1 |
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Anatomical Study on the Safety of Anterior Cervical Craniovertebral Fusion with Clival Screw Placement in Children Aged 1–6 Years
|
|
|
|
In: Int J Gen Med (2021)
|
|
BASE
|
|
Show details
|
|
4 |
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Information Aggregation for Multi-Head Attention with Routing-by-Agreement ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Neuron Interaction Based Representation Composition for Neural Machine Translation ...
|
|
|
|
Abstract:
Recent NLP studies reveal that substantial linguistic information can be attributed to single neurons, i.e., individual dimensions of the representation vectors. We hypothesize that modeling strong interactions among neurons helps to better capture complex information by composing the linguistic properties embedded in individual neurons. Starting from this intuition, we propose a novel approach to compose representations learned by different components in neural machine translation (e.g., multi-layer networks or multi-head attention), based on modeling strong interactions among neurons in the representation vectors. Specifically, we leverage bilinear pooling to model pairwise multiplicative interactions among individual neurons, and a low-rank approximation to make the model computationally feasible. We further propose extended bilinear pooling to incorporate first-order representations. Experiments on WMT14 English-German and English-French translation tasks show that our model consistently improves ... : AAAI 2020 ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
|
|
URL: https://dx.doi.org/10.48550/arxiv.1911.09877 https://arxiv.org/abs/1911.09877
|
|
BASE
|
|
Hide details
|
|
8 |
Multi-Granularity Self-Attention for Neural Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Towards Understanding Neural Machine Translation with Word Importance ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Exploiting Deep Representations for Neural Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Hardware string matching engine for large and dynamic pattern set ; Da xing dong tai zi fu chuan ji de ying jian pi pei ji ; 大型動態字符串集的硬件匹配機
|
|
Wang, Xing (王興). - : City University of Hong Kong, 2014
|
|
BASE
|
|
Show details
|
|
14 |
Multi-Stride String Searching for High-Speed Content Inspection
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Multi-Stride String Searching for High-Speed Content Inspection
|
|
|
|
BASE
|
|
Show details
|
|
|
|