The present invention relates to an improved artificial neural network for predicting one or
more next items in a sequence of items based on an input sequence item. The artificial …

Techniques are provided for performing sentiment analysis on words in a first data set. An
example embodiment includes generating a word embedding model including a first …

A whole sentence recurrent neural network (RNN) language model (LM) is provided for for
estimating a probability of likelihood of each whole sentence processed by natural language …

Systems and methods for automatic information retrieval from imaged documents. Deep
network architectures retrieve information from imaged documents using a neu ronal visual …

Techniques are described for generating metric (s) that predict survey score (s) for a service
session. Model (s) may be trained, through supervised or unsupervised machine learning …

(57) ABSTRACT A method, apparatus and device are for extracting informa tion. The method
includes: acquiring an annotated corpus, which includes a plurality of sample sentences and …

A method is described comprising receiving a conversational transcript of a conversational
interaction among a plurality of participants, wherein each participant contributes a …

An electronic apparatus for compressing a language model is provided, the electronic
apparatus including a storage configured to store a language model which includes an …

A computer selects a test set of sentences from among sentences applied to train a whole
sentence recurrent neural network language model to estimate the probability of likelihood …

A computer-implemented process includes obtaining a natu ral-language-text document
comprising a first and second clause and determining first and second embedding …