activity
20122023
most citedConcatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations

85 citations · 533 across the 53 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CL2020

Probing Multilingual BERT for Genetic and Typological Signals

Taraka Rama, Lisa Beinborn, Steffen Eger

We probe the layers in multilingual BERT (mBERT) for phylogenetic and geographic language signals across 100 languages and compute language distances based on the mBERT representat…

cs.CL2020

Vec2Sent: Probing Sentence Embeddings with Natural Language Generation

Martin Kerscher, Steffen Eger

We introspect black-box sentence embeddings by conditionally generating from them with the objective to retrieve the underlying discrete sentence. We perceive of this as a new unsu…

cs.CL2020★ 4 cited

From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks

Steffen Eger, Yannik Benz

Adversarial attacks are label-preserving modifications to inputs of machine learning classifiers designed to fool machines but not humans. Natural Language Processing (NLP) has mos…

cs.CL2020★ 16 cited

Inducing Language-Agnostic Multilingual Representations

Wei Zhao, Steffen Eger, Johannes Bjerva +1

Cross-lingual representations have the potential to make NLP techniques available to the vast majority of languages in the world. However, they currently require large pretraining…

cs.CL2020★ 4 cited

On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation

Wei Zhao, Goran Glavaš, Maxime Peyrard +3

Evaluation of cross-lingual encoders is usually performed either via zero-shot cross-lingual transfer in supervised downstream tasks or via unsupervised cross-lingual textual simil…

cs.CL2020★ 14 cited

SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization

Yang Gao, Wei Zhao, Steffen Eger

We study unsupervised multi-document summarization evaluation metrics, which require neither human-written reference summaries nor human annotations (e.g. preferences, ratings, etc…

cs.CL2020★ 9 cited

PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry

Thomas Haider, Steffen Eger, Evgeny Kim +2

Most approaches to emotion analysis of social media, literature, news, and other domains focus exclusively on basic emotion categories as defined by Ekman or Plutchik. However, art…