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Putting words in context: LSTM language models and lexical ambiguity

Putting words in context: LSTM language models and lexical ambiguity

12 June 2019
Laura Aina
Kristina Gulordava
Gemma Boleda
ArXivPDFHTML

Papers citing "Putting words in context: LSTM language models and lexical ambiguity"

5 / 5 papers shown
Title
Investigating semantic subspaces of Transformer sentence embeddings
  through linear structural probing
Investigating semantic subspaces of Transformer sentence embeddings through linear structural probing
Dmitry Nikolaev
Sebastian Padó
46
5
0
18 Oct 2023
Measuring Context-Word Biases in Lexical Semantic Datasets
Measuring Context-Word Biases in Lexical Semantic Datasets
Qianchu Liu
Diana McCarthy
Anna Korhonen
31
2
0
13 Dec 2021
Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and
  Partitionability into Senses
Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and Partitionability into Senses
Aina Garí Soler
Marianna Apidianaki
MILM
209
68
0
29 Apr 2021
Analysis and Evaluation of Language Models for Word Sense Disambiguation
Analysis and Evaluation of Language Models for Word Sense Disambiguation
Daniel Loureiro
Kiamehr Rezaee
Mohammad Taher Pilehvar
Jose Camacho-Collados
18
13
0
26 Aug 2020
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 May 2018
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