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Towards automatic tweet generation: A comparative study from the text summarization perspective in the journalism genre

Elena Lloret, Manuel Palomar
2013 Expert systems with applications  
We would also like to thank the users who participated in the manual evaluation.  ...  Acknowledgements This research work has been partially funded by the Spanish Government ("Ministerio de Economía y competitividad) through the project "Técnicas de Deconstrucción en la Tecnologías del  ...  Title: "Towards Automatic Tweet Generation: A Comparative Study from the Text Summarization Perspective in the Journalism Genre" Authors: Elena Lloret and Manuel Palomar RESEARCH HIGHLIGHTS:  The task  ... 
doi:10.1016/j.eswa.2013.06.021 fatcat:pexaididdzbzfpiek5ami2laim

Message from the general chair

Benjamin C. Lee
2015 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)  
To inject knowledge, we use a state-of-the-art system which cross-links (or "grounds") expressions in free text to Wikipedia.  ...  Compared with the best system from CoNLL-2011, which employs a rule-based method, our system shows competitive performance.  ...  Framework of Automatic Text Summarization Using Reinforcement Learning Seonggi Ryang and Takeshi Abekawa Thursday 3:00pm-3:30pm -202 B (ICC) We present a new approach to the problem of automatic text summarization  ... 
doi:10.1109/ispass.2015.7095776 dblp:conf/ispass/Lee15 fatcat:ehbed6nl6barfgs6pzwcvwxria

Geo-spatial Market Segmentation & Characterization Exploiting User Generated Text Through Transformers & Density-Based Clustering

Luis E. Ferro-Diez, Norha M. Villegas, Javier Diaz-Cely, Sebastian G. Acosta
2021 IEEE Access  
Our approach differentiates from other studies in the fact that we exploit user generated geo tagged messages as a criteria to characterize segmented geographic areas.  ...  In Figure 5 , the subplot (a) shows a heatmap of geo tagged messages in Los Angeles -USA from a subset of 1,000 tweets. The subplot(b) shows the calculated clusters from the geo tagged messages.  ... 
doi:10.1109/access.2021.3071620 fatcat:26w4ssvq6jed3cgkmy2lwu6h7e

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation [article]

Albert Gatt, Emiel Krahmer
2018 arXiv   pre-print
This paper surveys the current state of the art in Natural Language Generation (NLG), defined as the task of generating text or speech from non-linguistic input.  ...  This survey therefore aims to (a) give an up-to-date synthesis of research on the core tasks in NLG and the architectures adopted in which such tasks are organised; (b) highlight a number of relatively  ...  In addition, we have greatly benefitted from discussions with and comments from Grzegorz Chrupala, Robert Dale, Raquel Hervás, Thiago Castro Ferreira, Ehud Reiter, Marc Tanti, Mariët Theune, Kees van Deemter  ... 
arXiv:1703.09902v4 fatcat:owx2fgo2bjej3b27ve2f3ledoe

Stance Detection

Dilek Küçük, Fazli Can
2020 ACM Computing Surveys  
Although stance detection is defined in different ways in different application settings, the most common definition is "automatic classification of the stance of the producer of a piece of text, towards  ...  In this article, we tackle an important problem from the same family and present a survey of stance detection in social media posts and (online) regular texts.  ...  ACKNOWLEDGMENTS The authors would like to thank the anonymous reviewers for their insightful comments.  ... 
doi:10.1145/3369026 fatcat:5fviqvi6o5by7p6pdfrgxub2vi

Argumentation Mining in User-Generated Web Discourse

Ivan Habernal, Iryna Gurevych
2017 Computational Linguistics  
Our findings show that argumentation mining in user-generated Web discourse is a feasible but challenging task.  ...  (ii) We bridge the gap between normative argumentation theories and argumentation phenomena encountered in actual data by adapting an argumentation model tested in an extensive annotation study.  ...  Acknowledgments This work has been supported by the Volkswagen Foundation as part of the  ... 
doi:10.1162/coli_a_00276 fatcat:674mcidazver3g3dud2e3frlzq

A Survey of Knowledge-Enhanced Text Generation [article]

Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
2022 arXiv   pre-print
In this survey, we present a comprehensive review of the research on knowledge enhanced text generation over the past five years.  ...  However, the input text alone often provides limited knowledge to generate the desired output, so the performance of text generation is still far from satisfaction in many real-world scenarios.  ...  For example, in the problem of aspectbased summarization, the work [114] automatically creates target summaries based on external knowledge bases, which are used to train the summarization model in a  ... 
arXiv:2010.04389v3 fatcat:vzdtlz4j65g2va7gwkbmzyxkhq

Computational Register Analysis and Synthesis [article]

Shlomo Engelson Argamon
2019 arXiv   pre-print
, seeking to generate a text in a desired register.  ...  The study of register in computational language research has historically been divided into register analysis, seeking to determine the registerial character of a text or corpus, and register synthesis  ...  Kan and McKeown (2002) describe a text summarization system that learns content planning rules from an annotated corpus for generating summaries matching the style of the corpus.  ... 
arXiv:1901.02543v1 fatcat:i36djze465ftlcyg2ttwillvlu

A survey on different dimensions for graphical keyword extraction techniques: Issues and Challenges

Muskan Garg
2021 Artificial Intelligence Review  
to study the structure of WCN for different genres.  ...  In this regard, the Automatic Keyword Extraction (AKE) from textual data has become even more interesting due to its application over different domains of Natural Language Processing (NLP).  ...  This was earlier used for text summarization, namely, abstractive text summarization and extractive text summarization.  ... 
doi:10.1007/s10462-021-10010-6 pmid:33907346 pmcid:PMC8062621 fatcat:a4boojb4vrebtkoqwn3l66zo7e

Epilogue [chapter]

Deborah Brandt
2020 Approaches to Lifespan Writing Research: Generating an Actionable Coherence  
The Perspectives on Writing series addresses writing studies in a broad sense.  ...  Consistent with the wide ranging approaches characteristic of teaching and scholarship in writing across the curriculum, the series presents works that take divergent perspectives on working as a writer  ...  Overwhelmed and alone" (emphasis in text; Journal, May 18, 2018, p. 82).  ... 
doi:10.37514/per-b.2020.1053.3.2 fatcat:xvmeodke7fezrk2pmmyeeh4vtu

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

Albert Gatt, Emiel Krahmer
2018 The Journal of Artificial Intelligence Research  
This paper surveys the current state of the art in Natural Language Generation (NLG), defined as the task of generating text or speech from non-linguistic input.  ...  This survey therefore aims to (a) give an up-to-date synthesis of research on the core tasks in NLG and the architectures adopted in which such tasks are organised; (b) highlight a number of recent research  ...  In addition, we have greatly benefitted from discussions with and comments from Grzegorz Chrupala, Robert Dale, Raquel Hervás, Thiago Castro Ferreira, Ehud Reiter, Marc Tanti, Mariët Theune, Kees van Deemter  ... 
doi:10.1613/jair.5477 fatcat:ycuteghjzncn7nx6pzkhzd6mn4

#nowplaying Madonna: a large-scale evaluation on estimating similarities between music artists and between movies from microblogs

Markus Schedl
2012 Information retrieval (Boston)  
For the music collections, we present results of genre classification experiments using as benchmark genre information from allmusic.com.  ...  Therefore, microblogs represent a valuable source for text-based named entity modeling.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s)  ... 
doi:10.1007/s10791-012-9187-y pmid:24817824 pmcid:PMC4008152 fatcat:6rugelwzcbczlmphvypqlroroi

Contradiction Detection for Rumorous Claims

Piroska Lendvai, Uwe D. Reichel
2016 arXiv   pre-print
To address noisy text, our classifiers use simple similarity features derived from the string and part-of-speech level.  ...  We design and evaluate models for the two scenarios uniformly as 3-way Recognizing Textual Entailment tasks in order to represent claims and conversation structure implicitly in a generic inference model  ...  Lendvai was supported by the PHEME FP7 project (grant nr. 611233), U. D. Reichel by an Alexander von Humboldt Society grant. We thank anonymous reviewers for their input.  ... 
arXiv:1611.02588v2 fatcat:bdq4njjunjf6xlqngqatlqsldi

Excavating the mother lode of human-generated text: A systematic review of research that uses the wikipedia corpus

Mohamad Mehdi, Chitu Okoli, Mostafa Mesgari, Finn Årup Nielsen, Arto Lanamäki
2017 Information Processing & Management  
In a similar study, Wang et al. [129] developed an automatic thesaurus of concepts from Wikipedia to enrich the"bag of words" representation of texts.  ...  [19] the development and evolution of genre in Wikipedia for the purpose of retrieving structured texts.  ... 
doi:10.1016/j.ipm.2016.07.003 fatcat:qgjeatizfzbyjkbo4rsuxea76y

State of the Art Language Technologies for Italian: The EVALITA 2014 Perspective

Giuseppe Attardi, Valerio Basile, Cristina Bosco, Tommaso Caselli, Felice Dell'Orletta, Simonetta Montemagni, Viviana Patti, Maria Simi, Rachele Sprugnoli, Salvatore Ruggieri
2015 Intelligenza Artificiale  
future research will be discussed from this perspective.  ...  The advantages of this approach are evident in any experimental field, including the area of Natural Language Processing.  ...  ISDT includes texts representative of various textual genres, ranging from legal texts (the Civil code, the Italian Constitution and European directives) to newspaper and Wikipedia articles, for a total  ... 
doi:10.3233/ia-150076 fatcat:x6nfr34bubflzpang7e6otw2pa
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