반응형 오늘의 자연어 처리572 [2023-01-06] 오늘의 자연어처리 PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora Supervised Question Answering systems (QA systems) rely on domain-specific human-labeled data for training. Unsupervised QA systems generate their own question-answer training pairs, typically using secondary knowledge sources to achieve this outcome. Our approach (called PIE-QG) uses Open Informat.. 2023. 1. 6. [2023-01-05] 오늘의 자연어처리 Analogical Inference Enhanced Knowledge Graph Embedding Knowledge graph embedding (KGE), which maps entities and relations in a knowledge graph into continuous vector spaces, has achieved great success in predicting missing links in knowledge graphs. However, knowledge graphs often contain incomplete triples that are difficult to inductively infer by KGEs. To address this challenge, we resort to.. 2023. 1. 5. [2023-01-04] 오늘의 자연어처리 Russia-Ukraine war: Modeling and Clustering the Sentiments Trends of Various Countries With Twitter's growth and popularity, a huge number of views are shared by users on various topics, making this platform a valuable information source on various political, social, and economic issues. This paper investigates English tweets on the Russia-Ukraine war to analyze trends reflecting users' opinions.. 2023. 1. 4. [2023-01-03] 오늘의 자연어처리 Leveraging World Knowledge in Implicit Hate Speech Detection While much attention has been paid to identifying explicit hate speech, implicit hateful expressions that are disguised in coded or indirect language are pervasive and remain a major challenge for existing hate speech detection systems. This paper presents the first attempt to apply Entity Linking (EL) techniques to both explicit and i.. 2023. 1. 3. 이전 1 ··· 94 95 96 97 98 99 100 ··· 143 다음 반응형