This intelligence is a core component of semantic search. NLP and NLU are why you can type “dresses” and find that long-sought-after “NYE Party Dress” and why you can type “Matthew ...

By introducing natural language processing (NLP) to search, Google is moving at an exponential rate toward this goal. Hummingbird is the starting signal of Google’s evolution into a semantic ...

However, semantic understanding and other machine language techniques can be useful. This evolution has paved the way for more advanced NLP techniques at the core of how search engines analyze and ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind ...

Scientists have developed a new filter with the widest tuning span ever demonstrated on a silicon chip that could help provide the low-cost flexibility needed for next generation of high-speed ...

Semantic engines are one among the plethora of alternative search options that are now ... in other words, a linguistic database where words are categorized into the various “senses” they ...

It’s better in the sense that if you can combine both semantic search, this is the deep NLP encoding of sentences that gets the context and the meaning and so on, but you can also infuse that ...

Semantic search has meaningfully impacted the usability of the web ... parties such as BA Insight for critical systems to create a single unified index. ♦ NLP platforms such as Microsoft Cognitive ...

NTENT continues to make strides in the areas of semantic search, NLP and ML to streamline the flow of global information retrieval. Earlier this year they announced the role of their powerful ...

So, while something like Elasticsearch is a well-established keyword-based search engine for enterprises, Haystack allows developers to add NLP-powered semantic search on top of it, one that ...