In this paper, we show that we can effectively identify the distinction between compositional and non-compositional adjective-noun pairs by using pretrained ...

In this paper, we show that we can effectively identify the distinction between compositional and non-compositional adjective-noun pairs by using pretrained ...

The results show that the use of pretrained language models significantly improves over baseline linguistic features, however the combination with ...

This is the code behind the experiments presented in "Identification of Adjective-Noun Neologisms using Pretrained Language Models" All code is in Python along ...

This paper provides brief description of Language Identification (LID) system based on phoneme recognizer followed by language models (PRLM). Tuning phoneme ...

In this paper, we show that we can effectively identify the distinction between compositional and non-compositional adjective-noun pairs by using pretrained ...

Identification of Adjective-Noun Neologisms using Pretrained Language Models. John Philip Mccrae. Show full list: 1 author. Publication type: Proceedings ...

Identification of Adjective-Noun Neologisms using Pretrained Language Models · 1 code implementation • WS 2019 • John Philip McCrae. Neologism detection is a ...

Mar 17, 2021 · Their approach uses BERT [5] and ELMo [30] in detecting whether a given adjective-noun pair is a neologism. Our work focuses on individual words ...

Identification of adjective-. 793 noun neologisms using pretrained language models. 794. In Proceedings of the Joint Workshop on Multiword. 795. Expressions and ...