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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 ...
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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 ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-short.29 Abstract: Despite the success of various text generation metrics such as BERTScore, it is still difficult to evaluate the image captions without enough reference captions due to the diversity of the descriptions. In this paper, we introduce a new metric UMIC, an Unreferenced Metric for Image Captioning which does not require reference captions to evaluate image captions. Based on Vision-and-Language BERT, we train UMIC to discriminate negative captions via contrastive learning. Also, we observe critical problems of the previous benchmark dataset (i.e., human annotations) on image captioning metric, and introduce a new collection of human annotations on the generated captions. We validate UMIC on four datasets, including our new dataset, and show that UMIC has a higher correlation than all previous metrics that require multiple references. ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/xyzt-qs52
https://underline.io/lecture/25986-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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