activity
20162026
most citedSemantic Tagging with Deep Residual Networks

62 citations · 146 across the 49 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CL2020

SIGTYP 2020 Shared Task: Prediction of Typological Features

Johannes Bjerva, Elizabeth Salesky, Sabrina J. Mielke +6

Typological knowledge bases (KBs) such as WALS (Dryer and Haspelmath, 2013) contain information about linguistic properties of the world's languages. They have been shown to be use…

cs.CL2020

Unsupervised Evaluation for Question Answering with Transformers

Lukas Muttenthaler, Isabelle Augenstein, Johannes Bjerva

It is challenging to automatically evaluate the answer of a QA model at inference time. Although many models provide confidence scores, and simple heuristics can go a long way towa…

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

SubjQA: A Dataset for Subjectivity and Review Comprehension

Johannes Bjerva, Nikita Bhutani, Behzad Golshan +2

Subjectivity is the expression of internal opinions or beliefs which cannot be objectively observed or verified, and has been shown to be important for sentiment analysis and word-…

cs.CL2020

Zero-Shot Cross-Lingual Transfer with Meta Learning

Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva +1

Learning what to share between tasks has been a topic of great importance recently, as strategic sharing of knowledge has been shown to improve downstream task performance. This is…