| Challenge: | ideological attitudes and stance are often expressed through subtle meanings of words and phrases. |
| Approach: | They propose a method for lexical representations that capture connotations within the embedding space . they define six new fine-grained connotation aspects for nouns and adjectives . |
| Outcome: | The proposed method improves stance detection when data is limited. |
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| Challenge: | Existing paradigms for propositional analysis use stances and concerns to generate explanatory representations. |
| Approach: | They propose a generalized paradigm for adaptation of propositional analysis to new tasks and domains by using an analogy between stances and concerns. |
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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 . |
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Human Rationales as Attribution Priors for Explainable Stance Detection (2021.emnlp-main)
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| Challenge: | In this work, we present a method for imparting human-like rationalization to a stance detection model using crowdsourced annotations on a small fraction of the training data. |
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Abstract Meaning Representation of Constructions: The More We Include, the Better the Representation (L18-1)
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Claire Bonial, Bianca Badarau, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Tim O’Gorman, Martha Palmer, Nathan Schneider
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| Challenge: | Recent work on Word-in-Context fine-tunes models to investigate lexical meaning but only compares occurrences of the same lemma, limiting the range of captured information. |
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Contextualized Word Representations from Distant Supervision with and for NER (D19-55)
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| Challenge: | a new task is needed to understand the interaction between entities when inferring stances. |
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Dynamic Stance: Modeling Discussions by Labeling the Interactions (2023.findings-emnlp)
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| Challenge: | Stance detection is a popular task that has been modeled as a static task, but its limitations are strong topic-dependent. |
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Cross-Domain Label-Adaptive Stance Detection (2021.emnlp-main)
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| Challenge: | Stance detection is a task that focuses on the classification of a writer’s viewpoint towards a target. |
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Better Combine Them Together! Integrating Syntactic Constituency and Dependency Representations for Semantic Role Labeling (2021.findings-acl)
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| Challenge: | Existing studies use only one singleton syntax for semantic role labeling (SRL). |
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