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Chinese character decomposition for neural MT with multi-word expressions
In: Han, Lifeng orcid:0000-0002-3221-2185 , Jones, Gareth J.F. orcid:0000-0003-2923-8365 , Smeaton, Alan F. orcid:0000-0003-1028-8389 and Bolzoni, Paolo (2021) Chinese character decomposition for neural MT with multi-word expressions. In: 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021), 31 May- 2 June 2021, Reykjavik, Iceland (Online). (In Press) (2021)
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Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing ...
Abstract: Abstract Meaning Representation (AMR) is a sentence-level meaning representation based on predicate argument structure. One of the challenges we find in AMR parsing is to capture the structure of complex sentences which expresses the relation between predicates. Knowing the core part of the sentence structure in advance may be beneficial in such a task. In this paper, we present a list of dependency patterns for English complex sentence constructions designed for AMR parsing. With a dedicated pattern matcher, all occurrences of complex sentence constructions are retrieved from an input sentence. While some of the subordinators have semantic ambiguities, we deal with this problem through training classification models on data derived from AMR and Wikipedia corpus, establishing a new baseline for future works. The developed complex sentence patterns and the corresponding AMR descriptions will be made public. ...
Keyword: Computational Linguistics; Data Management System; FOS Languages and literature; Linguistics; Natural Language Processing; Semantics
URL: https://underline.io/lecture/29801-dependency-patterns-of-complex-sentences-and-semantic-disambiguation-for-abstract-meaning-representation-parsing
https://dx.doi.org/10.48448/vpec-h051
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3
One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets ...
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4
Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model ...
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5
InFillmore: Frame-Guided Language Generation with Bidirectional Context ...
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Overcoming Poor Word Embeddings with Word Definitions ...
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7
Learning Embeddings for Rare Words Leveraging Internet Search Engine and Spatial Location Relationships ...
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8
Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis ...
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9
ParsFEVER : a Dataset for Farsi Fact Extraction and Verification ...
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10
Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge ...
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11
Script Parsing with Hierarchical Sequence Modelling ...
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12
Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference ...
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13
Multilingual Neural Semantic Parsing for Low-Resourced Languages ...
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14
Inducing Language-Agnostic Multilingual Representations ...
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15
Denoising Word Embeddings by Averaging in a Shared Space ...
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16
Consistency improvement with a feedback recommendation in personalized linguistic group decision making
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17
Semantic shift in social networks ...
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18
Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages ...
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19
Can Transformer Langauge Models Predict Psychometric Properties? ...
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20
Braiding Language (by Computer): Lushootseed Grammar Engineering
Crowgey, Joshua. - 2019
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