Relevant bibliographies by topics / News headline generator

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'News headline generator'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "News headline generator"

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Tsann Phua, Yeong, Kwang Hooi Yew, Mohd Fadzil Hassan, and Matthew Teow Yok Wooi. "Malay phoneme-based subword news headline generator for low-resource language." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 4 (2024): 4965. http://dx.doi.org/10.11591/ijai.v13.i4.pp4965-4975.

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The booming of technology has significantly increased the amount of news articles for readers. The headline of news plays an essential role in attracting readers. Traditionally, crafting the news headline is a manual task at the news desk. The motivation of this paper is to address the issues faced in low resource languages, such as the Malay language. The main contribution of this paper is a new hybrid model based on extractive- and abstractive-based text summarization with the integration of a geographical linguistics model; a Malay phoneme-based subword embedding has been developed to solve
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Yeong, Tsann Phua, Hooi Yew Kwang, Fadzil Hassan Mohd, and Teow Yok Wooi Matthew. "Malay phoneme-based subword news headline generator for low-resource language." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 4 (2024): 4965–75. https://doi.org/10.11591/ijai.v13.i4.pp4965-4975.

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The booming of technology has significantly increased the amount of news articles for readers. The headline of news plays an essential role in attracting readers. Traditionally, crafting the news headline is a manual task at the news desk. The motivation of this paper is to address the issues faced in low resource languages, such as the Malay language. The main contribution of this paper is a new hybrid model based on extractive- and abstractive-based text summarization with the integration of a geographical linguistics model; a Malay phoneme-based subword embedding has been developed to solve
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Shamigov, Fedor, and Zoya Rezanova. "Automatic Generation of News Headlines Using RuGPT-3 Neural Network: Effect of Training Dataset on Model Performance." Virtual Communication and Social Networks 4, no. 1 (2025): 62–70. https://doi.org/10.21603/2782-4799-2025-4-1-62-70.

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News agencies compete in the digital space, where the success often depends on the promptness of publication, which can be provided by automatic headline generation technologies. This study examined the effect of dataset types on the quality of headline generation, i.e., the impact of dataset type (individual news categories vs. their combination) on the quality of automatic news headlines. The initial hypothesis was that training the RuGPT-3 model on thematic sets of articles and on their totality would give different generated headlines. The authors used the RuGPT-3 model and news articles p
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Lieb, Anna, Maneesh Arora, and Eni Mustafaraj. "Online News Coverage of Critical Race Theory Controversies: A Dataset of Annotated Headlines." Proceedings of the International AAAI Conference on Web and Social Media 18 (May 28, 2024): 1979–90. http://dx.doi.org/10.1609/icwsm.v18i1.31441.

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In this paper, we introduce an annotated dataset of 11,704 unique U.S. news headlines related to critical race theory and its controversies from August 2020 through December 2022. Annotations generated by GPT-4 specify the headline stance and the primary actor in the headline. GPT-4 annotations performed well on the validation dataset, with weighted average F-scores of 0.8339 for headline stance annotations and 0.7625 for primary actor annotations. Along with the annotated headlines and URLs to the full article, we augment the dataset with metrics that are relevant to future research on politi
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Shrawankar, Urmila, and Kranti Wankhede. "News Headline Building using Hybrid Headline Generation Technique for Quick Gist." International Journal of Natural Computing Research 6, no. 1 (2017): 36–52. http://dx.doi.org/10.4018/ijncr.2017010103.

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A considerable amount of time is required to interpret whole news article to get the gist of it. Therefore, in order to reduce the reading and interpretation time, headlines are necessary. The available techniques for news headline construction mainly includes extractive and abstractive headline generation techniques. In this paper, context based news headline is formed from long news article by using techniques of core Natural Language Processing (NLP) and key terms of news article. Key terms are retrieved from lengthy news article by using various approaches of keyword extraction. The keyphr
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Gherheș, Vasile, Marcela Alina Fărcașiu, and Mariana Cernicova-Buca. "Are ChatGPT-Generated Headlines Better Attention Grabbers than Human-Authored Ones? An Assessment of Salient Features Driving Engagement with Online Media." Journalism and Media 5, no. 4 (2024): 1817–35. https://doi.org/10.3390/journalmedia5040110.

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This study focuses on the case of news headlines in current online journalism, looking into the current possibilities opened by ChatGPT to generate such texts in an attention-grabbing manner. To assess the reaction of online readers to headlines (clickbait or click-worthy), an online survey was applied, involving Romanian students. A total of 100 original human-authored articles with clickbait headlines were extracted from a relevant Romanian database. ChatGPT was used to generate alternative headlines (one clickbait and one informative) based on the original texts. The resulting corpus of 100
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Neupane, Amul, Kapalik Khanal, Nitesh Nepal, and Naseeb Dangi. "Advanced News Aggregation and Content Generation Using LLMs and NLP Algorithms." European Journal of Applied Science, Engineering and Technology 3, no. 2 (2025): 295–303. https://doi.org/10.59324/ejaset.2025.3(2).24.

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The exponential growth of digital information has created a unique opportunity in the media industry to leverage Large Language Models (LLMs) for news aggregation and content generation. This paper explores the application of LLMs and Natural Language Processing (NLP) for the automation of news aggregation and content creation. This study presents a system designed to automatically fetch news headlines and articles from various news portals, with an initial implementation involving four distinct sources. Utilizing a combination of advanced natural language processing techniques, including Open
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Gherheș, Vasile, Marcela Alina Fărcașiu, Mariana Cernicova-Buca, and Claudiu Coman. "AI vs. Human-Authored Headlines: Evaluating the Effectiveness, Trust, and Linguistic Features of ChatGPT-Generated Clickbait and Informative Headlines in Digital News." Information 16, no. 2 (2025): 150. https://doi.org/10.3390/info16020150.

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This study explores possible applications of AI technology in online journalism, given the predictions that speed and adaptation to the new medium will increase the penetration of automation in the production business. The literature shows that while the human supervision of journalistic workflow is still considered vital, the journalistic workflow is changing in nature, with the writing of micro-content being entrusted to ChatGPT-3.5 among the most visible features. This research assesses readers’ reactions to different headline styles as tested on a sample of 624 students from Timisoara, Rom
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Maine, Barry. "Late Nineteenth-Century Trompe L'Oeil and Other Performances of the Real." Prospects 16 (October 1991): 281–95. http://dx.doi.org/10.1017/s0361233300004555.

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“We live in an age of wonders!” exclaims a character in Henry James's The Bostonians (1886). And so it must have seemed to any American who could read the newspapers, which thrived, in the 1880s, on the business of proclaiming marvels. In The Bostonians one of the “wonders” is Miss Verena Tarrant, whose precocious and hypnotic speaking powers on the subject of women's rights — together with a pretty face and trim figure — succeeded in selling out the Boston Music Hall. Other wonders of the decade were less comely but more enduring: the lightbulb, the electric generator (which so awed Henry Ada
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Zhou, Zhibo, Yang Yang, and Zhoujun Li. "APSN: Adversarial Pseudo-Siamese Network for Fake News Stance Detection." Electronics 12, no. 4 (2023): 1043. http://dx.doi.org/10.3390/electronics12041043.

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Fake news is a longstanding issue that has existed on the social network, whose negative impact has been increasingly recognized since the US presidential election. During the election, numerous fake news about the candidates distributes vastly in the online social networks. Identifying inauthentic news quickly is an essential purpose for this research to enhance the trustworthiness of news in online social networks, which will be the task studied in this paper. The fake news stance detection can contribute to detect a startling amount of fake news, which aims at evaluating the relevance betwe
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Dissertations / Theses on the topic "News headline generator"

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Lin, Tsung, and 林聰. "Learning to Generate News Headlines with Media’s Stance." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/6q545r.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>107<br>As neural network model thrives, nature language processing enters into a new chapter. Powerful models motivate the innovation and renovation of text generation tasks. Text generation tasks are no longer the simple task like text summarization or machine translation, they try to generate text with a variety of novel conditions, e.g., sentence length, tense and sentiment. Neural models also have a great success in some classification task. Stance classification is one of popular research topics. Inspired from conditional text generation and stance classificati
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Chiang, Pei-ling, and 江珮翎. "A Study on the Automatic Generation for Headlines of Chinese News Articles." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/95011783519006885215.

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碩士<br>國立政治大學<br>資訊科學學系<br>91<br>As the number of digital documents on internet is growing up, analysis and organization of documents become quite important. In this thesis, we propose an approach for headline generation of documents. We can try our best to transfer the document data into information in some sense using the proposed approach. We review literature about the related topics, and present a different approach to deal with Chinese documents rather than English documents. We propose some approach to Chinese documents headline generation. The thesis is separate two steps, one is
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Books on the topic "News headline generator"

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Kolstø, Pål, and Helge Blakkisrud, eds. Russia Before and After Crimea. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474433853.001.0001.

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Explores the momentous changes that have taken place in the Russian national identity discourse since Putin’s return to the presidency Russia’s annexation of Crimea in 2014 marked a watershed in post-Cold War European history and brought East–West relations to a low point. At the same time, by selling this fateful action in starkly nationalist language, the Putin regime achieved record-high popularity. This book shows how, after the large-scale 2011–2013 anti-Putin demonstrations in major Russian cities and the parallel rise in xenophobia related to the Kremlin’s perceived inability to deal wi
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Waxman, Dov. The Israeli-Palestinian Conflict. Oxford University Press, 2019. http://dx.doi.org/10.1093/wentk/9780190625320.001.0001.

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No conflict in the world has lasted as long, generated as many news headlines, or incited as much controversy as the Israeli-Palestinian conflict. Yet, despite, or perhaps because of, the degree of international attention it receives, the conflict is still widely misunderstood. While Israelis and Palestinians and their respective supporters trade accusations, many outside observers remain confused by the conflict's complexity and perplexed by the passion it arouses. The Israeli-Palestinian Conflict: What Everyone Needs to Know® offers an even-handed and judicious guide to the world's most intr
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Colton, Timothy J. Russia. Oxford University Press, 2016. http://dx.doi.org/10.1093/wentk/9780199917808.001.0001.

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Today’s Russia, also known as the Russian Federation, is often viewed as less powerful than the Soviet Union of the past. When stacked against other major nations in the present, however, the new Russia is a formidable if flawed player. Russia: What Everyone Needs to Know® provides fundamental information about the origins, evolution, and current affairs of the Russian state and society. The story begins with Russia’s geographic endowment, proceeds through its experiences as a kingdom and empire, and continues through the USSR’s three-quarters of a century, and finally the shocking breakup of
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Brint, Steven. Two Cheers for Higher Education. Princeton University Press, 2018. http://dx.doi.org/10.23943/princeton/9780691182667.001.0001.

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Today's headlines suggest that universities' power to advance knowledge and shape American society is rapidly declining. But this book's author has tracked numerous trends demonstrating their vitality. After a recent period that witnessed soaring student enrollment and ample research funding, the book argues that universities are in a better position than ever before. Focusing on the years 1980–2015, it details the trajectory of American universities, which was influenced by evolving standards of disciplinary professionalism, market-driven partnerships (especially with scientific and technolog
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Toal, Gerard. Near Abroad. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190253301.001.0001.

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Before Russia invaded Ukraine, it invaded Georgia. Both states are part of Russia's "near abroad" - newly independent states that were once part of the Soviet Union and are now Russia's neighbors. While the Russia-Georgia war of 2008 faded from the headlines in the wake of the global recession, the geopolitical contest that created it did not. Six years later, the spectre of a revanchist Russia returned when Putin's forces invaded and annexed the Crimean peninsula, once part of Russia but an internationally recognized part of Ukraine since the Soviet collapse. Crimea's annexation and follow on
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Gado, Mark. Killer Priest. Praeger, 2006. http://dx.doi.org/10.5040/9798400675744.

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He was a Catholic priest and a killer. Hans Schmidt, ordained in Germany in 1904, arrived in the United States in 1908 and was assigned to St. John's Parish in Louisville, Kentucky. Arguments with the minister resulted in Schmidt's transfer to St. Boniface Church in New York City. There he met beautiful Anna Aumuller, a housekeeper for the rectory who had recently emigrated from Austria. Despite his transfer to a church far uptown, Father Schmidt and Anna continued a romantic affair and, in a secret ceremony he performed himself, they were married. When he discovered she was pregnant, Father S
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Book chapters on the topic "News headline generator"

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Rajalakshmy, K. R., and P. C. Remya. "Automatic Headline Generation for News Article." In Advances in Intelligent Systems and Computing. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2734-2_36.

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Login, Nikita, Alexander Baranov, and Pavel Braslavski. "Jokingbird: Funny Headline Generation for News." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16500-9_9.

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Kumar, Jeetendra, Shashi Shekhar, and Rashmi Gupta. "News Headline Generation Using Abstractive Text Summarization." In Communications in Computer and Information Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20977-2_9.

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Charmi, Divecha, Jadhav Utkarsh, Kothari Yashvi, Panjwani Sanskriti, and Jain Kavita. "AI News Summarization, Headline Generation, and Classification." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78934-2_18.

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Bukhtiyarov, Alexey, and Ilya Gusev. "Advances of Transformer-Based Models for News Headline Generation." In Communications in Computer and Information Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59082-6_4.

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Hayashi, Yuko, and Hidekazu Yanagimoto. "Headline Generation with Recurrent Neural Network." In New Trends in E-service and Smart Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70636-8_6.

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Gonçalo Oliveira, Hugo, Diogo Costa, and Alexandre Miguel Pinto. "Automatic Generation of Internet Memes from Portuguese News Headlines." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41552-9_34.

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Masum, Abu Kaisar Mohammad, Md Majedul Islam, Sheikh Abujar, Amit Kumer Sorker, and Syed Akhter Hossain. "Bengali News Headline Generation on the Basis of Sequence to Sequence Learning Using Bi-Directional RNN." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7394-1_45.

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"Using News Headlines to Generate Signals." In Sentiment in the Forex Market. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119197140.ch4.

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De Mattei, Lorenzo, Michele Cafagna, Felice Dell’Orletta, Malvina Nissim, and Albert Gatt. "CHANGE-IT @ EVALITA 2020: Change Headlines, Adapt News, GEnerate." In EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020. Accademia University Press, 2020. http://dx.doi.org/10.4000/books.aaccademia.7250.

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Conference papers on the topic "News headline generator"

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Egriboz, Emre, and Mehmet Fatih Amasyalı. "GPT-2 Modelleri Kullanarak Haber Özetinden Başlık ve Başlıktan Haber Özeti Üretimi Generation of Headline from News Summary and News Summary from Headline Using GPT-2 Models." In 2024 Innovations in Intelligent Systems and Applications Conference (ASYU). IEEE, 2024. https://doi.org/10.1109/asyu62119.2024.10756989.

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Jiang, Zhuoxuan, Lingfeng Qiao, Di Yin, Shanshan Feng, and Bo Ren. "Leveraging Key Information Modeling to Improve Less-Data Constrained News Headline Generation via Duality Fine-Tuning." In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.aacl-main.5.

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Üyük, Cem, Danica Rovó, Shaghayeghkolli Shaghayeghkolli, Rabia Varol, Georg Groh, and Daryna Dementieva. "Crafting Tomorrow’s Headlines: Neural News Generation and Detection in English, Turkish, Hungarian, and Persian." In Proceedings of the Third Workshop on NLP for Positive Impact. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.nlp4pi-1.25.

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Shohan, Faisal Tareque, Mir Tafseer Nayeem, Samsul Islam, Abu Ubaida Akash, and Shafiq Joty. "XL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags." In Findings of the Association for Computational Linguistics ACL 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-acl.771.

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Li, Junjie, and Hui Cao. "Research on Dual Channel News Headline Classification Based on ERNIE Pre-training Model." In 6th International Conference on Artificial Intelligence, Soft Computing and Applications (AISCA 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120203.

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The classification of news headlines is an important direction in the field of NLP, and its data has the characteristics of compactness, uniqueness and various forms. Aiming at the problem that the traditional neural network model cannot adequately capture the underlying feature information of the data and cannot jointly extract key global features and deep local features, a dual-channel network model DC-EBAD based on the ERNIE pre-training model is proposed. Use ERNIE to extract the lexical, semantic and contextual feature information at the bottom of the text, generate dynamic word vector re
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Zhang, Ruqing, Jiafeng Guo, Yixing Fan, et al. "Question Headline Generation for News Articles." In CIKM '18: The 27th ACM International Conference on Information and Knowledge Management. ACM, 2018. http://dx.doi.org/10.1145/3269206.3271711.

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Yang, Zhao, Junhong Lian, and Xiang Ao. "Fact-Preserved Personalized News Headline Generation." In 2023 IEEE International Conference on Data Mining (ICDM). IEEE, 2023. http://dx.doi.org/10.1109/icdm58522.2023.00197.

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Tilk, Ottokar, and Tanel Alumäe. "Low-Resource Neural Headline Generation." In Proceedings of the Workshop on New Frontiers in Summarization. Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/w17-4503.

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N, Sandeep Varma, Akash Venugopal, and Ayush Sharma. "Crime Scene Analysis for News Headline Generation." In 2023 4th International Conference for Emerging Technology (INCET). IEEE, 2023. http://dx.doi.org/10.1109/incet57972.2023.10170071.

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Akash, Abu Ubaida, Mir Tafseer Nayeem, Faisal Tareque Shohan, and Tanvir Islam. "Shironaam: Bengali News Headline Generation using Auxiliary Information." In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.eacl-main.4.

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Reports on the topic "News headline generator"

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Zajic, David, Bonnie Dorr, and Richard Schwartz. Headline Generation for Written and Broadcast News. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada454198.

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Дирда, Ірина Анатоліївна, Марина Вікторівна Малоіван, and Анна Олександрівна Томіліна. The peculiarities of headlines in English discourse through the examples from Daily Mail and the New Yorker. Видавнича група «Наукові перспективи», 2023. http://dx.doi.org/10.31812/123456789/7074.

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The paper in question outlines the main peculiarities of the phenomenon of headlines in terms of English discourse. Headlines are thought to be a critical component of journalism and media, as they shape initial readers’ impressions of a story serving as the first point of their contact. Using a corpus of headlines from various English-language publications (to be more precise, those of The Daily Mail and The New Yorker) the paper studies the linguistic features and strategies used in them. According to the conducted analysis it has been revealed that a range of linguistic devices, such as pun
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Monetary Policy Report - October 2022. Banco de la República Colombia, 2022. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr4-2022.

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1.1 Macroeconomic summary In September, headline inflation (11.4% annually) and the average of core inflation indicators (8.6% annually) continued on a rising trend, and higher increases than expected were recorded. Forecasts increased again, and inflation expectations remained above 3%. Inflationary surprises in the third quarter were significant and widespread, and they are the result of several shocks. On the one hand, international cost and price shocks, which have mainly affected goods and foods, continue to exert upwards pressure on national inflation. In addition to these external suppl
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Monetary Policy Report - July 2022. Banco de la República, 2022. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr3-2022.

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In the second quarter, annual inflation (9.67%), the technical staff’s projections and its expectations continued to increase, remaining above the target. International cost shocks, accentuated by Russia's invasion of Ukraine, have been more persistent than projected, thus contributing to higher inflation. The effects of indexation, higher than estimated excess demand, a tighter labor market, inflation expectations that continue to rise and currently exceed 3%, and the exchange rate pressures add to those described above. High core inflation measures as well as in the producer price index (PPI
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