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2. Semantic Scholar - Wikipedia

   en.wikipedia.org/wiki/Semantic_Scholar

   November 2, 2015; 8 years ago. ( 2015-11-02) [ 1] Semantic Scholar is a research tool for scientific literature powered by artificial intelligence. It is developed at the Allen Institute for AI and was publicly released in November 2015. [ 2] Semantic Scholar uses modern techniques in natural language processing to support the research process ...

3. List of academic databases and search engines - Wikipedia

   en.wikipedia.org/wiki/List_of_academic_databases...

   The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is available.

4. Speech recognition - Wikipedia

   en.wikipedia.org/wiki/Speech_recognition

   Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition ( ASR ), computer speech recognition or speech-to-text ( STT ).

5. Why this photographer prefers to be called a ‘visual activist’

   www.aol.com/why-photographer-prefers-called...

   Between them, the work on display ranges from Muholi’s best-known photographs to their new bronze sculptures. Yet Muholi doesn’t refer to themself as an artist; instead they prefer the term ...

6. Broadcom's 10-for-1 Stock Split Is Imminent: 10 Things You ...

   www.aol.com/broadcoms-10-1-stock-split-090600698...

   Here are 10 things you need to know about Broadcom's imminent stock split. 1. Broadcom is (sort of) making history. On June 12, when Broadcom released its fiscal second-quarter operating results ...

7. Word2vec - Wikipedia

   en.wikipedia.org/wiki/Word2vec

   e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...