161 citations · 205 across the 17 of their papers we have counts for
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cs.CL2021★ 161 cited
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min, Hayley Ross, Elior Sulem +6
Large, pre-trained transformer-based language models such as BERT have drastically changed the Natural Language Processing (NLP) field. We present a survey of recent work that uses…
cs.CL2021★ 1 cited
Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction
Oscar Sainz, Oier Lopez de Lacalle, Gorka Labaka +2
Relation extraction systems require large amounts of labeled examples which are costly to annotate. In this work we reformulate relation extraction as an entailment task, with simp…
cs.CL2021★ 11 cited
Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models
Oscar Sainz, German Rigau
In this paper we present a system that exploits different pre-trained Language Models for assigning domain labels to WordNet synsets without any kind of supervision. Furthermore, t…