Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Renlong Ai"'
Publikováno v:
Natural Language Processing and Chinese Computing ISBN: 9783030322359
NLPCC (2)
NLPCC (2)
Sentiment Analysis is the study of opinions produced from human written textual sources and it has become popular in recent years. The area is commonly divided into two main tasks: Document-level Sentiment Analysis and Aspect-based Sentiment Analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abecf88918efcf0c32a51904d77aa0fd
https://doi.org/10.1007/978-3-030-32236-6_56
https://doi.org/10.1007/978-3-030-32236-6_56
Autor:
Leonhard Hennig, Holmer Hemsen, Sven Schmeier, Philippe Thomas, Feiyu Xu, Johannes Kirschnick, Renlong Ai, Hans Uszkoreit
Publikováno v:
RANLP
A huge body of continuously growing written knowledge is available on the web in the form of social media posts, RSS feeds, and news articles. Real-time information extraction from such high velocity, high volume text streams requires scalable, distr
Autor:
Leonhard Hennig, Georg Heigold, Jon Dehdari, Raphael Rubino, Josef van Genabith, Philippe Thomas, Feiyu Xu, Aleksandra Gabryszak, He Wang, Jörg Steffen, Nils Rethmeier, Renlong Ai, Sven Schmeier, Stephan Busemann, Hans Uszkoreit
Publikováno v:
EACL (Software Demonstrations)
Web debates play an important role in enabling broad participation of constituen cies in social, political and economic decision-taking. However, it is challenging to organize, structure, and navigate a vast number of diverse argumentations and comme
Autor:
Sven Schmeier, Jakob Pannier, Johannes Kirschnick, Renlong Ai, Hans Uszkoreit, Leonhard Hennig, Jan Ostwald, He Wang, Philippe Thomas, Nora Zimmermann, Feiyu Xu
Publikováno v:
ACL (System Demonstrations)
Monitoring mobility- and industryrelevant events is important in areas such as personal travel planning and supply chain management, but extracting events pertaining to specific companies, transit routes and locations from heterogeneous, high-volume
Publikováno v:
NLP-TEA@ACL/IJCNLP
We propose a strategy for the semiautomatic generation of learning material for reading-comprehension tests, guided by semantic relations embedded in expository texts. Our approach combines methods from the areas of information extraction and paraphr
Autor:
Renlong Ai
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319206080
HCI (24)
HCI (24)
This paper describes a new method of automatic error detection in Computer Assisted Language Learning (CAPT) system. The method combines linguistic knowledge and modern speech technology. Our HMM classifier trained from annotations of linguists is no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b4a31826e64cc51d76b2fe9eb6a8e5a
https://doi.org/10.1007/978-3-319-20609-7_17
https://doi.org/10.1007/978-3-319-20609-7_17
Autor:
Renlong Ai, Feiyu Xu
Publikováno v:
ACL (System Demonstrations)
In this paper, we demonstrate a system implementation of a framework for computer assisted pronunciation training for second language learner (L2). This framework supports an iterative improvement of the automatic pronunciation error recognition and
Publikováno v:
Natural Interaction with Robots, Knowbots and Smartphones ISBN: 9781461482796
Natural Interaction with Robots, Knowbots and Smartphones, Putting Spoken Dialog Systems into Practice
Natural Interaction with Robots, Knowbots and Smartphones, Putting Spoken Dialog Systems into Practice
Yochina is a mobile application for crosslingual and cross-cultural understanding. The core of the demonstrated app supports dialogues between English and Chinese and German and Chinese. The dialogue facility is connected with interactive language gu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2e0606a5a11a1679504696ecf473548
https://doi.org/10.1007/978-1-4614-8280-2_5
https://doi.org/10.1007/978-1-4614-8280-2_5
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642216046
HCI (2)
HCI (2)
In 2008, the percentage of people with a migration background in Germany had already reached more than 15% (12 Million people). Among that 15%, the ratio of seniors aged 50 years or older was 30% [1]. In most cases, their competence of the German lan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90fdb7335585a2cc0937c64cf5d342d1
https://doi.org/10.1007/978-3-642-21605-3_43
https://doi.org/10.1007/978-3-642-21605-3_43