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Recognizing Emotion Cause in Conversations
Recognizing the cause behind emotions in text is a fundamental yet under...
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NLP-CIC @ PRELEARN: Mastering prerequisites relations, from handcrafted features to embeddings
We present our systems and findings for the prerequisite relation learni...
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NLP-CIC @ DIACR-Ita: POS and Neighbor Based Distributional Models for Lexical Semantic Change in Diachronic Italian Corpora
We present our systems and findings on unsupervised lexical semantic cha...
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COSMIC: COmmonSense knowledge for eMotion Identification in Conversations
In this paper, we address the task of utterance level emotion recognitio...
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MIME: MIMicking Emotions for Empathetic Response Generation
Current approaches to empathetic response generation view the set of emo...
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NLP-CIC at SemEval-2020 Task 9: Analysing sentiment in code-switching language using a simple deep-learning classifier
Code-switching is a phenomenon in which two or more languages are used i...
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Improving Aspect-Level Sentiment Analysis with Aspect Extraction
Aspect-based sentiment analysis (ABSA), a popular research area in NLP h...
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DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
Emotion recognition in conversation (ERC) has received much attention, l...
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Variational Fusion for Multimodal Sentiment Analysis
Multimodal fusion is considered a key step in multimodal tasks such as s...
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Recent Trends in Deep Learning Based Personality Detection
In the recent times, automatic detection of human personality traits has...
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Sentiment and Sarcasm Classification with Multitask Learning
Sentiment classification and sarcasm detection are both important NLP ta...
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DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
Emotion detection in conversations is a necessary step for a number of a...
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Multimodal Sentiment Analysis: Addressing Key Issues and Setting up Baselines
Sentiment analysis is proven to be very useful tool in many applications...
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