Výsledky vyhledávání - CCS CONCEPTS• Computing methodologies→Information extraction

Literature mining for context-specific molecular relations using multimodal representations (COMMODAR) Autor Lee, Jaehyun, Lee, Doheon, Lee, Kwang Hyung

“… The construction of context-specific relational resources vastly relies on laborious manual extraction from unstructured literature…”
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HedgePeer: A Dataset for Uncertainty Detection in Peer Reviews Autor Ghosal, Tirthankar, Varanasi, Kamal Kaushik, Kordoni, Valia

“…Prague, Czech Republic Uncertainty detection from text is essential in many applications in information retrieval (IR). Detecting textual uncertainties helps…”
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Visual Descriptor Extraction from Patent Figure Captions: A Case Study of Data Efficiency Between BiLSTM and Transformer Autor Wei, Xin, Wu, Jian, Ajayi, Kehinde, Oyen, Diane

“…Technical drawings used for illustrating designs are ubiquitous in patent documents, especially design patents. Different from natural images, these drawings…”
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Privacy-Preserving Medical Advising System on Mobile Devices: On-Device PHI Anonymization, Medical Report Retrieval, and Cloud-Based RAG Autor Weerasekara, Thejan Bandara, Chandeepa, Chinthani, Amarasuriya, Oshan Sandeep, Hettiarachchi, Chathuranga

“…Ensuring the confidentiality of information and accuracy especially related to medical data is a critical challenge in the development of digital health…”
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Automated Extraction of Compliance Elements in Software Engineering Contracts Using Natural Language Generation Autor Rejithkumar, Gokul, Anish, Preethu Rose, Sonar, Pratik, Ghaisas, Smita

“… In this paper, we automate the extraction of compliance elements from SE contracts. We employed a text-to-text generation approach and conducted experiments using the T5…”
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Word Embedding based Clustering to Detect Topics in Social Media Autor Comito, Carmela, Forestiero, Agostino, Pizzuti, Clara

“…Social media are playing an increasingly important role in reporting major events happening in the world. However, detecting events and topics of interest from…”
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Accelerating COVID-19 research with graph mining and transformer-based learning Autor Tyagin, Ilya, Kulshrestha, Ankit, Sybrandt, Justin, Matta, Krish, Shtutman, Michael, Safro, Ilya

“…ABSTRACT In 2020, the White House released the, “Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset,” wherein artificial…”
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