! they would list “Automobile” and “Car” as synonyms and identify “Ford Model T” as a make of car. Today! datasets like these exist for many languages ! But not for all languages and not in all application areas! because the process is long and difficult as it requires human supervision.”
Other technologies have now emerged
Deep Learning! where it is possible to infer knowledge bases on massive text corpora without necessarily relying on a database that has already been annotated by a human.