Hagen Fürstenau


2017

pdf bib
A Shared Task on Bandit Learning for Machine Translation
Artem Sokolov | Julia Kreutzer | Kellen Sunderland | Pavel Danchenko | Witold Szymaniak | Hagen Fürstenau | Stefan Riezler
Proceedings of the Second Conference on Machine Translation

2012

pdf bib
Semi-Supervised Semantic Role Labeling via Structural Alignment
Hagen Fürstenau | Mirella Lapata
Computational Linguistics, Volume 38, Issue 1 - March 2012

pdf bib
Unsupervised Induction of a Syntax-Semantics Lexicon Using Iterative Refinement
Hagen Fürstenau | Owen Rambow
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)

pdf bib
The Dependency-Parsed FrameNet Corpus
Daniel Bauer | Hagen Fürstenau | Owen Rambow
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

When training semantic role labeling systems, the syntax of example sentences is of particular importance. Unfortunately, for the FrameNet annotated sentences, there is no standard parsed version. The integration of the automatic parse of an annotated sentence with its semantic annotation, while conceptually straightforward, is complex in practice. We present a standard dataset that is publicly available and that can be used in future research. This dataset contains parser-generated dependency structures (with POS tags and lemmas) for all FrameNet 1.5 sentences, with nodes automatically associated with FrameNet annotations.

2011

pdf bib
Robust Disambiguation of Named Entities in Text
Johannes Hoffart | Mohamed Amir Yosef | Ilaria Bordino | Hagen Fürstenau | Manfred Pinkal | Marc Spaniol | Bilyana Taneva | Stefan Thater | Gerhard Weikum
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing

pdf bib
Word Meaning in Context: A Simple and Effective Vector Model
Stefan Thater | Hagen Fürstenau | Manfred Pinkal
Proceedings of 5th International Joint Conference on Natural Language Processing

2010

pdf bib
Contextualizing Semantic Representations Using Syntactically Enriched Vector Models
Stefan Thater | Hagen Fürstenau | Manfred Pinkal
Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics

2009

pdf bib
Graph Alignment for Semi-Supervised Semantic Role Labeling
Hagen Fürstenau | Mirella Lapata
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing

pdf bib
Semi-Supervised Semantic Role Labeling
Hagen Fürstenau | Mirella Lapata
Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009)

2008

pdf bib
Enriching Frame Semantic Resources with Dependency Graphs
Hagen Fürstenau
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

We propose two general and robust methods for enriching resources annotated in the Frame Semantic paradigm with syntactic dependency graphs, which can provide useful additional information for applications such as semantic role labeling methods. One method incorporates information of a dependency parser, while the other one assumes the resource to be based on a treebank and uses dependency graphs converted from phrase structure trees. Coverage and accuracy of the methods are evaluated on the English FrameNet and German SALSA corpora. It is shown that large proportions of those resources can be accurately enriched by mapping their annotations onto dependency graphs. Failures to do so are found to be largely due to parser errors and can therefore be seen as an indicator of incorrect parses, which helps to improve parse selection. The remaining failures are analyzed and an outlook on ways of improving the results by adaptation to specific resources is given.