8 Result(s)
within
Chapter
LIANG YANG
Artificial Intelligence
Natural Language Processing (NLP)
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Chapter and Conference Paper
MUMOR: A Multimodal Dataset for Humor Detection in Conversations
Humor detection attracts increased attention in natural language processing for its potential applications. Prior work focus on analyzing humor on isolated, textual data, but humor usually comes from the inter...
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Chapter and Conference Paper
Metaphor Recognition and Analysis via Data Augmentation
Metaphoric expression is widespread and frequently used to convey emotions. When it comes to metaphor recognition and analysis, there are still not enough samples for these tasks. In this study, we target on r...
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Chapter and Conference Paper
Context-Aware and Data-Augmented Transformer for Interactive Argument Pair Identification
Interactive argument identification is an important research field in dialogical argumentation mining. This task aims to identify the argument pairs with the interactive relationship in the online forum. In th...
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Chapter and Conference Paper
Homographic Puns Recognition Based on Latent Semantic Structures
Homographic puns have a long history in human writing, being a common source of humor in jokes and other comedic works. It remains a difficult challenge to construct computational models to discover the latent...
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Chapter and Conference Paper
Extraction New Sentiment Words in Weibo Based on Relative Branch Entropy
There are a lot of new sentiment words appear in Weibo platform every day in the web2.0. As the unpredictable polarity of massive new words are detrimental to sentiment analysis for Weibo, hence how to extract...
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Chapter and Conference Paper
Ensemble of Neural Networks with Sentiment Words Translation for Code-Switching Emotion Detection
Emotion detection in code-switching texts aims to identify the emotion labels of text which contains more than one language. The difficulties of this task include problems in bridging the gap between languages...
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Chapter and Conference Paper
NLPCC 2017 Shared Task Social Media User Modeling Method Summary by DUTIR_923
User attribute classification plays an important role in the Internet advertising, public opinion monitoring. While the user points of interest prediction helps the online social media services creating more v...
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Chapter and Conference Paper
Construction and Application of Chinese Emotional Corpus
Text affective computing or sentiment analysis is an important research domain for natural language process, and it requires a large-scale emotion corpus, which can significantly support emotion classification...
