Search Results for author:
Found 13 papers, 1 papers with code
Transformer-based Architecture for Empathy Prediction and Emotion Classification
This paper describes the contribution of team PHG to the WASSA 2022 shared task on Empathy Prediction and Emotion Classification.
IITR CodeBusters at SemEval-2022 Task 5: Misogyny Identification using Transformers
This paper presents our submission to task 5 ( Multimedia Automatic Misogyny Identification) of the SemEval 2022 competition.
High, Medium or Low? Detecting Intensity Variation Among polar synonyms in WordNet
For fine-grained sentiment analysis, we need to go beyond zero-one polarity and find a way to compare adjectives (synonyms) that share the same sense.
Leveraging Dependency Grammar for Fine-Grained Offensive Language Detection using Graph Convolutional Networks
The last few years have witnessed an exponential rise in the propagation of offensive text on social media.
NLPIITR at SemEval-2021 Task 6: RoBERTa Model with Data Augmentation for Persuasion Techniques Detection
This paper describes and examines different systems to address Task 6 of SemEval-2021: Detection of Persuasion Techniques In Texts And Images, Subtask 1.
Team\_KGP at SemEval-2021 Task 7: A Deep Neural System to Detect Humor and Offense with Their Ratings in the Text Data
This paper describes the system submitted to SemEval-2021 Task-7 for all four subtasks.
Identifying Transferable Information Across Domains for Cross-domain Sentiment Classification
In this paper, we propose that words that do not change their polarity and significance represent the transferable (usable) information across domains for cross-domain sentiment classification.
Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word Embeddings
Identification of intensity ordering among polar (positive or negative) words which have the same semantics can lead to a fine-grained sentiment analysis.
