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1
Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing ...
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2
One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets ...
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3
Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model ...
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4
InFillmore: Frame-Guided Language Generation with Bidirectional Context ...
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5
Overcoming Poor Word Embeddings with Word Definitions ...
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6
Learning Embeddings for Rare Words Leveraging Internet Search Engine and Spatial Location Relationships ...
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7
Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis ...
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8
ParsFEVER : a Dataset for Farsi Fact Extraction and Verification ...
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9
Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge ...
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10
Script Parsing with Hierarchical Sequence Modelling ...
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11
Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference ...
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12
Multilingual Neural Semantic Parsing for Low-Resourced Languages ...
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13
Inducing Language-Agnostic Multilingual Representations ...
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14
Denoising Word Embeddings by Averaging in a Shared Space ...
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15
Semantic shift in social networks ...
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16
Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages ...
Abstract: Cross-lingual word embeddings provide a way for information to be transferred between languages. In this paper we evaluate an extension of a joint training approach to learning cross-lingual embeddings that incorporates sub-word information during training. This method could be particularly well-suited to lower-resource and morphologically-rich languages because it can be trained on modest size monolingual corpora, and is able to represent out-of-vocabulary words (OOVs). We consider bilingual lexicon induction, including an evaluation focused on OOVs. We find that this method achieves improvements over previous approaches, particularly for OOVs. ...
Keyword: Applied Linguistics; Computational Linguistics; Data Management System; FOS Languages and literature; Linguistics; Natural Language Processing; Semantics
URL: https://dx.doi.org/10.48448/rpwp-6f83
https://underline.io/lecture/29789-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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17
NUS-IDS at CASE 2021 Task 1: Improving Multilingual Event Sentence Coreference Identification with Linguistic Information ...
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18
Can Transformer Langauge Models Predict Psychometric Properties? ...
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