Generating Pattern-Based Entailment Graphs for Relation Extraction

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.

Knowledge Base Population Natural Language Inference +2

TEG-REP: A corpus of Textual Entailment Graphs based on Relation Extraction Patterns

no code implementations • LREC 2016 • Kathrin Eichler, Feiyu Xu, Hans Uszkoreit, Leonhard Hennig, Sebastian Krause

Some express a relation that entails the target relation.

Natural Language Inference Relation +1

Multi-Level Alignments As An Extensible Representation Basis for Textual Entailment Algorithms

no code implementations • SEMEVAL 2015 • Tae-Gil Noh, Sebastian Pad{\'o}, Vered Shwartz, Ido Dagan, Vivi Nastase, Kathrin Eichler, Lili Kotlerman, Meni Adler

Natural Language Inference Question Answering +1

An analysis of textual inference in German customer emails

no code implementations • SEMEVAL 2014 • Kathrin Eichler, Aleks Gabryszak, ra, G{\"u}nter Neumann

Natural Language Inference Semantic Textual Similarity

The Excitement Open Platform for Textual Inferences

no code implementations • ACL 2014 • Bernardo Magnini, Roberto Zanoli, Ido Dagan, Kathrin Eichler, Guenter Neumann, Tae-Gil Noh, Sebastian Pado, Asher Stern, Omer Levy

Machine Translation Natural Language Inference