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41
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 ...
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44
UserAdapter: Few-Shot User Learning in Sentiment Analysis ...
Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.129 Abstract: Adapting a model to a handful of personalized data is challenging, especially when it has gigantic parameters, such as a Transformer-based pretrained model. The standard way of fine-tuning all the parameters necessitates storing a huge model for each user. In this work, we introduce a lightweight approach dubbed UserAdapter, which clamps hundred millions of parameters of the Transformer model and optimizes a tiny user-specific vector. We take sentiment analysis as a test bed, and collect datasets of reviews from Yelp and IMDB respectively. Results show that, on both datasets, UserAdapter achieves better accuracy than the standard fine-tuned Transformer-based pre-trained model. More importantly, UserAdapter offers an efficient way to produce a personalized Transformer model with less than 0.5\% parameters added for each user. ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://underline.io/lecture/26220-useradapter-few-shot-user-learning-in-sentiment-analysis
https://dx.doi.org/10.48448/yj78-2105
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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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53
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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58
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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