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1
How to train your self-supervised NLP model: Investigating pre-training objectives, data, and scale
Joshi, Mandar. - 2022
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2
Multilingual Autoregressive Entity Linking ...
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3
Few-shot Learning with Multilingual Language Models ...
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4
DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.35 Abstract: Short textual descriptions of entities provide summaries of their key attributes and have been shown to be useful sources of background knowledge for tasks such as entity linking and question answering. However, generating entity descriptions, especially for new and long-tail entities, can be challenging since relevant information is often scattered across multiple sources with varied content and style. We introduce DESCGEN: given mentions spread over multiple documents, the goal is to generate an entity summary description. DESCGEN consists of 37K entity descriptions from Wikipedia and Fandom, each paired with nine evidence documents on average. The documents were collected using a combination of entity linking and hyperlinks into the entity pages, which together provide high-quality distant supervision. Compared to other multi-document summarization tasks, our task is entity-centric, more abstractive, and covers a wide range of domains. We ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://underline.io/lecture/25389-descgen-a-distantly-supervised-datasetfor-generating-entity-descriptions
https://dx.doi.org/10.48448/p6ns-ts67
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5
Prompting Contrastive Explanations for Commonsense Reasoning Tasks ...
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6
Detecting Hallucinated Content in Conditional Neural Sequence Generation ...
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7
FaVIQ: FAct Verification from Information-seeking Questions ...
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8
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks ...
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9
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment ...
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10
Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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11
What About the Precedent: An Information-Theoretic Analysis of Common Law
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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12
Finding Concept-specific Biases in Form–Meaning Associations
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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13
A Non-Linear Structural Probe
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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14
How (Non-)Optimal is the Lexicon?
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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15
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment ...
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16
Backtranslation feedback improves user confidence in MT, not quality
Obregón, Mateo; Fomicheva, Marina; Novák, Michal. - : Association for Computational Linguistics, 2021
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17
Nearest Neighbor Machine Translation ...
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18
Pre-training via Paraphrasing ...
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19
Multilingual Denoising Pre-training for Neural Machine Translation ...
Liu, Yinhan; Gu, Jiatao; Goyal, Naman. - : arXiv, 2020
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20
De-noising Sequence-to-Sequence Pre-training ...
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