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Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
Learning scientific document representations can be substantially improved through contrastive learning objectives, where the challenge …
Malte Ostendorff
,
Nils Rethmeier
,
Isabelle Augenstein
,
Bela Gipp
,
Georg Rehm
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DOI
Towards Automated Dialog Personalization using MBTI Personality Indicators
As conversational interfaces mature in both capacity and usage, the need to personalize towards specific user characteristics becomes …
Daniel Fernau
,
Stefan Hillmann
,
Nils Feldhus
,
Tim Polzehl
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DOI
Towards Personality-aware Chatbots
Chatbots are increasingly used to automate operational processes in customer service. However, most chatbots lack adaptation towards …
Daniel Fernau
,
Stefan Hillmann
,
Nils Feldhus
,
Tim Polzehl
,
Sebastian Möller
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A Linguistically Motivated Test Suite to Semi-Automatically Evaluate German–English Machine Translation Output
This paper presents a fine-grained test suite for the language pair German–English. The test suite is based on a number of …
Vivien Macketanz
,
Eleftherios Avramidis
,
Aljoscha Burchardt
,
He Wang
,
Renlong Ai
,
Shushen Manakhimova
,
Ursula Strohriegel
,
Sebastian Möller
,
Hans Uszkoreit
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An Annotated Corpus of Textual Explanations for Clinical Decision Support
In recent years, machine learning for clinical decision support has gained more and more attention. In order to introduce such …
Roland Roller
,
Aljoscha Burchardt
,
Nils Feldhus
,
Laura Seiffe
,
Klemens Budde
,
Simon Ronicke
,
Bilgin Osmanodja
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Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective
In this work, we present the first corpus for German Adverse Drug Reaction (ADR) detection in patient-generated content. The data …
Lisa Raithel
,
Philippe Thomas
,
Roland Roller
,
Oliver Sapina
,
Sebastian Möller
,
Pierre Zweigenbaum
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Generating Extended and Multilingual Summaries with Pre-trained Transformers
Almost all summarisation methods and datasets focus on a single language and short summaries. We introduce a new dataset called …
Rémi Calizzano
,
Malte Ostendorff
,
Qian Ruan
,
Georg Rehm
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MobASA: Corpus for Aspect-based Sentiment Analysis and Social Inclusion in the Mobility Domain
In this paper we show how aspect-based sentiment analysis might help public transport companies to improve their social responsibility …
Aleksandra Gabryszak
,
Philippe Thomas
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Project
Subjective Text Complexity Assessment for German
For different reasons, text can be difficult to read and understand for many people, especially if the text’s language is too complex. …
Laura Seiffe
,
Fares Kallel
,
Sebastian Möller
,
Babak Naderi
,
Roland Roller
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Mediators: Conversational Agents Explaining NLP Model Behavior
The human-centric explainable artificial intelligence (HCXAI) community has raised the need for framing the explanation process as a …
Nils Feldhus
,
Ajay Madhavan Ravichandran
,
Sebastian Möller
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