Papers by Aina Garí Soler
Toward the Automatic Detection of Word Meaning Negotiation Indicators in Conversation (2025.findings-emnlp)
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| Challenge: | Word Meaning Negotiations (WMN) are sequences in conversation where speakers collectively discuss and shape word meaning. |
| Approach: | They propose to detect WMN indicators in conversations where a speaker signals the need to clarify or challenge word meaning. |
| Outcome: | The proposed models have better precision than previous regular expression based approaches and show some generalization abilities, but have moderate recall. |
BERT Knows Punta Cana is not just beautiful, it’s gorgeous: Ranking Scalar Adjectives with Contextualised Representations (2020.emnlp-main)
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| Challenge: | Adjectives describe positive properties of nouns but with different intensity. |
| Approach: | They propose a BERT-based approach to intensity detection for scalar adjectives by generating vectors directly from contextualised representations. |
| Outcome: | The proposed model outperforms static embeddings and previous models with dedicated resources on an Indirect Question Answering task. |
Let’s Play Mono-Poly: BERT Can Reveal Words’ Polysemy Level and Partitionability into Senses (2021.tacl-1)
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| Challenge: | Pre-trained language models encode rich information about linguistic structure but their knowledge about lexical polysemy remains unclear. |
| Approach: | They propose a setup for analyzing lexical polysemy knowledge in pre-trained language models and multilingual BERT models by analyzing different sense distributions and controlling for parameters that are highly correlated with polysyntax. |
| Outcome: | The proposed model can be used to analyze lexical polysemy in English, French, Spanish, and Greek and in multilingual BERT. |
One Word, Two Sides: Traces of Stance in Contextualized Word Representations (2022.coling-1)
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| Challenge: | a Lexical Semantic Change study examines the way we use words . it focuses on the use of words by people who disagree on a particular topic . |
| Approach: | They examine whether word embeddings reflect the way we use words . they use BERT embeddables from datasets with stance annotations to examine this question . |
| Outcome: | The results show that people with opposing stances use different words when talking about a topic . the results are not related to studies that investigate the usage of specific words across different viewpoints. |
Scalar Adjective Identification and Multilingual Ranking (2021.naacl-main)
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| Challenge: | Existing studies on scalar adjective ranking have focused on English due to the availability of datasets for evaluation. |
| Approach: | They propose a binary classification task to examine the models’ ability to distinguish scalar from relational adjectives in English. |
| Outcome: | The proposed task compares the models' ability to distinguish scalar from relational adjectives in English using monolingual and multilingual models. |
Polysemy in Spoken Conversations and Written Texts (2022.lrec-1)
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| Challenge: | a recent study examined the use of polysemous words in discourses . a lexical ambiguity is a result of the use and use of multiple senses in a text . |
| Approach: | They propose a "one sense per discourse" hypothesis to explain the use of polysemous words in discourses . they compare the polysesty level of spoken dialogs with spoken dialog . |
| Outcome: | The proposed "one sense per discourse" hypothesis is not valid in all texts. |