Joohong Network & Wireless Cards Driver

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Abstract: Classifying semantic relations between entity pairs in sentences is animportant task in Natural Language Processing (NLP). Most previous models forrelation classification rely on the high-level lexical and syntactic featuresobtained by NLP tools such as WordNet, dependency parser, part-of-speech (POS)tagger, and named entity recognizers (NER). In addition, state-of-the-artneural models based on attention mechanisms do not fully utilize information ofentity that may be the most crucial features for relation classification. Toaddress these issues, we propose a novel end-to-end recurrent neural modelwhich incorporates an entity-aware attention mechanism with a latent entitytyping (LET) method. Our model not only utilizes entities and their latenttypes as features effectively but also is more interpretable by visualizingattention mechanisms applied to our model and results of LET. Experimentalresults on the SemEval-2010 Task 8, one of the most popular relationclassification task, demonstrate that our model outperforms existingstate-of-the-art models without any high-level features.
  1. Joohong Network & Wireless Cards Drivers
  2. Joohong Network & Wireless Cards Drivers
  1. Wireless Card Driver free download - 802.11g Wireless Lan Driver 10.1.0.11.zip, Wireless Wizard, Driver Booster, and many more programs.
  2. Joohong Lee roomylee. Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015) Python 202 57.

Submission history

From: Joohong Lee [view email]

Feb 12 2018 Convolution Neural Network for Relation Extraction (ADMA 2013) Feb 19 2018 Relation Classification via Convolutional Deep Neural Network (COLING 2014) Feb 27 2018 Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks (COLING 2016).

[v1]Wed, 23 Jan 2019 23:19:45 UTC (1,032 KB)
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