반응형 분류 전체보기599 [2022-10-08] 오늘의 자연어처리 Detecting Narrative Elements in Informational Text Automatic extraction of narrative elements from text, combining narrative theories with computational models, has been receiving increasing attention over the last few years. Previous works have utilized the oral narrative theory by Labov and Waletzky to identify various narrative elements in personal stories texts. Instead, we direct our focus .. 2022. 10. 8. [2022-10-07] 오늘의 자연어처리 COMPS: Conceptual Minimal Pair Sentences for testing Property Knowledge and Inheritance in Pre-trained Language Models A characteristic feature of human semantic memory is its ability to not only store and retrieve the properties of concepts observed through experience, but to also facilitate the inheritance of properties (can breathe) from superordinate concepts (animal) to their subordinates (.. 2022. 10. 7. [2022-10-06] 오늘의 자연어처리 Improving Sentiment Analysis By Emotion Lexicon Approach on Vietnamese Texts The sentiment analysis task has various applications in practice. In the sentiment analysis task, words and phrases that represent positive and negative emotions are important. Finding out the words that represent the emotion from the text can improve the performance of the classification models for the sentiment analys.. 2022. 10. 6. [2022-10-06] 오늘의 자연어처리 ContraGen: Effective Contrastive Learning For Causal Language Model Despite exciting progress in large-scale language generation, the expressiveness of its representations is severely limited by the \textit{anisotropy} issue where the hidden representations are distributed into a narrow cone in the vector space. To address this issue, we present ContraGen, a novel contrastive learning framework .. 2022. 10. 6. 이전 1 ··· 120 121 122 123 124 125 126 ··· 150 다음 반응형