Sebastian Martschat

According to our database1, Sebastian Martschat authored at least 11 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Multi-Source (Pre-)Training for Cross-Domain Measurement, Unit and Context Extraction.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2018
A Temporally Sensitive Submodularity Framework for Timeline Summarization.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

2017
Structured Representations for Coreference Resolution
PhD thesis, 2017

Dynamic Entity Representations in Neural Language Models.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Improving ROUGE for Timeline Summarization.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2015
Latent Structures for Coreference Resolution.
Trans. Assoc. Comput. Linguistics, 2015

Analyzing and Visualizing Coreference Resolution Errors.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Plug Latent Structures and Play Coreference Resolution.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Recall Error Analysis for Coreference Resolution.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Multigraph Clustering for Unsupervised Coreference Resolution.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
A Multigraph Model for Coreference Resolution.
Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012


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