Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Christian M. Meyer"'
Publikováno v:
Language Resources and Evaluation. 55:33-62
Live blogs are an increasingly popular news format to cover breaking news and live events in online journalism. Online news websites around the world are using this medium to give their readers a minute by minute update on an event. Good summaries en
Publikováno v:
Information Retrieval Journal. 23:555-585
Interactive NLP is a promising paradigm to close the gap between automatic NLP systems and the human upper bound. Preference-based interactive learning has been successfully applied, but the existing methods require several thousand interaction round
Publikováno v:
AAAI
Diagnostic reasoning is a key component of many professions. To improve students’ diagnostic reasoning skills, educational psychologists analyse and give feedback on epistemic activities used by these students while diagnosing, in particular, hypot
Publikováno v:
ACL
Existing approaches to active learning maximize the system performance by sampling unlabeled instances for annotation that yield the most efficient training. However, when active learning is integrated with an end-user application, this can lead to f
Publikováno v:
IJCAI
Document summarisation can be formulated as a sequential decision-making problem, which can be solved by Reinforcement Learning (RL) algorithms. The predominant RL paradigm for summarisation learns a cross-input policy, which requires considerable ti
Publikováno v:
HILDA@SIGMOD
We present a new system for custom summarizations of large text corpora at interactive speed. The task of producing textual summaries is an important step to understand large collections of topic-related documents and has many real-world applications
Autor:
Christian M. Meyer, Carolin Müller-Spitzer, Tassja Weber, Thomas Bartz, Angelika Storrer, Sascha Wolfer, Andrea Abel
Publikováno v:
International Journal of Lexicography. 31:1-28
We present an empirical study addressing the question if and to which extent lexicographic writing aids improve text revision results. German university students were asked to optimise two German texts using (1) no aids at all, (2) highlighted proble
Autor:
Jan Kiesewetter, Iryna Gurevych, Elisabeth Bauer, Jonas Pfeiffer, Claudia Schulz, Frank Fischer, Michael Sailer, Martin R. Fischer, Christian M. Meyer, Jan M. Zottmann
Publikováno v:
EMNLP/IJCNLP (3)
Our proposed system FAMULUS helps students learn to diagnose based on automatic feedback in virtual patient simulations, and it supports instructors in labeling training data. Diagnosing is an exceptionally difficult skill to obtain but vital for man
Autor:
Christian M. Meyer, Avinesh P. V. S.
Publikováno v:
NAACL-HLT (1)
Neural sequence-to-sequence models have been successfully applied to text compression. However, these models were trained on huge automatically induced parallel corpora, which are only available for a few domains and tasks. In this paper, we propose
Autor:
Iryna Gurevych, Claudia Schulz, Michael Sailer, Jan Kiesewetter, Frank Fischer, Martin R. Fischer, Elisabeth Bauer, Christian M. Meyer
Publikováno v:
ACL (1)
Many complex discourse-level tasks can aid domain experts in their work but require costly expert annotations for data creation. To speed up and ease annotations, we investigate the viability of automatically generated annotation suggestions for such