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IDN-Sum: A New Dataset for Interactive Digital Narrative Extractive Text Summarisation
In this paper, we describe the first IDN dataset (IDN-Sum) designed specifically for training and testing IDN text summarization algorithms.
Do prompt positions really matter?
Prompt-based models have gathered a lot of attention from researchers due to their remarkable advancements in the fields of zero-shot and few-shot learning.
Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model
In this paper, we present a new application-focused benchmark dataset and results from a set of baseline Natural Language Processing and Machine Learning models for prediction of match outcomes for games of football (soccer).
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