Quantifying gender bias towards politicians in cross-lingual language models von Stanczak, Karolina, Ray Choudhury, Sagnik, Pimentel, Tiago, Cotterell, Ryan, Augenstein, Isabelle

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Implications of Annotation Artifacts in Edge Probing Test Datasets von Choudhury, Sagnik Ray, Kalra, Jushaan

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Explaining Interactions Between Text Spans von Choudhury, Sagnik Ray, Atanasova, Pepa, Augenstein, Isabelle

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Machine Reading, Fast and Slow: When Do Models "Understand" Language? von Choudhury, Sagnik Ray, Rogers, Anna, Augenstein, Isabelle

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Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models? von Choudhury, Sagnik Ray, Bhutani, Nikita, Augenstein, Isabelle

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Navigating the Landscape of Reproducible Research: A Predictive Modeling Approach von Akhil Pandey Akella, Choudhury, Sagnik Ray, Koop, David, Alhoori, Hamed

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Implications of Annotation Artifacts in Edge Probing Test Datasets von Choudhury, Sagnik Ray, Kalra, Jushaan

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Explaining Interactions Between Text Spans von Choudhury, Sagnik Ray, Atanasova, Pepa, Augenstein, Isabelle

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Quantifying gender bias towards politicians in cross-lingual language models von Stańczak, Karolina, Ray Choudhury, Sagnik, Pimentel, Tiago, Cotterell, Ryan, Augenstein, Isabelle

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Intent Features for Rich Natural Language Understanding von Lester, Brian, Choudhury, Sagnik Ray, Prasad, Rashmi, Bangalore, Srinivas

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Machine Reading, Fast and Slow: When Do Models "Understand" Language? von Choudhury, Sagnik Ray, Rogers, Anna, Augenstein, Isabelle

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Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models? von Choudhury, Sagnik Ray, Bhutani, Nikita, Augenstein, Isabelle

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Computationally Efficient NER Taggers with Combined Embeddings and Constrained Decoding von Lester, Brian, Pressel, Daniel, Hemmeter, Amy, Choudhury, Sagnik Ray

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Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models von Stańczak, Karolina, Choudhury, Sagnik Ray, Pimentel, Tiago, Cotterell, Ryan, Augenstein, Isabelle

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Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers von Lester, Brian, Pressel, Daniel, Hemmeter, Amy, Choudhury, Sagnik Ray, Bangalore, Srinivas

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Multiple Word Embeddings for Increased Diversity of Representation von Lester, Brian, Pressel, Daniel, Hemmeter, Amy, Choudhury, Sagnik Ray, Bangalore, Srinivas

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Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models von Stańczak, Karolina, Choudhury, Sagnik Ray, Pimentel, Tiago, Cotterell, Ryan, Augenstein, Isabelle

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Intent Features for Rich Natural Language Understanding von Lester, Brian, Choudhury, Sagnik Ray, Prasad, Rashmi, Bangalore, Srinivas

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Computationally Efficient NER Taggers with Combined Embeddings and Constrained Decoding von Lester, Brian, Pressel, Daniel, Hemmeter, Amy, Choudhury, Sagnik Ray

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Keyword and Keyphrase Extraction Using Centrality Measures on Collocation Networks von Lahiri, Shibamouli, Choudhury, Sagnik Ray, Caragea, Cornelia

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