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[2023-01-07] 오늘의 자연어처리 Audio-Visual Efficient Conformer for Robust Speech Recognition End-to-end Automatic Speech Recognition (ASR) systems based on neural networks have seen large improvements in recent years. The availability of large scale hand-labeled datasets and sufficient computing resources made it possible to train powerful deep neural networks, reaching very low Word Error Rate (WER) on academic benchmarks. .. 2023. 1. 7.
[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.
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