Search Results - "Abercrombie, Gavin"

Sentiment and position-taking analysis of parliamentary debates: a systematic literature review by Abercrombie, Gavin, Batista-Navarro, Riza

“…Parliamentary and legislative debate transcripts provide access to information concerning the opinions, positions, and policy preferences of elected…”
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Topic-Centric Sentiment Analysis of Uk Parliamentary Debates by Abercrombie, Gavin

“…Parliamentary debate speeches provide access to the opinions and policy positions expressed by politicians towards many important topics. This information is…”
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On the Origins of Bias in NLP through the Lens of the Jim Code by Elsafoury, Fatma, Abercrombie, Gavin

“…In this paper, we trace the biases in current natural language processing (NLP) models back to their origins in racism, sexism, and homophobia over the last…”
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Risk-graded Safety for Handling Medical Queries in Conversational AI by Abercrombie, Gavin, Rieser, Verena

“…Conversational AI systems can engage in unsafe behaviour when handling users' medical queries that can have severe consequences and could even lead to deaths…”
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Subjective $\textit{Isms}$? On the Danger of Conflating Hate and Offence in Abusive Language Detection by Curry, Amanda Cercas, Abercrombie, Gavin, Talat, Zeerak

“…Natural language processing research has begun to embrace the notion of annotator subjectivity, motivated by variations in labelling. This approach understands…”
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Re-examining Sexism and Misogyny Classification with Annotator Attitudes by Jiang, Aiqi, Vitsakis, Nikolas, Dinkar, Tanvi, Abercrombie, Gavin, Konstas, Ioannis

“…Gender-Based Violence (GBV) is an increasing problem online, but existing datasets fail to capture the plurality of possible annotator perspectives or ensure…”
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Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement by Abercrombie, Gavin, Rieser, Verena, Hovy, Dirk

“…We commonly use agreement measures to assess the utility of judgements made by human annotators in Natural Language Processing (NLP) tasks. While…”
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NLP for Counterspeech against Hate: A Survey and How-To Guide by Bonaldi, Helena, Chung, Yi-Ling, Abercrombie, Gavin, Guerini, Marco

“…In recent years, counterspeech has emerged as one of the most promising strategies to fight online hate. These non-escalatory responses tackle online abuse…”
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ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI by Curry, Amanda Cercas, Abercrombie, Gavin, Rieser, Verena

“…We present the first English corpus study on abusive language towards three conversational AI systems gathered "in the wild": an open-domain social bot, a…”
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Sentiment and position-taking analysis of parliamentary debates: A systematic literature review by Abercrombie, Gavin, Batista-Navarro, Riza

“…Parliamentary and legislative debate transcripts provide access to information concerning the opinions, positions and policy preferences of elected…”
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Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution by Plaza-del-Arco, Flor Miriam, Curry, Amanda Cercas, Curry, Alba, Abercrombie, Gavin, Hovy, Dirk

“…Large language models (LLMs) reflect societal norms and biases, especially about gender. While societal biases and stereotypes have been extensively researched…”
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Understanding Counterspeech for Online Harm Mitigation by Chung, Yi-Ling, Abercrombie, Gavin, Enock, Florence, Bright, Jonathan, Rieser, Verena

“…Counterspeech offers direct rebuttals to hateful speech by challenging perpetrators of hate and showing support to targets of abuse. It provides a promising…”
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Mirages: On Anthropomorphism in Dialogue Systems by Abercrombie, Gavin, Curry, Amanda Cercas, Dinkar, Tanvi, Rieser, Verena, Talat, Zeerak

“…Automated dialogue or conversational systems are anthropomorphised by developers and personified by users. While a degree of anthropomorphism may be inevitable…”
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iLab at SemEval-2023 Task 11 Le-Wi-Di: Modelling Disagreement or Modelling Perspectives? by Vitsakis, Nikolas, Parekh, Amit, Dinkar, Tanvi, Abercrombie, Gavin, Konstas, Ioannis, Rieser, Verena

“…There are two competing approaches for modelling annotator disagreement: distributional soft-labelling approaches (which aim to capture the level of…”
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Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants by Abercrombie, Gavin, Curry, Amanda Cercas, Pandya, Mugdha, Rieser, Verena

“…Technology companies have produced varied responses to concerns about the effects of the design of their conversational AI systems. Some have claimed that…”
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SemEval-2023 Task 11: Learning With Disagreements (LeWiDi) by Leonardelli, Elisa, Uma, Alexandra, Abercrombie, Gavin, Almanea, Dina, Basile, Valerio, Fornaciari, Tommaso, Plank, Barbara, Rieser, Verena, Poesio, Massimo

“…NLP datasets annotated with human judgments are rife with disagreements between the judges. This is especially true for tasks depending on subjective judgments…”
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A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms by Abercrombie, Gavin, Benbouzid, Djalel, Giudici, Paolo, Golpayegani, Delaram, Hernandez, Julio, Noro, Pierre, Pandit, Harshvardhan, Paraschou, Eva, Pownall, Charlie, Prajapati, Jyoti, Sayre, Mark A, Sengupta, Ushnish, Suriyawongkul, Arthit, Thelot, Ruby, Vei, Sofia, Waltersdorfer, Laura

“…This paper introduces a collaborative, human-centred taxonomy of AI, algorithmic and automation harms. We argue that existing taxonomies, while valuable, can…”
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Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling by Dinan, Emily, Abercrombie, Gavin, Bergman, A. Stevie, Spruit, Shannon, Hovy, Dirk, Boureau, Y-Lan, Rieser, Verena

“…Over the last several years, end-to-end neural conversational agents have vastly improved in their ability to carry a chit-chat conversation with humans…”
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Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP by Belz, Anya, Thomson, Craig, Reiter, Ehud, Abercrombie, Gavin, Alonso-Moral, Jose M, Arvan, Mohammad, Braggaar, Anouck, Cieliebak, Mark, Clark, Elizabeth, van Deemter, Kees, Dinkar, Tanvi, Dušek, Ondřej, Eger, Steffen, Fang, Qixiang, Gao, Mingqi, Gatt, Albert, Gkatzia, Dimitra, González-Corbelle, Javier, Hovy, Dirk, Hürlimann, Manuela, Ito, Takumi, Kelleher, John D, Klubicka, Filip, Krahmer, Emiel, Lai, Huiyuan, van der Lee, Chris, Li, Yiru, Mahamood, Saad, Mieskes, Margot, van Miltenburg, Emiel, Mosteiro, Pablo, Nissim, Malvina, Parde, Natalie, Plátek, Ondřej, Rieser, Verena, Ruan, Jie, Tetreault, Joel, Toral, Antonio, Wan, Xiaojun, Wanner, Leo, Watson, Lewis, Yang, Diyi

“…We report our efforts in identifying a set of previous human evaluations in NLP that would be suitable for a coordinated study examining what makes human…”
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Behold the child by Jones, Paul, Abercrombie, Gavin

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