Responsibility Perspective Transfer for Italian Femicide News (2023.findings-acl)
Copied to clipboard
| Challenge: | Existing work has shown that different descriptions of gender-based violence influence the reader’s perception of who is to blame for the violence. |
| Approach: | They propose to automatically rewrite GBV descriptions to alter the perceived level of blame on the perpetrator. |
| Outcome: | The proposed task alters perceived responsibility levels for perpetrators by using unsupervised, zero-shot and few-shot methods. |
Similar Papers
Dead or Murdered? Predicting Responsibility Perception in Femicide News Reports (2022.aacl-main)
Copied to clipboard
| Challenge: | linguistic expressions of gender-based violence can conceptualize the same event from different perspectives by emphasizing certain participants over others. |
| Approach: | They conduct a large-scale perception survey of GBV descriptions from italian newspapers and train regression models that predict the salience of GV participants with respect to different dimensions of perceived responsibility. |
| Outcome: | The proposed model shows that salient focus is more predictable than salient blame, and perpetrators’ salience is more predictable than victims’ salient. |
Perspective Taking through Generating Responses to Conflict Situations (2024.findings-acl)
Copied to clipboard
| Challenge: | Language models struggle to understand and explain the beliefs of others, despite improving performance on a wide variety of tasks. |
| Approach: | They propose to modify the social-chem-101 corpus to allow for perspective-taking, the process of conceptualizing the point of view of another person. |
| Outcome: | The proposed models outperform the recent models conditioned on self-disclosures with high similarity to the conflict situation. |
Re-examining Sexism and Misogyny Classification with Annotator Attitudes (2024.findings-emnlp)
Copied to clipboard
| Challenge: | Existing datasets for content moderation fail to capture plurality of possible annotator perspectives or ensure representation of affected groups. |
| Approach: | They examine the relationship between annotator identities and attitudes and the responses they give to two GBV labelling tasks. |
| Outcome: | The results show that higher Right Wing Authoritarianism scores are associated with a higher propensity to label text as sexist . higher scores are also associated with negative attitudes towards sexism and neosexist attitudes . |
Don’t Take This Out of Context!: On the Need for Contextual Models and Evaluations for Stylistic Rewriting (2023.emnlp-main)
Copied to clipboard
| Challenge: | Existing stylistic text rewriting methods ignore the context of the text, causing generic, incoherent, and generic outputs. |
| Approach: | They propose a contextual evaluation metric that integrates preceding context into stylistic text rewriting. |
| Outcome: | The proposed metric integrates the preceding textual context into rewriting and evaluation stages . human preferences are better reflected by the proposed criterio and other metrics . |
#NotAWhore! A Computational Linguistic Perspective of Rape Culture and Victimization on Social Media (2020.acl-srw)
Copied to clipboard
| Challenge: | Recent surge in online forums and movements supporting sexual assault survivors has led to the emergence of a ‘virtual bubble’ where survivors can recount their stories. |
| Approach: | They propose a transfer-learning based method to identify victim blaming language on Twitter and a single step transfer-based classification method to classify it. |
| Outcome: | The proposed method is compared with various deep learning and machine learning models on a manually annotated domain-specific dataset. |
Entity Framing and Role Portrayal in the News (2025.findings-acl)
Copied to clipboard
Tarek Mahmoud, Zhuohan Xie, Dimitar Iliyanov Dimitrov, Nikolaos Nikolaidis, Purificação Silvano, Roman Yangarber, Shivam Sharma, Elisa Sartori, Nicolas Stefanovitch, Giovanni Da San Martino, Jakub Piskorski, Preslav Nakov
| Challenge: | a dataset of news articles containing 22 fine-grained characters is annotated for entity framing and role portrayal . the dataset includes 1,378 recent news articles in five languages focusing on the Ukraine-Russia War and climate change . |
| Approach: | They propose a multilingual and hierarchical corpus annotated for entity framing and role portrayal in news articles. |
| Outcome: | The proposed dataset includes 1,378 recent news articles in five languages focusing on the Ukraine-Russia War and climate change . the authors report evaluation results on state-of-the-art multilingual transformers and hierarchical zero-shot learning using LLMs at the level of a document, paragraph, and sentence . |
PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction (2020.emnlp-main)
Copied to clipboard
| Challenge: | Unconscious biases continue to be prevalent in modern text and media, calling for algorithms that can assist writers with bias correction. |
| Approach: | They propose a new revision task that debiases text through the lens of connotation frames to correct implicit biases in character portrayals. |
| Outcome: | The proposed approach outperforms existing methods and ablations in the literature. |
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation (2021.findings-emnlp)
Copied to clipboard
| Challenge: | Recent studies have found evidence of gender bias in machine translation and coreference resolution models using mostly synthetic diagnostic datasets. |
| Approach: | They propose a semi-automatic method to vastly extend synthetic, small diagnostic datasets to include grammatical patterns indicating stereotypical and non-stereotypical gender-role assignments. |
| Outcome: | The proposed method extends the existing dataset to 108K diverse English sentences. |
He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues (2022.findings-emnlp)
Copied to clipboard
| Challenge: | Existing work on style transfer has focused on controlling formality, authorial style, and sentiment of text. |
| Approach: | They propose a style transfer task that reframes a dialogue from informal first person to formal third person rephrasing . they use a dataset to annotate dialogues from a text summarization corpus . |
| Outcome: | The proposed task improves the performance of extractive models on a dialogue summarization dataset. |
GeNRe: A French Gender-Neutral Rewriting System Using Collective Nouns (2025.findings-acl)
Copied to clipboard
| Challenge: | Gender rewriting is an NLP task that uses gendered forms to mitigate gender biases. |
| Approach: | They propose a French gender-neutral rewriting system using collective nouns, which are gender-fixed in French. |
| Outcome: | The proposed system detects gendered forms and replaces them with neutral or opposite forms. |