no code implementations • COLING 2020 • Yufang Huang, Wentao Zhu, Deyi Xiong, Yiye Zhang, Changjian Hu, Feiyu Xu
Unsupervised text style transfer is full of challenges due to the lack of parallel data and difficulties in content preservation.
no code implementations • 6 Sep 2019 • Xinyue Zheng, Peng Wang, Qigang Wang, Zhongchao shi, Feiyu Xu
NAS automatically generates and evaluates meta-learner's architecture for few-shot learning problems, while the meta-learner uses meta-learning algorithm to optimize its parameters based on the distribution of learning tasks.
no code implementations • 30 Oct 2017 • Viviana Cotik, Darío Filippo, Roland Roller, Hans Uszkoreit, Feiyu Xu
This paper presents a new annotated corpus of 513 anonymized radiology reports written in Spanish.
no code implementations • RANLP 2017 • Philippe Thomas, Johannes Kirschnick, Leonhard Hennig, Renlong Ai, Sven Schmeier, Holmer Hemsen, Feiyu Xu, Hans Uszkoreit
We also present promising experimental results for the event extraction component of our system, which recognizes a novel set of event types.
no code implementations • RANLP 2017 • Viviana Cotik, Dar{\'\i}o Filippo, Rol Roller, , Hans Uszkoreit, Feiyu Xu
For this reason we performed a manual annotation of radiology reports written in Spanish.
no code implementations • SEMEVAL 2017 • Kathrin Eichler, Feiyu Xu, Hans Uszkoreit, Sebastian Krause
A common approach is to exploit existing knowledge to learn linguistic patterns expressing the target relation and use these patterns for extracting new relation mentions.
no code implementations • EACL 2017 • Hans Uszkoreit, Aleks Gabryszak, ra, Leonhard Hennig, J{\"o}rg Steffen, Renlong Ai, Stephan Busemann, Jon Dehdari, Josef van Genabith, Georg Heigold, Nils Rethmeier, Raphael Rubino, Sven Schmeier, Philippe Thomas, He Wang, Feiyu Xu
Web debates play an important role in enabling broad participation of constituencies in social, political and economic decision-taking.
no code implementations • WS 2016 • Viviana Cotik, Rol Roller, , Feiyu Xu, Hans Uszkoreit, Klemens Budde, Danilo Schmidt
This work presents a system for detecting mentions of clinical findings that are negated or just speculated.
no code implementations • WS 2016 • Rol Roller, , Hans Uszkoreit, Feiyu Xu, Laura Seiffe, Michael Mikhailov, Oliver Staeck, Klemens Budde, Fabian Halleck, Danilo Schmidt
In this work we present a fine-grained annotation schema to detect named entities in German clinical data of chronically ill patients with kidney diseases.
no code implementations • 2 Sep 2016 • Shinichi Nakajima, Sebastian Krause, Dirk Weissenborn, Sven Schmeier, Nico Goernitz, Feiyu Xu
In relation extraction, a key process is to obtain good detectors that find relevant sentences describing the target relation.
no code implementations • ACL 2016 • Leonhard Hennig, Philippe Thomas, Renlong Ai, Johannes Kirschnick, He Wang, Jakob Pannier, Nora Zimmermann, Sven Schmeier, Feiyu Xu, Jan Ostwald, Hans Uszkoreit
no code implementations • LREC 2016 • Aleks Gabryszak, ra, Sebastian Krause, Leonhard Hennig, Feiyu Xu, Hans Uszkoreit
Recent research shows the importance of linking linguistic knowledge resources for the creation of large-scale linguistic data.
no code implementations • LREC 2016 • Kathrin Eichler, Feiyu Xu, Hans Uszkoreit, Leonhard Hennig, Sebastian Krause
Some express a relation that entails the target relation.
no code implementations • LREC 2014 • Hans-Ulrich Krieger, Christian Spurk, Hans Uszkoreit, Feiyu Xu, Yi Zhang, Frank M{\"u}ller, Thomas Tolxdorff
In this paper, we report on first attempts and findings to analyzing German patient records, using a hybrid parsing architecture and a combination of two relation extraction strategies.
no code implementations • LREC 2014 • Hong Li, Sebastian Krause, Feiyu Xu, Hans Uszkoreit, Robert Hummel, Veselina Mironova
The current corpus is already in active use in our research for evaluation of the relation extraction performance of our automatically learned extraction patterns.
no code implementations • LREC 2014 • Sebastian Krause, Hong Li, Feiyu Xu, Hans Uszkoreit, Robert Hummel, Luise Spielhagen
In this paper, we present a novel combination of two types of language resources dedicated to the detection of relevant relations (RE) such as events or facts across sentence boundaries.
no code implementations • LREC 2014 • Renlong Ai, Marcela Charfuelan, Walter Kasper, Tina Kl{\"u}wer, Hans Uszkoreit, Feiyu Xu, S Gasber, ra, Gien, Philip t
Modern language learning courses are no longer exclusively based on books or face-to-face lectures.
no code implementations • LREC 2012 • Hong Li, Xiwen Cheng, Kristina Adson, Tal Kirshboim, Feiyu Xu
This paper presents an approach to construction of an annotated corpus for German political news for the opinion mining task.
no code implementations • LREC 2012 • Tina Kluewer, Feiyu Xu, Peter Adolphs, Hans Uszkoreit
The paper describes the evaluation of the KomParse system.