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Found 5 papers, 2 papers with code
MASON-NLP at eRisk 2023: Deep Learning-Based Detection of Depression Symptoms from Social Media Texts
With this in mind, the eRisk 2023 Task 1 was designed to do exactly that: assess the relevance of different sentences to the symptoms of depression as outlined in the BDI questionnaire.
Intent Detection and Slot Filling for Home Assistants: Dataset and Analysis for Bangla and Sylheti
As voice assistants cement their place in our technologically advanced society, there remains a need to cater to the diverse linguistic landscape, including colloquial forms of low-resource languages.
To token or not to token: A Comparative Study of Text Representations for Cross-Lingual Transfer
To understand the downstream implications of text representation choices, we perform a comparative analysis on language models having diverse text representation modalities including 2 segmentation-based models (\texttt{BERT}, \texttt{mBERT}), 1 image-based model (\texttt{PIXEL}), and 1 character-level model (\texttt{CANINE}).
Extending the Frontier of ChatGPT: Code Generation and Debugging
Large-scale language models (LLMs) have emerged as a groundbreaking innovation in the realm of question-answering and conversational agents.
Predicting User-specific Future Activities using LSTM-based Multi-label Classification
User-specific future activity prediction in the healthcare domain based on previous activities can drastically improve the services provided by the nurses.
