activity
20202022
most citedLearning to Reason for Text Generation from Scientific Tables

11 citations · 13 across the 5 of their papers we have counts for

collaborators

13 papers

cs.CL20222 cited

NLP meets psychotherapy: Using predicted client emotions and self-reported client emotions to measure emotional coherence

Neha Warikoo, Tobias Mayer, Dana Atzil-Slonim +3

Emotions are experienced and expressed through various response systems. Coherence between emotional experience and emotional expression is considered important to clients' well be…

cs.CL2022

GDPR Compliant Collection of Therapist-Patient-Dialogues

Tobias Mayer, Neha Warikoo, Oliver Grimm +2

According to the Global Burden of Disease list provided by the World Health Organization (WHO), mental disorders are among the most debilitating disorders.To improve the diagnosis…

cs.CL2021

Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation

Leonardo F. R. Ribeiro, Jonas Pfeiffer, Yue Zhang +1

Recent work on multilingual AMR-to-text generation has exclusively focused on data augmentation strategies that utilize silver AMR. However, this assumes a high quality of generate…

cs.CL202111 cited

Learning to Reason for Text Generation from Scientific Tables

Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth +1

In this paper, we introduce SciGen, a new challenge dataset for the task of reasoning-aware data-to-text generation consisting of tables from scientific articles and their correspo…

cs.IR2021

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Nandan Thakur, Nils Reimers, Andreas Rücklé +2

Existing neural information retrieval (IR) models have often been studied in homogeneous and narrow settings, which has considerably limited insights into their out-of-distribution…

cs.CL2021

What to Pre-Train on? Efficient Intermediate Task Selection

Clifton Poth, Jonas Pfeiffer, Andreas Rücklé +1

Intermediate task fine-tuning has been shown to culminate in large transfer gains across many NLP tasks. With an abundance of candidate datasets as well as pre-trained language mod…