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Found 11 papers, 7 papers with code
ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns’ Semantic Properties and their Prototypicality
Large scale language models encode rich commonsense knowledge acquired through exposure to massive data during pre-training, but their understanding of entities and their semantic properties is unclear.
Polysemy in Spoken Conversations and Written Texts
Our discourses are full of potential lexical ambiguities, due in part to the pervasive use of words having multiple senses.
One Word, Two Sides: Traces of Stance in Contextualized Word Representations
The way we use words is influenced by our opinion.
The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations
When deriving contextualized word representations from language models, a decision needs to be made on how to obtain one for out-of-vocabulary (OOV) words that are segmented into subwords.
ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns' Semantic Properties and their Prototypicality
Large scale language models encode rich commonsense knowledge acquired through exposure to massive data during pre-training, but their understanding of entities and their semantic properties is unclear.
Scalar Adjective Identification and Multilingual Ranking
The intensity relationship that holds between scalar adjectives (e. g., nice < great < wonderful) is highly relevant for natural language inference and common-sense reasoning.
Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and Partitionability into Senses
Pre-trained language models (LMs) encode rich information about linguistic structure but their knowledge about lexical polysemy remains unclear.
BERT Knows Punta Cana is not just beautiful, it's gorgeous: Ranking Scalar Adjectives with Contextualised Representations
Adjectives like pretty, beautiful and gorgeous describe positive properties of the nouns they modify but with different intensity.
MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical Meaning
Our best English models occupy the third and fourth positions in the ranking for the two subtasks.
Exploring sentence informativeness
This study is a preliminary exploration of the concept of informativeness -how much information a sentence gives about a word it contains- and its potential benefits to building quality word representations from scarce data.
Word Usage Similarity Estimation with Sentence Representations and Automatic Substitutes
Usage similarity estimation addresses the semantic proximity of word instances in different contexts.
