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15D: Summarization #2 ...
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42
Explanations for CommonsenseQA: New Dataset and Models ...
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43
Societal Biases in Language Generation: Progress and Challenges ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.330 Abstract: Technology for language generation has advanced rapidly, spurred by advancements in pre-training large models on massive amounts of data and the need for intelligent agents to communicate in a natural manner. While techniques can effectively generate fluent text, they can also produce undesirable societal biases that can have a disproportionately negative impact on marginalized populations. Language generation presents unique challenges for biases in terms of direct user interaction and the structure of decoding techniques. To better understand these challenges, we present a survey on societal biases in language generation, focusing on how data and techniques contribute to biases and progress towards reducing biases. Motivated by a lack of studies on biases from decoding techniques, we also conduct experiments to quantify the effects of these techniques. By further discussing general trends and open challenges, we call to attention ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://underline.io/lecture/26035-societal-biases-in-language-generation-progress-and-challenges
https://dx.doi.org/10.48448/zrwc-cf66
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44
UserAdapter: Few-Shot User Learning in Sentiment Analysis ...
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45
QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining ...
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46
9C: Question Answering #2 ...
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47
GEM: Natural Language Generation, Evaluation, and Metrics - Part 2 ...
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48
Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation ...
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49
Measuring and Increasing Context Usage in Context-Aware Machine Translation ...
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50
UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning ...
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51
Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition ...
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52
GEM: Natural Language Generation, Evaluation, and Metrics - Part 1 ...
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CoDesc: A Large Code–Description Parallel Dataset ...
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54
Meta Learning and Its Applications to Natural Language Processing ...
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55
CausaLM: Causal Model Explanation Through Counterfactual Language Models ...
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56
Beyond Metadata: What Paper Authors Say About Corpora They Use ...
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57
Learning Latent Structures for Cross Action Phrase Relations in Wet Lab Protocols ...
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A Knowledge-Guided Framework for Frame Identification ...
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59
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers ...
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60
Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers ...
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