New Frontiers Beyond Context Freeness: Di Grammars and Di Automata

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The proposed system has four main components: 1 a Form 10-K risk- sentiment dataset, consisting of a set of risk- labeled financial sentences and pre-trained sen- tence embeddings; 2

The current authors included randomized controlled trails RCTs focused on the efficacy and safety of acupuncture in women who were undergoing pregnancy or postpartum period and

Using the re- solved entity mentions we detect relationship sig- nals between entities and characterize the signal type Section 3.. In addition, we perform targeted sentiment and

VEMV is essentially a multi-metric evaluation tool that uses three tokenised text files source, ref- erence, and hypothesis as input parameters and scores the hypothesis translation MT

To confirm the association between aggrecan VNTR polymor- phism and IDD, we performed a case-control study for the association of the above gene polymorphisms with risk of IDD in

where x represents a sample from the real data dis- tribution pd and z is a noise vector sampled from the distribution pz, typically a random normal dis- tribution, which serves as the

We searched the EBSCO, PubMed, Springer, Ovid, Wiley, CNKI, VIP, Wanfang, Google schol- ar, and Cochrane Library databases updated to March, 2016 for studies in which the perioperative

We demonstrate a prototype implementation of a convolutional neural network for sentence classi- fication, applied to sentiment analysis—the model of Kim 2014—in JavaScript, running

Our VnCoreNLP supports key natural language processing NLP tasks including word segmentation, part-of-speech POS tagging, named entity recognition NER and dependency parsing, and

Effec- tiveness and safety of selected bone marrow stem cells on left ventricular function in pa- tients with acute myocardial infarction: a meta- analysis of randomized controlled