1 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
Spectral Probing
Max Müller-Eberstein, Rob van der Goot, Barbara Plank
Linguistic information is encoded at varying timescales (subwords, phrases, etc.) and communicative levels, such as syntax and semantics. Contextualized embeddings have analogously…
Evidence > Intuition: Transferability Estimation for Encoder Selection
Elisa Bassignana, Max Müller-Eberstein, Mike Zhang +1
With the increase in availability of large pre-trained language models (LMs) in Natural Language Processing (NLP), it becomes critical to assess their fit for a specific target tas…
Probing for Labeled Dependency Trees
Max Müller-Eberstein, Rob van der Goot, Barbara Plank
Probing has become an important tool for analyzing representations in Natural Language Processing (NLP). For graphical NLP tasks such as dependency parsing, linear probes are curre…
Genre as Weak Supervision for Cross-lingual Dependency Parsing
Max Müller-Eberstein, Rob van der Goot, Barbara Plank
Recent work has shown that monolingual masked language models learn to represent data-driven notions of language variation which can be used for domain-targeted training data selec…