Page: 1 2 3 4 5 6 7 8 9... 83
| 81 |
Idiomatic Expression Identification using Semantic Compatibility
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1546-1562 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 82 |
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 176-194 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 83 |
Reducing Confusion in Active Learning for Part-Of-Speech Tagging
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1-16 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 84 |
Differentiable Subset Pruning of Transformer Heads
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1442-1459 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 85 |
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1061-1080 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 86 |
Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 410-428 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 87 |
Data-to-text Generation with Macro Planning
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 510-527 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 88 |
Structured Self-Supervised Pretraining for Commonsense Knowledge Graph Completion
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1268-1284 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 89 |
RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases
|
|
|
|
In: Computational Linguistics, Vol 47, Iss 2, Pp 309-332 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 90 |
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1032-1046 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 91 |
Maintaining Common Ground in Dynamic Environments
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 995-1011 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 92 |
Infusing Finetuning with Semantic Dependencies
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 226-242 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 93 |
On Generative Spoken Language Modeling from Raw Audio
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1336-1354 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 94 |
Pretraining the Noisy Channel Model for Task-Oriented Dialogue
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 657-674 (2021) (2021)
|
|
Abstract:
AbstractDirect decoding for task-oriented dialogue is known to suffer from the explaining-away effect, manifested in models that prefer short and generic responses. Here we argue for the use of Bayes’ theorem to factorize the dialogue task into two models, the distribution of the context given the response, and the prior for the response itself. This approach, an instantiation of the noisy channel model, both mitigates the explaining-away effect and allows the principled incorporation of large pretrained models for the response prior. We present extensive experiments showing that a noisy channel model decodes better responses compared to direct decoding and that a two-stage pretraining strategy, employing both open-domain and task-oriented dialogue data, improves over randomly initialized models.
|
|
Keyword:
Computational linguistics. Natural language processing; P98-98.5
|
|
URL: https://doaj.org/article/9ca014b697b645cea70ef3bfd17f8060
https://doi.org/10.1162/tacl_a_00390
|
|
BASE
|
|
Hide details
|
|
|
| 95 |
Approximating Probabilistic Models as Weighted Finite Automata
|
|
|
|
In: Computational Linguistics, Vol 47, Iss 2, Pp 221-254 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 96 |
Sensitivity as a Complexity Measure for Sequence Classification Tasks
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 891-908 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 97 |
Unsupervised Learning of KB Queries in Task-Oriented Dialogs
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 374-390 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 98 |
<scp>ParsiNLU</scp>: A Suite of Language Understanding Challenges for Persian
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1147-1162 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 99 |
Adaptive Semiparametric Language Models
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 362-373 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
| 100 |
Strong Equivalence of TAG and CCG
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 707-720 (2021) (2021)
|
|
BASE
|
|
Show details
|
|
|
Page: 1 2 3 4 5 6 7 8 9... 83 |
|
