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1
Spanish Abstract Meaning Representation: Annotation of a General Corpus ...
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2
Universal Dependencies and Semantics for English and Hebrew Child-directed Speech
In: Proceedings of the Society for Computation in Linguistics (2022)
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3
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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4
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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5
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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6
Mischievous Nominal Constructions in Universal Dependencies ...
Schneider, Nathan; Zeldes, Amir. - : arXiv, 2021
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7
PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English ...
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8
Hindi-Urdu Adposition and Case Supersenses v1.0 ...
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9
Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.257 Abstract: We present algorithms for aligning components of Abstract Meaning Representation (AMR) graphs to spans in English sentences. We leverage unsupervised learning in combination with heuristics, taking the best of both worlds from previous AMR aligners. Our unsupervised models, however, are more sensitive to graph substructures, without requiring a separate syntactic parse. Our approach covers a wider variety of AMR substructures than previously considered, achieves higher coverage of nodes and edges, and does so with higher accuracy. We will release our LEAMR datasets and aligner for use in research on AMR parsing, generation, and evaluation. ...
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/rkxj-hp53
https://underline.io/lecture/25593-probabilistic,-structure-aware-algorithms-for-improved-variety,-accuracy,-and-coverage-of-amr-alignments
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10
Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed Speech ...
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11
Oracle Linguistic Graphs Complement a Pretrained Transformer Language Model: A Cross-formalism Comparison ...
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12
SemEval-2021 Task 12: Learning with Disagreements
Uma, Alexandra; Fornaciari, Tommaso; Dumitrache, Anca. - : Association for Computational Linguistics, 2021
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13
IAPUCP at SemEval-2021 task 1: Stacking fine-tuned transformers is almost all you need for lexical complexity prediction
Rivas Rojas, Kervy; Alva-Manchego, Fernando. - : Association for Computational Linguistics, 2021
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14
Supersense and Sensibility: Proxy Tasks for Semantic Annotation of Prepositions
In: Proceedings of the Society for Computation in Linguistics (2021)
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15
CCG Supertagging as Top-down Tree Generation
In: Proceedings of the Society for Computation in Linguistics (2021)
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16
SNACS Annotation of Case Markers and Adpositions in Hindi
In: Proceedings of the Society for Computation in Linguistics (2021)
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17
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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18
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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19
Abstract Meaning Representation (AMR) Annotation Release 3.0
Knight, Kevin; Badarau, Bianca; Baranescu, Laura. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020
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20
UCCA's Foundational Layer: Annotation Guidelines v2.1 ...
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