228 citations · 467 across the 24 of their papers we have counts for
33 papers · 1 filter
ConNER: Consistency Training for Cross-lingual Named Entity Recognition
Ran Zhou, Xin Li, Lidong Bing +3
Cross-lingual named entity recognition (NER) suffers from data scarcity in the target languages, especially under zero-shot settings. Existing translate-train or knowledge distilla…
Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings
Sooji Han, Rui Mao, Erik Cambria
Automatic depression detection on Twitter can help individuals privately and conveniently understand their mental health status in the early stages before seeing mental health prof…
Polarity and Subjectivity Detection with Multitask Learning and BERT Embedding
Ranjan Satapathy, Shweta Pardeshi, Erik Cambria
Multitask learning often helps improve the performance of related tasks as these often have inter-dependence on each other and perform better when solved in a joint framework. In t…
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox
Lukas Stappen, Lea Schumann, Benjamin Sertolli +4
We introduce the MuSe-Toolbox - a Python-based open-source toolkit for creating a variety of continuous and discrete emotion gold standards. In a single framework, we unify a wide…
MICE: A Crosslinguistic Emotion Corpus in Malay, Indonesian, Chinese and English
Ng Bee Chin, Yosephine Susanto, Erik Cambria
MICE is a corpus of emotion words in four languages which is currently working progress. There are two sections to this study, Part I: Emotion word corpus and Part II: Emotion word…
The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress
Lukas Stappen, Alice Baird, Lukas Christ +6
Multimodal Sentiment Analysis (MuSe) 2021 is a challenge focusing on the tasks of sentiment and emotion, as well as physiological-emotion and emotion-based stress recognition throu…