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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 End-to-end style-conditioned poetry generation: What does it take to learn from examples alone? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Eger, Steffen. - : Underline Science Inc., 2021 Abstract: In this work, we design an end-to-end model for poetry generation based on conditioned recurrent neural network (RNN) language models whose goal is to learn stylistic features (poem length, sentiment, alliteration, and rhyming) from examples alone. We show this model successfully learns the ‘meaning’ of length and sentiment, as we can control it to generate longer or shorter as well as more positive or more negative poems. However, the model does not grasp sound phenomena like alliter- ation and rhyming, but instead exploits low-level statistical cues. Possible reasons include the size of the training data, the relatively low frequency and difficulty of these sublexical phenomena as well as model biases. We show that more recent GPT-2 models also have problems learning sublexical phenomena such as rhyming from examples alone. ... Keyword: Computational Creativity; Computational Linguistics; Language Models; Machine Learning; Natural language generation; Natural Language Processing; Neural Network; Sentiment Analysis; Text Generation URL: https://dx.doi.org/10.48448/vbjh-jw57 https://underline.io/lecture/39414-end-to-end-style-conditioned-poetry-generation-what-does-it-take-to-learn-from-examples-alonequestion BASE Hide details 2 Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Li, Zhengyan. - : Underline Science Inc., 2021 BASE Show details 3 Adverse Drug Reaction Classification of Tweets with Fusion of Text and Drug Representations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Sakhovskiy, Andrey; Tutubalina, Elena. - : Underline Science Inc., 2021 BASE Show details

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