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1
Evaluation of Deep Learning-Based Automated Detection of Primary Spine Tumors on MRI Using the Turing Test
In: Front Oncol (2022)
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2
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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3
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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4
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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5
Exploiting Scene Graphs for Human-Object Interaction Detection ...
He, Tao; Gao, Lianli; Song, Jingkuan. - : arXiv, 2021
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6
XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages ...
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7
CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summarization for 1500+ Language Pairs ...
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8
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection ...
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9
XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages ...
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10
XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages
In: The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Online, 2 August 2021 (2021)
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11
Oral microbiota transplantation fights against head and neck radiotherapy-induced oral mucositis in mice
In: Comput Struct Biotechnol J (2021)
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12
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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13
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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14
Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases ...
Abstract: Question generation over knowledge bases (KBQG) aims at generating natural-language questions about a subgraph, i.e. a set of (connected) triples. Two main challenges still face the current crop of encoder-decoder-based methods, especially on small subgraphs: (1) low diversity and poor fluency due to the limited information contained in the subgraphs, and (2) semantic drift due to the decoder’s oblivion of the semantics of the answer entity. We propose an innovative knowledge-enriched, type-constrained and grammar-guided KBQG model, named KTG, to addresses the above challenges. ...
Keyword: Computer and Information Science; Natural Language Processing; Neural Network
URL: https://underline.io/lecture/6249-knowledge-enriched,-type-constrained-and-grammar-guided-question-generation-over-knowledge-bases
https://dx.doi.org/10.48448/nxrf-f814
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15
The influence of initial defect morphology of alveolar ridge on volumetric change of grafted bone following guided bone regeneration in the anterior maxilla region: an exploratory retrospective study
In: Ann Transl Med (2020)
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16
Themenschwerpunkt Deutsch als Fremdsprache in China
Li, Yuan [Herausgeber]. - Berlin : De Gruyter, 2019
DNB Subject Category Language
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17
Universal Dependencies 2.5
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019
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18
Universal Dependencies 2.4
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019
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19
Massively Multilingual Transfer for NER ...
Rahimi, Afshin; Li, Yuan; Cohn, Trevor. - : arXiv, 2019
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20
Massively multilingual transfer for NER
Rahimi, Afshin; Li, Yuan; Cohn, Trevor. - : Association for Computational Linguistics -ACL, 2019
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