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What would Jiminy Cricket do?
What would Jiminy Cricket do?: A pluralist approach in generating and processing morally-aligned text
Natural Language Processing and Reinforcement Learning to Generate Morally Aligned Text
Natural Language Processing and Reinforcement Learning to Generate Morally Aligned Text: Comparing a moral agent to an optimally playing agent
Balancing multidimensional morality and progression
Balancing multidimensional morality and progression: Evaluating the tradeoff for artificial agents playing text-based games
Natural Language Processing and Tabular Data sets in Federated Continual Learning
Natural Language Processing and Tabular Data sets in Federated Continual Learning: A usability study of FCL in domains beyond Image classification
A Comparison of Instance Attribution Methods
A Comparison of Instance Attribution Methods: Comparing Instance Attribution Methods to Baseline k-Nearest Neighbors Method
Obtaining Query-specific Similar Concepts with BERT-based retrieval for Commonsense Knowledge Gameboard
Obtaining Query-specific Similar Concepts with BERT-based retrieval for Commonsense Knowledge Gameboard
Evaluation of natural language processing embeddings in protein function prediction for bacteria
Evaluation of natural language processing embeddings in protein function prediction for bacteria
Evaluating catastrophic forgetting of state-of-the-art NLP models for predicting moral values
Evaluating catastrophic forgetting of state-of-the-art NLP models for predicting moral values
Evaluating interpretability of state-of-the-art NLP models for predicting moral values
Evaluating interpretability of state-of-the-art NLP models for predicting moral values
Moral Embeddings: A closer look at their Performance, Generalizability and Transferability
Moral Embeddings: A closer look at their Performance, Generalizability and Transferability
Estimating the transferability of state-of-the-art models in predicting moral values
Estimating the transferability of state-of-the-art models in predicting moral values
Active Learning To Reduce Human Labeling For Automatic Psychological Text Classification
Active Learning To Reduce Human Labeling For Automatic Psychological Text Classification
Preparing Stance Detection: Feature Extraction Methods and Their Performance Used for Feature-Based Machine Learning Algorithms
Preparing Stance Detection: Feature Extraction Methods and Their Performance Used for Feature-Based Machine Learning Algorithms
Automatic schema classification for Schema-Focused Therapy using k-Nearest Neighbour
Automatic schema classification for Schema-Focused Therapy using k-Nearest Neighbour
Extracting location context from transcripts
Extracting location context from transcripts: a comparison of ELMo and TF-IDF
Using Skip-Gram Model to Predict from which Show a Given Line is
Using Skip-Gram Model to Predict from which Show a Given Line is
Correspondence Between Perplexity Scores and Human Evaluation of Generated TV-Show Scripts
Correspondence Between Perplexity Scores and Human Evaluation of Generated TV-Show Scripts
Who said that? Comparing performance of TF-IDF and fastText to identify authorship of short sentences
Who said that? Comparing performance of TF-IDF and fastText to identify authorship of short sentences
Is Wikipedia succeeding in reducing gender bias?
Is Wikipedia succeeding in reducing gender bias?: Assessing the development of gender bias in word embeddings from Wikipedia
Gender bias in word embeddings of different languages
Gender bias in word embeddings of different languages
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