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Found 10 papers, 0 papers with code
Team IITP-AINLPML at WASSA 2022: Empathy Detection, Emotion Classification and Personality Detection
Computational comprehension and identifying emotional components in language have been critical in enhancing human-computer connection in recent years.
COMMA-DEER: COmmon-sense Aware Multimodal Multitask Approach for Detection of Emotion and Emotional Reasoning in Conversations
We present and discuss a novel task of detecting emotional reasoning (ER) and accompanying emotions in conversations.
Annotated Corpus of Tweets in English from Various Domains for Emotion Detection
We propose a Hierarchical Attention-based deep neural network for Emotion Detection (HAtED).
EM-PERSONA: EMotion-assisted Deep Neural Framework for PERSONAlity Subtyping from Suicide Notes
We address the challenging task of personality subtyping from suicide notes.
Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson's Disease
To this end, we propose an end-to-end deep learning framework based on self-supervised learning for the segmentation and quantification of dopaminergic neurons in PD animal models.
Multiclass Semantic Segmentation to Identify Anatomical Sub-Regions of Brain and Measure Neuronal Health in Parkinson's Disease
Automated segmentation of anatomical sub-regions with high precision has become a necessity to enable the quantification and characterization of cells/ tissues in histology images.
Am I No Good? Towards Detecting Perceived Burdensomeness and Thwarted Belongingness from Suicide Notes
The World Health Organization (WHO) has emphasized the importance of significantly accelerating suicide prevention efforts to fulfill the United Nations' Sustainable Development Goal (SDG) objective of 2030.
EmotionGIF-IITP-AINLPML: Ensemble-based Automated Deep Neural System for predicting category(ies) of a GIF response
In this paper, we describe the systems submitted by our IITP-AINLPML team in the shared task of SocialNLP 2020, EmotionGIF 2020, on predicting the category(ies) of a GIF response for a given unlabelled tweet.
IITP-AINLPML at SemEval-2020 Task 12: Offensive Tweet Identification and Target Categorization in a Multitask Environment
In this paper, we describe the participation of IITP-AINLPML team in the SemEval-2020 SharedTask 12 on Offensive Language Identification and Target Categorization in English Twitter data.
CEASE, a Corpus of Emotion Annotated Suicide notes in English
In this paper, we create a fine-grained emotion annotated corpus (CEASE) of suicide notes in English and develop various deep learning models to perform emotion detection on the curated dataset.
