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Proceedings of the Fourteenth Workshop on Semantic Evaluation最新文献

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I2C at SemEval-2020 Task 12: Simple but Effective Approaches to Offensive Speech Detection in Twitter I2C在SemEval-2020任务12:简单而有效的Twitter攻击性语音检测方法
Proceedings of the Fourteenth Workshop on Semantic Evaluation Pub Date : 1900-01-01 DOI: 10.18653/v1/2020.semeval-1.259
Victoria Pachón Álvarez, Jacinto Mata Vázquez, José Manuel López Betanzos, José Luis Arjona Fernández
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引用次数: 0
SINAI at SemEval-2020 Task 12: Offensive Language Identification Exploring Transfer Learning Models 在SemEval-2020任务12:攻击性语言识别探索迁移学习模型
Proceedings of the Fourteenth Workshop on Semantic Evaluation Pub Date : 1900-01-01 DOI: 10.18653/v1/2020.semeval-1.211
Flor Miriam Plaza del Arco, M. Dolores Molina González, Alfonso Ureña-López, Maite Martin
{"title":"SINAI at SemEval-2020 Task 12: Offensive Language Identification Exploring Transfer Learning Models","authors":"Flor Miriam Plaza del Arco, M. Dolores Molina González, Alfonso Ureña-López, Maite Martin","doi":"10.18653/v1/2020.semeval-1.211","DOIUrl":"https://doi.org/10.18653/v1/2020.semeval-1.211","url":null,"abstract":"This paper describes the participation of SINAI team at Task 12: OffensEval 2: Multilingual Offensive Language Identification in Social Media. In particular, the participation in Sub-task A in English which consists of identifying tweets as offensive or not offensive. We preprocess the dataset according to the language characteristics used on social media. Then, we select a small set from the training set provided by the organizers and fine-tune different Transformerbased models in order to test their effectiveness. Our team ranks 20th out of 85 participants in Subtask-A using the XLNet model.","PeriodicalId":207482,"journal":{"name":"Proceedings of the Fourteenth Workshop on Semantic Evaluation","volume":"40 24","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131721014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
SSN_NLP at SemEval-2020 Task 7: Detecting Funniness Level Using Traditional Learning with Sentence Embeddings SemEval-2020任务7的SSN_NLP:基于句子嵌入的传统学习检测搞笑程度
Proceedings of the Fourteenth Workshop on Semantic Evaluation Pub Date : 1900-01-01 DOI: 10.18653/v1/2020.semeval-1.109
K. S., T. D., Aravindan Chandrabose
{"title":"SSN_NLP at SemEval-2020 Task 7: Detecting Funniness Level Using Traditional Learning with Sentence Embeddings","authors":"K. S., T. D., Aravindan Chandrabose","doi":"10.18653/v1/2020.semeval-1.109","DOIUrl":"https://doi.org/10.18653/v1/2020.semeval-1.109","url":null,"abstract":"Assessing the funniness of edited news headlines task deals with estimating the humorness in the headlines edited with micro-edits. This task has two sub-tasks in which one has to calculate the mean predicted score of humor level and other deals with predicting the best funnier sentence among given two sentences. We have calculated the humorness level using microtc and predicted the funnier sentence using microtc, universal sentence encoder classifier, many other traditional classifiers that use the vectors formed with universal sentence encoder embeddings, sentence embeddings and majority algorithm within these approaches. Among these approaches, microtc with 6 folds, 24 processes and 3 folds, 36 processes achieve the least Root Mean Square Error for development and test set respectively for subtask 1. For subtask 2, Universal sentence encoder classifier achieves the highest accuracy for development set and Multi-Layer Perceptron applied on vectors vectorized using universal sentence encoder embeddings for the test set.","PeriodicalId":207482,"journal":{"name":"Proceedings of the Fourteenth Workshop on Semantic Evaluation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128527638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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