activity
20182020
most citedA Retrospective Analysis of the Fake News Challenge Stance Detection Task

68 citations · 153 across the 11 of their papers we have counts for

collaborators

14 papers

cs.CL2020

Empowering Active Learning to Jointly Optimize System and User Demands

Ji-Ung Lee, Christian M. Meyer, Iryna Gurevych

Existing approaches to active learning maximize the system performance by sampling unlabeled instances for annotation that yield the most efficient training. However, when active l…

cs.CL2019★ 1 cited

When is ACL's Deadline? A Scientific Conversational Agent

Mohsen Mesgar, Paul Youssef, Lin Li +4

Our conversational agent UKP-ATHENA assists NLP researchers in finding and exploring scientific literature, identifying relevant authors, planning or post-processing conference vis…

cs.CL2019★ 20 cited

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

Wei Zhao, Maxime Peyrard, Fei Liu +3

A robust evaluation metric has a profound impact on the development of text generation systems. A desirable metric compares system output against references based on their semantic…

cs.CL2019★ 8 cited

Better Rewards Yield Better Summaries: Learning to Summarise Without References

Florian Böhm, Yang Gao, Christian M. Meyer +3

Reinforcement Learning (RL) based document summarisation systems yield state-of-the-art performance in terms of ROUGE scores, because they directly use ROUGE as the rewards during…

cs.CL2019

FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning

Jonas Pfeiffer, Christian M. Meyer, Claudia Schulz +7

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. Diag…

cs.CL2019★ 2 cited

Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation

Yang Gao, Christian M. Meyer, Mohsen Mesgar +1

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 sum…

cs.CL2019

Manipulating the Difficulty of C-Tests

Ji-Ung Lee, Erik Schwan, Christian M. Meyer

We propose two novel manipulation strategies for increasing and decreasing the difficulty of C-tests automatically. This is a crucial step towards generating learner-adaptive exerc…

cs.CL2019★ 6 cited

Preference-based Interactive Multi-Document Summarisation

Yang Gao, Christian M. Meyer, Iryna Gurevych

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 applie…

cs.CL2019

Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains

Claudia Schulz, Christian M. Meyer, Jan Kiesewetter +5

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 th…

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★ 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.IR2018★ 68 cited

A Retrospective Analysis of the Fake News Challenge Stance Detection Task

Andreas Hanselowski, Avinesh PVS, Benjamin Schiller +4

The 2017 Fake News Challenge Stage 1 (FNC-1) shared task addressed a stance classification task as a crucial first step towards detecting fake news. To date, there is no in-depth a…

cs.CL2018★ 41 cited

RUSSE: The First Workshop on Russian Semantic Similarity

Alexander Panchenko, Natalia Loukachevitch, Dmitry Ustalov +3

The paper gives an overview of the Russian Semantic Similarity Evaluation (RUSSE) shared task held in conjunction with the Dialogue 2015 conference. There exist a lot of comparativ…

cs.CL2018★ 1 cited

Live Blog Corpus for Summarization

Avinesh P. V. S., Maxime Peyrard, Christian M. Meyer

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…