Bernd Herzogenrath, ed. Film as Philosophy by Hilaria Loyo

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A ANALISIS SENTIMEN PARA KANDIDAT PILPRES 2024 DENGAN MODEL BAHASA BERT by LUIS RICARDO PANDIANGAN, IGN LANANG WIJAYAKUSUMA

“…This research also generated keywords for each sentiment towards candidates from BERT’s validation data predictions. This study contributes insights into the narratives and sentiments surrounding the 2024 presidential election.…”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…Moreover, the proposed model has the best prediction effect on the "attack method" entity category, whose F1-score is 0.927 5. …”
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ABioNER: A BERT-Based Model for Arabic Biomedical Named-Entity Recognition by Nada Boudjellal, Huaping Zhang, Asif Khan, Arshad Ahmad, Rashid Naseem, Jianyun Shang, Lin Dai

“…The model performance was compared with two state-of-the-art models (namely, AraBERT and multilingual BERT cased), and it outperformed both models with 85% F1-score.…”
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QUERY2BERT: Combining Knowledge Graph and Language Model for Reasoning on Logical Queries by Truong H. V. Phan, Phuc do

Subjects: “…BERT…”
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Japanese Short Answer Grading for Japanese Language Learners Using the Contextual Representation of BERT by Dyah Lalita Luhurkinanti, Prima Dewi Purnamasari, Takashi Tsunakawa, Anak Agung Putri Ratna

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Karakteristik Kasus Kekerasan Seksual di Rumah Sakit Tipe A di Jawa Barat dan Sumatera Barat by Noverika Windasari

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Hubungan Kadar LDL dan HDL Serum Ibu Hamil Aterm dengan Berat Lahir Bayi by Oktalia Sabrida, Hariadi ., Eny Yantri

“…Rerata kadar HDL serum ibu hamil aterm 53,32±17,39 mg/dl dengan 13 sampel (41,90%) kadar HDL <48 mg/dl. Rerata berat lahir bayi 3150,00±489,89 gram dengan 2 sampel (6,50%) memiliki bayi dengan berat<2500 gram. …”
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Pengaruh Grit terhadap Self-Determination pada Atlet yang Memutuskan Kembali Pasca Cedera Berat by Azzah Ambarani Hidayat, Afif Kurniawan

“…Partisipan dalam penelitian ini merupakan atlet yang memutuskan kembali pasca cedera berat. Metode yang digunakan dalam penelitian ini merupakan kuantitatif eksplanatori. …”
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BERITA KRIMINAL DAN PERHATIAN ORANG TUA by Syafruddin Ritonga

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Perilaku Keberagamaan Masyarakat Sunda Jawa Barat by Deni Miharja

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Study on the Optimization of Aeration Scheme for a Spillway by SHI Die, LI Guodong, HE Cuiling, LI Pengfeng

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Faith in the modern Reformed church: Calvin and Barth

“… Calvin and Barth are arguably the main exponents of two notable soteriological camps in the Reformed world nowadays and their soteriology has wide and sometimes unarticulated impacts on Reformed doctrine and praxis. …”
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Taming the Beast: Bullying and Censorship in Interlingual Subtitling by Hussein Abu-Rayyash, Said M. Shiyab

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Leveraging Multilingual Transformer for Multiclass Sentiment Analysis in Code-Mixed Data of Low-Resource Languages by Muhammad Kashif Nazir, Cm Nadeem Faisal, Muhammad Asif Habib, Haseeb Ahmad

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Optimizing Aspect-Based Sentiment Analysis Using BERT for Comprehensive Analysis of Indonesian Student Feedback by Ahmad Jazuli, Widowati, Retno Kusumaningrum

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Tackling misinformation in mobile social networks a BERT-LSTM approach for enhancing digital literacy by Jun Wang, Xiulai Wang, Airong Yu

“…Extensive evaluations revealed that the BERT-LSTM model achieved an accuracy of 93.51%, a recall of 91.96%, and an F1 score of 92.73% in identifying misinformation. …”
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Advancing Computational Humor: LLaMa-3 Based Generation with DistilBert Evaluation Framework by He Jinliang, Mei Aohan

“…The study developed a comprehensive dataset sourced from diverse online platforms, supplemented by non-humorous content from scientific literature and press conferences to enhance the model's discriminative capabilities. Utilizing DistilBERT for efficient evaluation, the fine-tuned LLaMA-3 achieved an impressive accuracy of 95.6% and an F1-score of 97.75%, surpassing larger models such as GPT-4o, and Gemini. …”
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A BERT-BiGRU-CRF Model for Entity Recognition of Chinese Electronic Medical Records by Qiuli Qin, Shuang Zhao, Chunmei Liu

“…The BERT layer first converts the electronic medical record text into a low-dimensional vector, then uses this vector as the input to the BiGRU layer to capture contextual features, and finally uses conditional random fields (CRFs) to capture the dependency between adjacent tags. …”
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Analisis Perbandingan Model Bert Dan Xlnet Untuk Klasifikasi Tweet Bully Pada Twitter by Teuku Radillah, Okta Veza, Sarjon Defit

“…Penelitian ini bertujuan untuk membandingkan performa dua model pemrosesan bahasa alami terbaru, yaitu BERT (Bidirectional Encoder Representations from Transformers) dan XLNet, dalam klasifikasi tweet yang mengandung bullying. …”
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