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A language learning system that pays attention — more efficiently than ever before


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Image: Jose-Luis Olivares, MIT
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Human language can be inefficient. Some words are vital. Others, expendable.
Reread the first sentence of this story. Just two words, “language” and “inefficient,” convey almost the entire meaning of the sentence. The importance of key words underlies a popular new tool for natural language processing (NLP) by computers: the attention mechanism. When coded into a broader NLP algorithm, the attention mechanism homes in on key words rather than treating every word with equal importance. That yields better results in NLP tasks like detecting positive or negative sentiment or predicting which words should come next in a sentence. ....

South Korea , Hanrui Wang , Zhekai Zhang , International Symposium On High , Department Of Electrical Engineering , High Performance Computer , Electrical Engineering , Assistant Professor Song , Hardware Aware Transformer , Natural Language Processing , Song Han , Efficient Nlp , தெற்கு கொரியா , சர்வதேச சிம்போசியம் ஆன் உயர் , துறை ஆஃப் மின் பொறியியல் , உயர் செயல்திறன் கணினி , மின் பொறியியல் , உதவியாளர் ப்ரொஃபெஸர் பாடல் , வன்பொருள் விழிப்புணர்வு மின்மாற்றி , இயற்கை மொழி ப்ரோஸெஸிஂக் , பாடல் ஹான் , திறமையான ந்ல்ப் ,