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This paper is mainly about the BIT group submitted system to the IALP-2016 Shared Task. This system is to automatically acquire the valence-arousal ratings of Chinese affective words. Two ways are designed to generate a given word's VA: one is based on Synonym Lexicons and the other is based on Word Embeddings. For the first way, we extend the annotated set based on synonym lexicon to improve coverage...
More and more linguistic information has been employed to improve the performance of machine translation, such as part of speech, syntactic structures, discourse contexts, and so on. However, conventional approaches typically ignore the key information beyond the text such as prosody. In this paper, we exploit and employ three prosodic features: pronunciation (phonetic alphabet and tone), prosodic...
The problem of “rich topics get richer” (RTGR) is popular to the topic models, which will bring the wrong topic distribution if the distributing process has not been intervened. In standard LDA (Latent Dirichlet Allocation) model, each word in all the documents has the same statistical ability. In fact, the words have different impact towards different topics. Under the guidance of this thought, we...
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