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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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2
Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing ...
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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 ...
Abstract: Just as the meaning of words is tied to the com- munities in which they are used, so too is semantic change. But how does lexical semantic change manifest differently across different communities? In this work, we investigate the relationship between community structure and semantic change in 45 communities from the social media website Reddit. We use distributional methods to quantify lexical semantic change and induce a social network on communities, based on interactions between members. We explore the relationship between semantic change and the clustering coefficient of a community’s social network graph, as well as community size and stability. While none of these factors are found to be significant on their own, we report a significant effect of their three-way interaction. We also report on significant word-level effects of frequency and change in frequency, which replicate previous findings. ...
Keyword: Computational Linguistics; Condensed Matter Physics; Electromagnetism; FOS Languages and literature; FOS Physical sciences; FOS Sociology; Information and Knowledge Engineering; Linguistics; Semantics; Sociolinguistics; Sociology
URL: https://dx.doi.org/10.48448/483c-3h88
https://underline.io/lecture/29791-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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