Question-Answering Model for Schizophrenia Symptoms and Their Impact on Daily Life using Mental Health Forums Data (https://arxiv.org/abs/2310.00448)
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May 17, 2024 - Python
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question-answering-model
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Kurtis is a fine-tuning, inference and evaluation tool built for SLMs (Small Language Models), such as Huggingface's SmolLM2.
machine-learning
ai
ml
transformers
question-answering
mental-health
mental-health-awareness
slms
huggingface-transformers
llm
llm-training
llm-inference
small-language-models
huggingface-peft
question-answering-model
smollm
smollm2
huggingface-smollm2
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Nov 11, 2024 - Python
Extracting Emotion-Cause Pairs from Conversations: A Two-Step Approach Using Emotion Classification and QA Models
natural-language-processing
text-classification
bert
emotion-detection
emotion-recognition
conversational-analysis
roberta
nlp-pipeline
gpt2
spanbert
sentence-transformers
emotion-cause-pair-extraction
gpt4
semeval-2024
question-answering-model
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Jul 19, 2024 - Jupyter Notebook
This repository implements a question-answering system using Gradio's lower-level API, featuring two input fields for context and user questions. The system utilizes the deepset/roberta-base-squad2 model and provides a user-friendly interface for model interaction.
machine-learning
natural-language-processing
question-answering
roberta-model
question-answering-model
roberta-base-squad2-model
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Updated
Mar 9, 2024 - Jupyter Notebook
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