| Challenge: | Compositional solutions for phrase sentiment are not able to handle idioms because their sentiment is not derived from the sentiment of the individual words. |
| Approach: | They propose a crowdsourcing approach for collecting sentiment annotations of idiomatic expressions using crowdsourcing. |
| Outcome: | The proposed approach is able to capture sentiment strength and ambiguity in idiomatic expressions using crowdsourcing. |
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IDEM: The IDioms with EMotions Dataset for Emotion Recognition (2024.lrec-main)
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Alexander Prochnow, Johannes E. Bendler, Caroline Lange, Foivos Ioannis Tzavellos, Bas Marco Göritzer, Marijn ten Thij, Riza Batista-Navarro
| Challenge: | idiomatic expressions are used in everyday language and typically convey affect, i.e., emotion. |
| Approach: | They present a dataset of idiom-containing sentences that were generated and labelled with any one of 36 emotion types using a generative language model. |
| Outcome: | The proposed method achieves an agreement rate of 62% on the IDioms with EMotions dataset, with human validation by two independent annotators. |
MAGPIE: A Large Corpus of Potentially Idiomatic Expressions (2020.lrec-1)
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| Challenge: | Existing corpora cover less than 5,000 instances of less than 100 different idiom types . large corpus allows for better evaluation of assumptions about idiomatic expressions . |
| Approach: | They propose to build the largest-to-date corpus of idioms for English using crowdsourcing methods. |
| Outcome: | The proposed corpus is larger than existing resources and contains rich metadata and is made publicly available. |
Beyond Multiword Expressions: Processing Idioms and Metaphors (P18-5)
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| Challenge: | idioms and metaphors processing is a rapidly growing area in NLP, says dr. s. robertson . idiomatic idiomas are characteristic to all areas of human activity and to all types of discourse. |
| Approach: | This tutorial will provide attendees with a clear notion of idioms and metaphors . it will provide them with computational models of linguistic characteristics and methods . |
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Examining the Tip of the Iceberg: A Data Set for Idiom Translation (L18-1)
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| Challenge: | Neural Machine Translation (NMT) has been widely used in recent years with significant improvements for many language pairs. |
| Approach: | They propose to use a large-scale data set to evaluate idiom translation in GermanEnglish. |
| Outcome: | The proposed dataset is used to perform preliminary NMT experiments on idiom translation in GermanEnglish. |
ID10M: Idiom Identification in 10 Languages (2022.findings-naacl)
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| Challenge: | Identifying and understanding idioms in context is a key goal and challenge in Natural Language Understanding tasks. |
| Approach: | They propose a multilingual Transformer-based system for the identification of idioms and a manually-curated evaluation benchmark. |
| Outcome: | The proposed system performs well in 10 languages and is released on github. |
No more beating about the bush : A Step towards Idiom Handling for Indian Language NLP (L18-1)
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| Challenge: | idioms are a part of natural language and are difficult to learn with a parallel corpora database. |
| Approach: | They propose to use a parallel idiom dataset to train two NLP subtasks . they show significant improvement in the two subtask training without the idiomatic dataset . |
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Potential Idiomatic Expression (PIE)-English: Corpus for Classes of Idioms (2022.lrec-1)
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Tosin Adewumi, Roshanak Vadoodi, Aparajita Tripathy, Konstantina Nikolaido, Foteini Liwicki, Marcus Liwicki
| Challenge: | Potential Idiomatic Expression (PIE) dataset for NLP in English contains over 20,100 samples with almost 1,200 cases of idioms from 10 classes (or senses). |
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Idiomatic Expression Identification using Semantic Compatibility (2021.tacl-1)
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| Challenge: | Existing approaches to localize idiomatic expressions have limited views of their generalizability to new idioms. |
| Approach: | They propose a multi-stage neural architecture to detect whether a sentence has an idiomatic expression and localize it when it occurs in a figurative sense. |
| Outcome: | The proposed model achieves state-of-the-art on three of the largest datasets with idiomatic expressions of varied syntactic patterns and degrees of non-compositionality. |
Odi et Amo. Creating, Evaluating and Extending Sentiment Lexicons for Latin. (2020.lrec-1)
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| Challenge: | a new paper aims to provide sentiment analysis tools for ancient languages . the current sentiment analysis resources only cover modern languages based on textual typologies . |
| Approach: | They propose to use manually-curated Latin lexicons to evaluate sentiment analysis tools . they propose a gold standard and a silver standard for evaluating lexical items . |
| Outcome: | The proposed lexicons are evaluated using a gold standard and a silver standard for sentiment analysis. |
A Thesaurus-based Sentiment Lexicon for Danish: The Danish Sentiment Lexicon (2022.lrec-1)
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| Challenge: | a newly published Danish sentiment lexicon with a high lexical coverage was compiled using lexicographic methods and linked data. |
| Approach: | They propose to use lexicographic methods to compile a Danish sentiment lexicon with a high lexical coverage by linking words from a thesaurus to a comprehensive monolingual dictionary. |
| Outcome: | The proposed lexicon contains 13,859 Danish polarity lemmas and includes morphological information. |