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20132026
most citedOptimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks

266 citations · 1.8k across the 115 of their papers we have counts for

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Showing 2018Show all

15 papers · 1 filter

cs.AI2018

Challenges in the Automatic Analysis of Students' Diagnostic Reasoning

Claudia Schulz, Christian M. Meyer, Michael Sailer +5

Diagnostic reasoning is a key component of many professions. To improve students' diagnostic reasoning skills, educational psychologists analyse and give feedback on epistemic acti…

cs.CL2018★ 1 cited

A Bayesian Approach for Sequence Tagging with Crowds

Edwin Simpson, Iryna Gurevych

Current methods for sequence tagging, a core task in NLP, are data hungry, which motivates the use of crowdsourcing as a cheap way to obtain labelled data. However, annotators are…

cs.IR2018★ 10 cited

UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification

Andreas Hanselowski, Hao Zhang, Zile Li +4

The Fact Extraction and VERification (FEVER) shared task was launched to support the development of systems able to verify claims by extracting supporting or refuting facts from ra…

cs.CL2018★ 6 cited

APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning

Yang Gao, Christian M. Meyer, Iryna Gurevych

We propose a method to perform automatic document summarisation without using reference summaries. Instead, our method interactively learns from users' preferences. The merit of pr…

cs.CL2018★ 57 cited

Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering

Daniil Sorokin, Iryna Gurevych

The most approaches to Knowledge Base Question Answering are based on semantic parsing. In this paper, we address the problem of learning vector representations for complex semanti…

cs.CL2018★ 18 cited

Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!

Steffen Eger, Johannes Daxenberger, Christian Stab +1

Argumentation mining (AM) requires the identification of complex discourse structures and has lately been applied with success monolingually. In this work, we show that the existin…