33 citations · 45 across the 40 of their papers we have counts for
5 papers · 1 filter
Sentence Ambiguity, Grammaticality and Complexity Probes
Sunit Bhattacharya, Vilém Zouhar, Ondřej Bojar
It is unclear whether, how and where large pre-trained language models capture subtle linguistic traits like ambiguity, grammaticality and sentence complexity. We present results o…
Fusing Sentence Embeddings Into LSTM-based Autoregressive Language Models
Vilém Zouhar, Marius Mosbach, Dietrich Klakow
Although masked language models are highly performant and widely adopted by NLP practitioners, they can not be easily used for autoregressive language modelling (next word predicti…
Knowledge Base Index Compression via Dimensionality and Precision Reduction
Vilém Zouhar, Marius Mosbach, Miaoran Zhang +1
Recently neural network based approaches to knowledge-intensive NLP tasks, such as question answering, started to rely heavily on the combination of neural retrievers and readers.…
EMMT: A simultaneous eye-tracking, 4-electrode EEG and audio corpus for multi-modal reading and translation scenarios
Sunit Bhattacharya, Věra Kloudová, Vilém Zouhar +1
We present the Eyetracked Multi-Modal Translation (EMMT) corpus, a dataset containing monocular eye movement recordings, audio and 4-electrode electroencephalogram (EEG) data of 43…
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access
Vilém Zouhar, Marius Mosbach, Debanjali Biswas +1
Many NLP models gain performance by having access to a knowledge base. A lot of research has been devoted to devising and improving the way the knowledge base is accessed and incor…