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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 ...
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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 ...
Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.451 Abstract: The growing ecosystem of data sharing in science has put dataset search into the focus. To make data sharing and reuse more feasible, new retrieval tools and services are being developed. Currently, dataset retrieval relies almost exclusively on metadata provided by the publishers. To extend this knowledge source our work studies the task of ``dataset review mining'' in scientific publications. For the field of Natural Language Processing we collect metadata about datasets from established resources such as the ELRA and LDC catalogs, and then extract review statements about the datasets from ACL Anthology Corpus publications, compiling the Webis-Dataset-Reviews-21 corpus. By analyzing the reviews we identify different categories of what paper authors write about data. To the best of our knowledge, this is the first analysis of this kind in the field of Natural Language Processing, albeit similar analyses have been carried out in the ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://underline.io/lecture/26542-beyond-metadata-what-paper-authors-say-about-corpora-they-use
https://dx.doi.org/10.48448/xh9t-6t48
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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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