Automated update through cc-citations github repo

2022.jsonl

@@ -424,7 +424,7 @@
 {"year":"2022","title":"Emotion Detection using Deep Learning","authors":["Y Shaaban, H Korashy, W Medhat - 2021 16th International Conference on Computer …, 2021"],"snippet":"Emotion detection is one of the challenging tasks in Natural Language Processing. The applications of emotion detection can be utilized in different fields like data mining, psychology, and human-computer interaction. The paper aims to train …","url":["https://ieeexplore.ieee.org/abstract/document/9686108/"]}
 {"year":"2022","title":"Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation","authors":["Z Tian, Z Wen, Z Wu, Y Song, J Tang, D Li, NL Zhang - International Conference on …, 2022"],"snippet":"Face-to-face communication leads to better interactions between speakers than text-to-text conversations since the speakers can capture both textual and visual signals. Image-grounded emotional response generation (IgERG) tasks requires chatbots to generate a …","url":["https://link.springer.com/chapter/10.1007/978-3-031-00129-1_1"]}
 {"year":"2022","title":"Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey","authors":["K Nozawa, I Sato - arXiv preprint arXiv:2204.08226, 2022"],"snippet":"Representation learning enables us to automatically extract generic feature representations from a dataset to solve another machine learning task. Recently, extracted feature representations by a representation learning algorithm and a …","url":["https://arxiv.org/pdf/2204.08226"]}
-{"year":"2022","title":"Employing a Multilingual Transformer Model for Segmenting Unpunctuated Arabic Text","authors":["AM Alshanqiti, S Albouq, AB Alkhodre, A Namoun… - 2022"],"snippet":"Long unpunctuated texts containing complex linguistic sentences are a stumbling block to processing any low-resource languages. Thus, approaches that attempt to segment lengthy texts with no proper punctuation into simple candidate sentences …","url":["https://www.preprints.org/manuscript/202208.0451/download/final_file"]}
+{"year":"2022","title":"Employing a Multilingual Transformer Model for Segmenting Unpunctuated Arabic Text","authors":["A Alkhodre","AM Alshanqiti, S Albouq, AB Alkhodre, A Namoun… - 2022"],"snippet":"Long unpunctuated texts containing complex linguistic sentences are a stumbling block to processing any low-resource languages. Thus, approaches that attempt to segment lengthy texts with no proper punctuation into simple candidate sentences …","url":["https://www.academia.edu/download/122450018/pdf.pdf","https://www.preprints.org/manuscript/202208.0451/download/final_file"]}
 {"year":"2022","title":"En-SeqGAN: An Efficient Sequence Generation Model for Deceiving URL Classifiers","authors":["TD Pham, TTT Pham, VC Ta - Asian Conference on Intelligent Information and …, 2022"],"snippet":"… The URLs in the data are crawled from Common Crawl website [19] and Phishtank [20] It resulted in 6 million legitimate URLs from Common Crawl and 1 million phish URLs from Phishtank. We follow the preprocessing procedure from [21] …","url":["https://link.springer.com/chapter/10.1007/978-981-19-8234-7_37"]}
 {"year":"2022","title":"Energy-Efficient Data Transfer Optimization via Decision-Tree Based Uncertainty Reduction","authors":["H Jamil, L Rodolph, J Goldverg, T Kosar - arXiv preprint arXiv:2204.07601, 2022"],"snippet":"… These include: (1) the small file size dataset consisting of 20,000 HTML files derived from the common crawl project [24]; (2) the medium file size dataset consisting of 5,000 image files derived from Flickr [25]; (3) the large file size dataset …","url":["https://arxiv.org/pdf/2204.07601"]}
 {"year":"2022","title":"Enhanced Distance-aware Self-attention and Multi-level Match for Sentence Semantic Matching","authors":["Y Deng, X Li, M Zhang, X Lu, X Sun - Neurocomputing, 2022"],"snippet":"Sentence semantic matching is a core research area in natural language processing, which is widely used in various natural language tasks. In recent years, attention mechanism has shown good performance in deep neural networks for sentence …","url":["https://www.sciencedirect.com/science/article/pii/S0925231222006877"]}

2024.jsonl

@@ -980,7 +980,7 @@
 {"year":"2024","title":"Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities","authors":["G Liu, N Van Huynh, H Du, DT Hoang, D Niyato, K Zhu… - arXiv preprint arXiv …, 2024"],"snippet":"With recent advances in artificial intelligence (AI) and robotics, unmanned vehicle swarms have received great attention from both academia and industry due to their potential to provide services that are difficult and dangerous to perform by humans …","url":["https://arxiv.org/pdf/2402.18062"]}
 {"year":"2024","title":"Generative AI from Theory to Practice: A Case Study of Financial Advice","authors":["AW Lo, J Ross - 2024"],"snippet":"We identify some of the most pressing issues facing the adoption of large language models (LLMs) in practical settings and propose a research agenda to reach the next technological inflection point in generative AI. We focus on three challenges …","url":["https://mit-genai.pubpub.org/pub/l89uu140"]}
 {"year":"2024","title":"Generative AI in Education From the Perspective of Students, Educators, and Administrators","authors":["A Ghimire - 2024"],"snippet":"This research explores how advanced artificial intelligence (AI), like the technology that powers tools such as ChatGPT, is changing the way we teach and learn in schools and universities. Imagine AI helping to summarize thick legal documents …","url":["https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1119&context=etd2023"]}
-{"year":"2024","title":"Generative AI","authors":["WR Business, T Taulli"],"snippet":"… • CommonCrawl News: This is a dataset of news stories from websites across the globe. …","url":["https://link.springer.com/content/pdf/10.1007/978-1-4842-9367-6.pdf"]}
+{"year":"2024","title":"Generative AI","authors":["A Ibrahim","WR Business, T Taulli"],"snippet":"After almost six years of study, earning two bachelor’s degrees and now completing this master’s, my student journey comes to an end with this thesis, for now. My time at TU Delft has been a journey of both intellectual growth and personal discovery …","url":["https://link.springer.com/content/pdf/10.1007/978-1-4842-9367-6.pdf","https://repository.tudelft.nl/file/File_f005f661-bad5-4dea-a8ec-7647ab02bd99"]}
 {"year":"2024","title":"Generative AI, Plagiarism, and Copyright Infringement in Legal Documents","authors":["AB Cyphert - Minnesota Journal of Law, Science & Technology, 2024"],"snippet":"… OpenAI acknowledged in the GPT-3 research paper that GPT-3 was trained on the Common Crawl dataset, “which includes everything from traditional news sites like the New York Times to sites like Reddit.” Cyphert, supra note 1, at 407, citing Liz …","url":["https://scholarship.law.umn.edu/cgi/viewcontent.cgi?article=1564&context=mjlst"]}
 {"year":"2024","title":"Generative AI-Augmented Decision-Making for Business Information Systems","authors":["E Kromidha, RM Davison - IFIP International Conference on Human Choice and …, 2024"],"snippet":"… This is only influenced by the data it has been trained on, and its users which is one of its main limitations as ChatGPT was trained on datasets like Wikipedia, BookCorpus for books, and Common Crawl for web content which are mainly in …","url":["https://link.springer.com/chapter/10.1007/978-3-031-67535-5_5"]}
 {"year":"2024","title":"Generative AI-Based Text Generation Methods Using Pre-Trained GPT-2 Model","authors":["R Pandey, H Waghela, S Rakshit, A Rangari, A Singh… - arXiv preprint arXiv …, 2024"],"snippet":"This work delved into the realm of automatic text generation, exploring a variety of techniques ranging from traditional deterministic approaches to more modern stochastic methods. Through analysis of greedy search, beam search, top-k …","url":["https://arxiv.org/pdf/2404.01786"]}
@@ -2244,7 +2244,7 @@
 {"year":"2024","title":"We have no idea what we are walking into: AI and ethical considerations","authors":["KB Forrest - Annals of the New York Academy of Sciences, 2024"],"snippet":"… called “Common Crawl” provide data, “C4” is a curated (de-duplicated and some nonsensical junk eliminated) set of the Common Crawl data, then there is a data set well named “The Pile”, and others that are compilations of books, music …","url":["https://nyaspubs.onlinelibrary.wiley.com/doi/abs/10.1111/nyas.15133"]}
 {"year":"2024","title":"Weakly supervised learning for an effective focused web crawler","authors":["PRJ Dhanith, K Saeed, G Rohith, SP Raja - Engineering Applications of Artificial …, 2024"],"snippet":"Focused crawler traverses the Web to only collect pages that are relevant to a particular topic, and is increasingly considered as a way to get around the scalability issues with current general-purpose search engines. But the data diversity in the …","url":["https://www.sciencedirect.com/science/article/pii/S0952197624001027"]}
 {"year":"2024","title":"WEATHER-5K: A Large-scale Global Station Weather Dataset Towards Comprehensive Time-series Forecasting Benchmark","authors":["T Han, S Guo, Z Chen, W Xu, L Bai - arXiv preprint arXiv:2406.14399, 2024"],"snippet":"Global Station Weather Forecasting (GSWF) is crucial for various sectors, including aviation, agriculture, energy, and disaster preparedness. Recent advancements in deep learning have significantly improved the accuracy of weather predictions by …","url":["https://arxiv.org/pdf/2406.14399"]}
-{"year":"2024","title":"Web Archives Metadata Generation with GPT-4o: Challenges and Insights","authors":["AY Huang, A Nair, ZR Goh, T Liu - arXiv preprint arXiv:2411.05409, 2024"],"snippet":"Current metadata creation for web archives is time consuming and costly due to reliance on human effort. This paper explores the use of gpt-4o for metadata generation within the Web Archive Singapore, focusing on scalability, efficiency, and …","url":["https://arxiv.org/pdf/2411.05409"]}
+{"year":"2024","title":"Web Archives Metadata Generation with GPT-4o: Challenges and Insights","authors":["A Nair, ZR Goh, T Liu, AYP Huang - Information Technology and Libraries, 2025","AY Huang, A Nair, ZR Goh, T Liu - arXiv preprint arXiv:2411.05409, 2024"],"snippet":"Current metadata creation for web archives is time consuming and costly due to reliance on human effort. This paper explores the use of gpt-4o for metadata generation within the Web Archive Singapore, focusing on scalability, efficiency, and …","url":["https://arxiv.org/pdf/2411.05409","https://ital.corejournals.org/index.php/ital/article/download/17305/11938"]}
 {"year":"2024","title":"Web Crawl Refusals: Insights From Common Crawl","authors":["M Ansar - 2024"],"snippet":"… Abstract: This study investigates server-side blocks encountered by Common Crawl, a major … that approximately 1.68% of websites in a Common Crawl snapshot exhibit some form of explicit … of these blocks and the effectiveness of …","url":["http://essay.utwente.nl/98890/"]}
 {"year":"2024","title":"Web Data Commons-RDFa, Microdata, Embedded JSON-LD, and Microformats Data Sets-October 2023","authors":["A Brinkmann, C Bizer - 2024"],"snippet":"The Web Data Commons RDFa, Microdata and Microformats data sets has been extracted from the September/October 2023 release of the Common Crawl. In summary, we found structured data within 1.7 billion HTML pages out of the 3.4 …","url":["https://madata.bib.uni-mannheim.de/429/"]}
 {"year":"2024","title":"Web Data Commons-Schema. org Table Corpus 2023","authors":["R Peeters, A Brinkmann, C Bizer - 2024"],"snippet":"The WDC schema.org Table Corpus consists of ~5 million relational tables which were generated by extracting schema.org data from the Common Crawl and grouping the data into seperate tables for each class/host combination, eg all …","url":["https://madata.bib.uni-mannheim.de/430/"]}