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Idiomatic Expression Identification using Semantic Compatibility
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1546-1562 (2021) (2021)
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| 82 |
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 176-194 (2021) (2021)
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| 83 |
Reducing Confusion in Active Learning for Part-Of-Speech Tagging
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1-16 (2021) (2021)
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| 84 |
Differentiable Subset Pruning of Transformer Heads
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1442-1459 (2021) (2021)
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| 85 |
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1061-1080 (2021) (2021)
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| 86 |
Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 410-428 (2021) (2021)
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Abstract:
AbstractMost combinations of NLP tasks and language varieties lack in-domain examples for supervised training because of the paucity of annotated data. How can neural models make sample-efficient generalizations from task–language combinations with available data to low-resource ones? In this work, we propose a Bayesian generative model for the space of neural parameters. We assume that this space can be factorized into latent variables for each language and each task. We infer the posteriors over such latent variables based on data from seen task–language combinations through variational inference. This enables zero-shot classification on unseen combinations at prediction time. For instance, given training data for named entity recognition (NER) in Vietnamese and for part-of-speech (POS) tagging in Wolof, our model can perform accurate predictions for NER in Wolof. In particular, we experiment with a typologically diverse sample of 33 languages from 4 continents and 11 families, and show that our model yields comparable or better results than state-of-the-art, zero-shot cross-lingual transfer methods. Our code is available at github.com/cambridgeltl/parameter-factorization.
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Keyword:
Computational linguistics. Natural language processing; P98-98.5
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URL: https://doi.org/10.1162/tacl_a_00374
https://doaj.org/article/92cb939b996e45739395143686969d16
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| 87 |
Data-to-text Generation with Macro Planning
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 510-527 (2021) (2021)
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| 88 |
Structured Self-Supervised Pretraining for Commonsense Knowledge Graph Completion
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1268-1284 (2021) (2021)
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| 89 |
RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases
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In: Computational Linguistics, Vol 47, Iss 2, Pp 309-332 (2021) (2021)
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| 90 |
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1032-1046 (2021) (2021)
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| 91 |
Maintaining Common Ground in Dynamic Environments
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 995-1011 (2021) (2021)
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| 92 |
Infusing Finetuning with Semantic Dependencies
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 226-242 (2021) (2021)
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| 93 |
On Generative Spoken Language Modeling from Raw Audio
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1336-1354 (2021) (2021)
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| 94 |
Pretraining the Noisy Channel Model for Task-Oriented Dialogue
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 657-674 (2021) (2021)
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| 95 |
Approximating Probabilistic Models as Weighted Finite Automata
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In: Computational Linguistics, Vol 47, Iss 2, Pp 221-254 (2021) (2021)
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| 96 |
Sensitivity as a Complexity Measure for Sequence Classification Tasks
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 891-908 (2021) (2021)
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| 97 |
Unsupervised Learning of KB Queries in Task-Oriented Dialogs
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 374-390 (2021) (2021)
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| 98 |
<scp>ParsiNLU</scp>: A Suite of Language Understanding Challenges for Persian
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1147-1162 (2021) (2021)
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| 99 |
Adaptive Semiparametric Language Models
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 362-373 (2021) (2021)
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| 100 |
Strong Equivalence of TAG and CCG
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 707-720 (2021) (2021)
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