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Societal Biases in Language Generation: Progress and Challenges ...
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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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Abstract:
Read paper: https://www.aclanthology.org/2021.acl-short.83 Abstract: Slot-filling is an essential component for building task-oriented dialog systems. In this work, we focus on the zero-shot slot-filling problem, where the model needs to predict slots and their values, given utterances from new domains without training on the target domain. Prior methods directly encode slot descriptions to generalize to unseen slot types. However, raw slot descriptions are often ambiguous and do not encode enough semantic information, limiting the models’ zero-shot capability. To address this problem, we introduce QA-driven slot filling (QASF), which extracts slot-filler spans from utterances with a span-based QA model. We use a linguistically motivated questioning strategy to turn descriptions into questions, allowing the model to generalize to unseen slot types. Moreover, our QASF model can benefit from weak supervision signals from QA pairs synthetically generated from unlabeled conversations. Our full system substantially ...
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URL: https://dx.doi.org/10.48448/y13r-1m64 https://underline.io/lecture/26051-qa-driven-zero-shot-slot-filling-with-weak-supervision-pretraining
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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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UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning ...
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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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54 |
Meta Learning and Its Applications to Natural Language Processing ...
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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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One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers ...
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Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers ...
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