Papers with VA

3 papers
A Shoulder to Cry on: Towards A Motivational Virtual Assistant for Assuaging Mental Agony (2022.naacl-main)

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Challenge: Mental health disorders are one of the primary causes of disability worldwide . lack of qualified and competent mental health professionals is a major problem . we propose a virtual assistant that can act as the first point of contact and comfort for mental health patients.
Approach: They propose a virtual assistant that can act as the first point of contact and comfort for mental health patients.
Outcome: The proposed system outperforms baselines in the evaluation of 7k dyadic conversations from a peer-to-peer support platform.
Large Language Models are Temporal and Causal Reasoners for Video Question Answering (2023.emnlp-main)

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Challenge: Large Language Models (LLMs) have shown remarkable performances on a wide range of natural language understanding and generation tasks.
Approach: They propose a framework that exploits linguistic shortcuts and mitigates 'linguistic bias' by flipping the source pair and target label to understand their complex relationships.
Outcome: The proposed framework outperforms both LLMs-based and non-LLMs- based models on five challenging VideoQA benchmarks.
“A Buster Keaton of Linguistics”: First Automated Approaches for the Extraction of Vossian Antonomasia (D19-1)

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Challenge: Vossian Antonomasia is a stylistic device which attributes a property to a person by naming another person as a reference point.
Approach: They propose a method for the extraction of Vossian Antonomasias that works completely automatically . they use named entity recognition, distant supervision and a bi-directional LSTM .
Outcome: The proposed method outperforms the only existing semi-automatic method for VA identification by more than 30 percentage points in precision.

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