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1
Improving Word Translation via Two-Stage Contrastive Learning ...
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Plan-then-Generate: Controlled Data-to-Text Generation via Planning ...
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3
Prix-LM: Pretraining for Multilingual Knowledge Base Construction ...
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4
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
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5
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
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6
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
Liu, Qianchu; Liu, Fangyu; Collier, Nigel. - : Apollo - University of Cambridge Repository, 2021
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7
Visually Grounded Reasoning across Languages and Cultures ...
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8
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
Liu, Fangyu; Vulić, I; Korhonen, Anna-Leena. - : Apollo - University of Cambridge Repository, 2021
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9
Visually Grounded Reasoning across Languages and Cultures ...
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10
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
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11
Self-Alignment Pretraining for Biomedical Entity Representations
Liu, Fangyu; Shareghi, Ehsan; Meng, Zaiqiao. - : Association for Computational Linguistics, 2021. : 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
Large-scale exploration of neural relation classification architectures ...
Le, HQ; Can, DC; Vu, ST. - : Apollo - University of Cambridge Repository, 2020
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13
Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter ...
Conforti, Costanza; Berndt, Jakob; Pilehvar, Mohammad Taher. - : Apollo - University of Cambridge Repository, 2020
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14
A pragmatic guide to geoparsing evaluation
Gritta, Milan; Pilehvar, Mohammad Taher; Collier, Nigel. - : Springer Netherlands, 2020. : Language Resources and Evaluation, 2020
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15
Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter
Conforti, Costanza; Berndt, Jakob; Pilehvar, Mohammad Taher. - : 58TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2020), 2020
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16
STANDER: An expert-annotated dataset for news stance detection and evidence retrieval
Conforti, C; Berndt, J; Pilehvar, MT. - : Association for Computational Linguistics, 2020. : Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020, 2020
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17
Large-scale exploration of neural relation classification architectures
Le, HQ; Can, DC; Vu, ST. - : Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018, 2020
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18
A pragmatic guide to geoparsing evaluation : Toponyms, Named Entity Recognition and pragmatics [<Journal>]
Gritta, Milan [Verfasser]; Pilehvar, Mohammad Taher [Verfasser]; Collier, Nigel [Verfasser]
DNB Subject Category Language
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19
A Pragmatic Guide to Geoparsing Evaluation ...
Gritta, Milan; Collier, Nigel; Pilehvar, Mohammad. - : Apollo - University of Cambridge Repository, 2019
Abstract: Empirical methods in geoparsing have thus far lacked a standard evaluation framework describing the task, metrics and data used to compare state-of-the-art systems. Evaluation is further made inconsistent, even unrepresentative of real-world usage by the lack of distinction between the different types of toponyms, which necessitates new guidelines, a consolidation of metrics and a detailed toponym taxonomy with implications for Named Entity Recognition (NER) and beyond. To address these deficiencies, our manuscript introduces a new framework in three parts. Part 1) Task Definition: clarified via corpus linguistic analysis proposing a fine-grained Pragmatic Taxonomy of Toponyms. Part 2) Metrics: discussed and reviewed for a rigorous evaluation including recommendations for NER/Geoparsing practitioners. Part 3) Evaluation Data: shared via a new dataset called GeoWebNews to provide test/train examples and enable immediate use of our contributions. In addition to fine-grained Geotagging and Toponym Resolution ...
URL: https://www.repository.cam.ac.uk/handle/1810/296755
https://dx.doi.org/10.17863/cam.43798
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A pragmatic guide to geoparsing evaluation ...
Gritta, Milan; Pilehvar, Mohammad Taher; Collier, Nigel. - : Apollo - University of Cambridge Repository, 2019
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