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Hagen Fürstenau
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2020 – today
- 2021
- [c11]Anoop R. Katti, Kai Hui, Adrià de Gispert, Hagen Fürstenau:
Question Answering using Web Lists. CIKM 2021: 3132-3136
2010 – 2019
- 2017
- [c10]Artem Sokolov, Julia Kreutzer, Kellen Sunderland, Pavel Danchenko, Witold Szymaniak, Hagen Fürstenau, Stefan Riezler:
A Shared Task on Bandit Learning for Machine Translation. WMT 2017: 514-524 - [i1]Artem Sokolov, Julia Kreutzer, Kellen Sunderland, Pavel Danchenko, Witold Szymaniak, Hagen Fürstenau, Stefan Riezler:
A Shared Task on Bandit Learning for Machine Translation. CoRR abs/1707.09050 (2017) - 2012
- [j1]Hagen Fürstenau, Mirella Lapata:
Semi-Supervised Semantic Role Labeling via Structural Alignment. Comput. Linguistics 38(1): 135-171 (2012) - [c9]Daniel Bauer, Hagen Fürstenau, Owen Rambow:
The Dependency-Parsed FrameNet Corpus. LREC 2012: 3861-3867 - [c8]Hagen Fürstenau, Owen Rambow:
Unsupervised Induction of a Syntax-Semantics Lexicon Using Iterative Refinement. *SEM@NAACL-HLT 2012: 180-188 - 2011
- [c7]Johannes Hoffart, Mohamed Amir Yosef, Ilaria Bordino, Hagen Fürstenau, Manfred Pinkal, Marc Spaniol, Bilyana Taneva, Stefan Thater, Gerhard Weikum:
Robust Disambiguation of Named Entities in Text. EMNLP 2011: 782-792 - [c6]Stefan Thater, Hagen Fürstenau, Manfred Pinkal:
Word Meaning in Context: A Simple and Effective Vector Model. IJCNLP 2011: 1134-1143 - 2010
- [c5]Stefan Thater, Hagen Fürstenau, Manfred Pinkal:
Contextualizing Semantic Representations Using Syntactically Enriched Vector Models. ACL 2010: 948-957
2000 – 2009
- 2009
- [c4]Hagen Fürstenau, Mirella Lapata:
Semi-Supervised Semantic Role Labeling. EACL 2009: 220-228 - [c3]Hagen Fürstenau, Mirella Lapata:
Graph Alignment for Semi-Supervised Semantic Role Labeling. EMNLP 2009: 11-20 - 2008
- [c2]Hagen Fürstenau:
Enriching Frame Semantic Resources with Dependency Graphs. LREC 2008 - 2007
- [c1]Irene M. Cramer, Barbara Rauch, Hagen Fürstenau, Dan Shen, Maria Staudte:
Predicting Classification Decisions with Data Point Based Meta-learning. MLDM Posters 2007: 211-215
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