Summary of Towards More Accurate Prediction Of Human Empathy and Emotion in Text and Multi-turn Conversations by Combining Advanced Nlp, Transformers-based Networks, and Linguistic Methodologies, By Manisha Singh et al.
Towards More Accurate Prediction of Human Empathy and Emotion in Text and Multi-turn Conversations by Combining Advanced NLP, Transformers-based Networks, and Linguistic Methodologies
by Manisha Singh, Divy Sharma, Alonso Ma, Nora Goldfine
First submitted to arxiv on: 26 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this paper, researchers developed a neural network model to predict empathy levels and emotions expressed in essays. They used sentence-level embeddings as features and experimented with four different embedding models. The model was refined through three revisions, including enhancements to the architecture and training approach, handling class imbalance, and leveraging lexical resources. The final end-to-end system combined multiple models for improved performance. Additionally, the researchers applied their approaches to a new shared task on empathy emotion and personality detection in interactions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps us better understand people’s emotions and feelings by using computers to read and analyze essays. They created a special kind of computer program that can look at how words are used in sentences to figure out how much someone cares about what happened (empathy) or how they’re feeling (emotion). The team tried different ways to make the program better, like adjusting its training and using more information from dictionaries. Their final system is good at predicting emotions and could be useful for understanding people’s feelings in conversations. |
Keywords
» Artificial intelligence » Embedding » Neural network
