85 citations · 139 across the 6 of their papers we have counts for
4 papers · 1 filter
Neural Duplicate Question Detection without Labeled Training Data
Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych
Supervised training of neural models to duplicate question detection in community Question Answering (cQA) requires large amounts of labeled question pairs, which are costly to obt…
Improving Generalization by Incorporating Coverage in Natural Language Inference
Nafise Sadat Moosavi, Prasetya Ajie Utama, Andreas Rücklé +1
The task of natural language inference (NLI) is to identify the relation between the given premise and hypothesis. While recent NLI models achieve very high performance on individu…
Pitfalls in the Evaluation of Sentence Embeddings
Steffen Eger, Andreas Rücklé, Iryna Gurevych
Deep learning models continuously break new records across different NLP tasks. At the same time, their success exposes weaknesses of model evaluation. Here, we compile several key…
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems
Steffen Eger, Gözde Gül Şahin, Andreas Rücklé +6
Visual modifications to text are often used to obfuscate offensive comments in social media (e.g., "!d10t") or as a writing style ("1337" in "leet speak"), among other scenarios. W…