Slogans, Appeal to time, Conversation killer The text is not an argument but an encouragement to act or think in a particular way This is a multi-label task at paragraph level.Īn argument made of two parts: a statement and a justificationĪppeal to Authority, Appeal to Popularity, Appeal to values, Appeal to fear/prejudice, Flag WavingĪ statement is made that excessively simplify a problem, usually regarding the cause, the consequence or the existence of choicesĬausal oversimplification, False dilemma or no choice, Consequential oversimplificationĪ statement is made that changes the focus away from the main topic or argument Subtask 3: Persuasion Techniques Detectionĭefinition 1: given a news article, identify the persuasion techniques in each paragraph. In ACL and IJCNLP (Volume 2: Short Papers), pages 438-444, Beijing, China. The media frames corpus: Annotations of frames across issues. This taxonomy, as well as a discussion on the definitions of frame,įor details on the definition of frame and the taxonomy used in our annotations, we followed (Card et al., 2015).Ĭard et al., 2015. We consider 14 frames: Economic, Capacity and resources, Morality, Fairness and equality, Legality, constitutionality and jurisprudence, Policy prescription and evaluation, Crime and punishment, Security and defense, Health and safety, Quality of life, Cultural identity, Public opinion, Political, External regulation and reputation. This is a multi-label task at article-level.Ī frame is the perspective under which an issue or a piece of news is presented. This is a multi-class (single-label) task at article-level.ĭefinition: given a news article, identify the frames used in the article. If you want to cite the annotation guidelines, you can use this bibtex file.ĭefinition: given a news article, determine whether it is an opinion piece, aims at objective news reporting, or is a satire piece. While we give a brief description of the tasks here, we also share the annotation guidelines to give more detailed definitions, with examples, of the output classes for each task. In order to promote the development of language-agnostic solutions, we will have two surprise languages for which we will release only test data. The participants may take part in any number of subtask-language pairs (even just one), and may train their systems using the data for all languages (in a multilingual setup). We offer three subtasks on news articles in six languages: News Genre Categorisation, Framing Detection and Persuasion Techniques Detection. In order to foster the use of Artificial Intelligence to perform Media Analysis, we release in the frame of a SemEval 2023 shared task a new dataset covering several complementary aspects of what makes a text persuasive: the genre: opinion, report or satire the framing what key aspects are highlighted the rhetoric: which persuasion techniques are used to influence the reader While he presented it as factual report of his military campaign, this book is now regarded as a propaganda piece to boost his career. (macro-averaged F1) of 57.19 and 63.Julius Caesar didn't use an Appeal to Authority in his first page of "War of Gauls", however he used many other persuasion techniques. The best systems achieved an official score
Thirteen teams participated in the challenge with a total of 61 submissions: 24 Large English training dataset, which we released to the research community. We used crowdsourcing on Amazon Mechanical Turk to label a We set subtask A for Arabic and English on two relatively differentĬQA domains, i.e., the Qatar Living website for English, and a Quran-related YES/NO question with "yes", "no", or "unsure", based on the list of allĪnswers. Or "potentially relevant" with respect to the question, and (b) answering a In cQA", which included two subtasks: (a) classifying answers as "good", "bad", In this context, we organized SemEval-2015 Task 3 on "Answer Selection
#Semeval 2015 task3 pdf#
Download a PDF of the paper titled SemEval-2015 Task 3: Answer Selection in Community Question Answering, by Preslav Nakov and 5 other authors Download PDF Abstract: Community Question Answering (cQA) provides new interesting researchĭirections to the traditional Question Answering (QA) field, e.g., theĮxploitation of the interaction between users and the structure of related
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