SIA: A Scalable Interoperable Annotation Server for Biomedical Named Entities

1 code implementation • 8 Apr 2020 • Johannes Kirschnick, Philippe Thomas, Roland Roller, Leonhard Hennig

Recent years showed a strong increase in biomedical sciences and an inherent increase in publication volume.

Streaming Text Analytics for Real-Time Event Recognition

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.

Entity Linking Event Extraction +2

Sharing Hash Codes for Multiple Purposes

no code implementations • 11 Sep 2016 • Wikor Pronobis, Danny Panknin, Johannes Kirschnick, Vignesh Srinivasan, Wojciech Samek, Volker Markl, Manohar Kaul, Klaus-Robert Mueller, Shinichi Nakajima

In this paper, we propose {multiple purpose LSH (mp-LSH) which shares the hash codes for different dissimilarities.

Retrieval Video Retrieval

JEDI: Joint Entity and Relation Detection using Type Inference

no code implementations • ACL 2016 • Johannes Kirschnick, Holmer Hemsen, Volker Markl

Relation Vocal Bursts Type Prediction

Real-Time Discovery and Geospatial Visualization of Mobility and Industry Events from Large-Scale, Heterogeneous Data Streams

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

Decision Making Domain Adaptation +1

A Marketplace for Web Scale Analytics and Text Annotation Services

no code implementations • COLING 2014 • Johannes Kirschnick, Torsten Kilias, Holmer Hemsen, Alex L{\"o}ser, er, Peter Adolphs, Heiko Ehrig, Holger D{\"u}wiger

text annotation

Freepal: A Large Collection of Deep Lexico-Syntactic Patterns for Relation Extraction

no code implementations • LREC 2014 • Johannes Kirschnick, Alan Akbik, Holmer Hemsen

The increasing availability and maturity of both scalable computing architectures and deep syntactic parsers is opening up new possibilities for Relation Extraction (RE) on large corpora of natural language text.

Entity Linking Relation +1

Effective Selectional Restrictions for Unsupervised Relation Extraction

no code implementations • IJCNLP 2013 • Alan Akbik, Larysa Visengeriyeva, Johannes Kirschnick, Alex L{\"o}ser, er

Relation Relation Extraction