内行 发表于 2025-3-23 11:48:53
https://doi.org/10.1007/978-3-662-38465-7in online and social media fora. In spite of this, current Question Answering (QA) systems do not support CM and are only designed to work with a single interaction language. This assumption makes it inconvenient for multi-lingual users to interact naturally with the QA system especially in scenario娴熟 发表于 2025-3-23 15:47:00
Gaussian Network Model of Global Seismicity,users’ stance towards BREXIT, carried out by content analysis of Twitter messages, and the exploration of their social relations, by relying on social network analysis. The analysis of a novel Twitter corpus on the BREXIT debate, developed for our purposes, shows that like-minded individuals (sharin改变 发表于 2025-3-23 20:29:59
http://reply.papertrans.cn/32/3189/318853/318853_13.png无思维能力 发表于 2025-3-24 02:14:05
http://reply.papertrans.cn/32/3189/318853/318853_14.png拥护 发表于 2025-3-24 05:41:46
Hans-Diether Dahm,Horst Pietznerlled ., based on a set of external (impostor) documents and a random subspace ensemble, is one of the most successful approaches. Variations of this method gained top-performing positions in recent PAN evaluation campaigns. In this paper, we propose a modification of the . method that focuses on bot无能力 发表于 2025-3-24 09:50:48
Einleitung und Aufgabenstellung,e tasks of authorship attribution, author profiling, and discriminating between similar languages. We developed a single multi-labeled corpus for the three aforementioned tasks, composed of news articles in different varieties of Spanish. We used the same machine-learning algorithm, Liblinear SVM, i隼鹰 发表于 2025-3-24 10:55:49
http://reply.papertrans.cn/32/3189/318853/318853_17.png有罪 发表于 2025-3-24 17:15:19
Hans-Jürgen Voigt,Thomas WippermannThis paper describes principles for evaluation metrics for lexical components and an implementation of them based on requirements from practical information systems.单色 发表于 2025-3-24 20:52:03
http://reply.papertrans.cn/32/3189/318853/318853_19.png彩色 发表于 2025-3-25 02:28:26
https://doi.org/10.1007/978-3-319-65813-1artificial intelligence; blogs; classification; cluster analysis; clustering algorithms; image segmentati