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1
Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information ...
BASE
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2
YACLC: A Chinese Learner Corpus with Multidimensional Annotation ...
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3
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation ...
Jiao, Rui; Yang, Zonghan; Sun, Maosong. - : arXiv, 2021
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4
CPM-2: Large-scale Cost-effective Pre-trained Language Models ...
Zhang, Zhengyan; Gu, Yuxian; Han, Xu. - : arXiv, 2021
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5
Automatic Construction of Sememe Knowledge Bases via Dictionaries ...
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6
Sub-Character Tokenization for Chinese Pretrained Language Models ...
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7
CCPM: A Chinese Classical Poetry Matching Dataset ...
Li, Wenhao; Qi, Fanchao; Sun, Maosong. - : arXiv, 2021
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8
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts ...
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9
Transfer Learning for Sequence Generation: from Single-source to Multi-source ...
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10
Mask-Align: Self-Supervised Neural Word Alignment ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.369 Abstract: Word alignment, which aims to align translationally equivalent words between source and target sentences, plays an important role in many natural language processing tasks. Current unsupervised neural alignment methods focus on inducing alignments from neural machine translation models, which does not leverage the full context in the target sequence. In this paper, we propose Mask-Align, a self-supervised word alignment model that takes advantage of the full context on the target side. Our model masks out each target token and predicts it conditioned on both source and the remaining target tokens. This two-step process is based on the assumption that the source token contributing most to recovering the masked target token should be aligned. We also introduce an attention variant called leaky attention, which alleviates the problem of unexpected high cross-attention weights on special tokens such as periods. Experiments on four language ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/b7ad-g040
https://underline.io/lecture/25688-mask-align-self-supervised-neural-word-alignment
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11
Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision ...
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12
OpenAttack: An Open-source Textual Adversarial Attack Toolkit ...
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13
Try to Substitute: An Unsupervised Chinese Word Sense Disambiguation Method Based on HowNet ...
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14
Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic Correspondence ...
Du, Jiaju; Qi, Fanchao; Sun, Maosong. - : arXiv, 2020
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15
Chinese computational linguistics : 18th China National Conference, CCL 2019, Kunming, China, October 18-20, 2019 : proceedings
Liu, Zhiyuan (Herausgeber); Jiang, Heng (Herausgeber); Liu, Yang (Herausgeber). - Cham, Switzerland : Springer, 2019
BLLDB
UB Frankfurt Linguistik
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16
Improving Back-Translation with Uncertainty-based Confidence Estimation ...
Wang, Shuo; Liu, Yang; Wang, Chao. - : arXiv, 2019
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17
Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets ...
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18
Modeling Semantic Compositionality with Sememe Knowledge ...
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19
OpenHowNet: An Open Sememe-based Lexical Knowledge Base ...
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20
Neural Machine Translation with Explicit Phrase Alignment ...
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