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Zipf’s law states that the frequency of word tokens in a large corpus of natural language is inversely proportional to the rank. The law is investigated for two languages English …...

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Improving Language Model Size Reduction using Better Pruning Criteria

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Reducing language model (LM) size is a critical issue when applying a LM to realistic applications which have memory constraints. In this paper, three measures are studied for the purpose …...

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Factorization is the operation of transforming a production in a Linear Context-Free Rewrit- ing System (LCFRS) into two simpler produc- tions by factoring out a subset of the nontermi- nals …...

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CMUQ@Qatar:Using Rich Lexical Features for Sentiment Analysis on Twitter

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In this paper, we describe our system for the Sentiment Analysis of Twitter shared task in SemEval 2014. Our system uses an SVM classifier along with rich set of lexical …...

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AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification

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YNU-HPCC at SemEval-2018 Task 12: The Argument Reasoning Comprehension Task Using a Bi-directional LSTM with Attention Model

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AbstractAn argument is divided into two parts, the claim and the reason. To obtain a clearer conclusion, some additional explanation is required. In this task, the explanations are called warrants. …...

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