'Word embeddings' diaporamas de présentation

Tutorial on neural probabilistic language models

Tutorial on neural probabilistic language models. Piotr Mirowski , Microsoft Bing London South England NLP Meetup @ UCL April 30, 2014. Ackowledgements. AT&T Labs Research Srinivas Bangalore Suhrid Balakrishnan Sumit Chopra (now at Facebook) New York University

996 views • 98 slides

Representation Learning for Word, Sense, Phrase, Document and Knowledge

Representation Learning for Word, Sense, Phrase, Document and Knowledge. Natural Language Processing Lab , Tsinghua University Yu Zhao , Xinxiong Chen, Yankai Lin, Yang Liu Zhiyuan Liu , Maosong Sun. Contributors. Yankai Lin. Yu Zhao. Xinxiong Chen. Yang Liu.

786 views • 59 slides

Deep Learning for Natural Language Processing

Deep Learning for Natural Language Processing. Topics. Word embeddings Recurrent neural networks Long-short-term memory networks Neural machine translation Automatically generating image captions. Word meaning in NLP. How do we capture meaning and context of words?

952 views • 56 slides

Morphological Smoothing and Extrapolation of Word Embeddings

832 views • 43 slides

Dependency-Based Word Embeddings

399 views • 39 slides

373 views • 37 slides

Natural language processing

Natural language processing. Rohit Apte (Rohit@rohitapte.com) www.rohitapte.com. Natural Language Processing. A way for computers to analyze language in a useful way Perform tasks (make appointments, buy things) Language Translation Question Answering

293 views • 29 slides

Seminar Topics and Projects

227 views • 22 slides