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1
Integrating Vectorized Lexical Constraints for Neural Machine Translation ...
Wang, Shuo; Tan, Zhixing; Liu, Yang. - : arXiv, 2022
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2
Contextual Semantic-Guided Entity-Centric GCN for Relation Extraction
In: Mathematics; Volume 10; Issue 8; Pages: 1344 (2022)
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3
Virtual Reality-Integrated Immersion-Based Teaching to English Language Learning Outcome
In: Front Psychol (2022)
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4
Unframing and reframing shanshui
Liu, Yang. - 2022
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5
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation ...
Jiao, Rui; Yang, Zonghan; Sun, Maosong. - : arXiv, 2021
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6
CPM-2: Large-scale Cost-effective Pre-trained Language Models ...
Zhang, Zhengyan; Gu, Yuxian; Han, Xu. - : arXiv, 2021
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7
VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator ...
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8
Assessing Multilingual Fairness in Pre-trained Multimodal Representations ...
Wang, Jialu; Liu, Yang; Wang, Xin Eric. - : arXiv, 2021
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9
Dialog{S}um: {A} Real-Life Scenario Dialogue Summarization Dataset ...
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10
Transfer Learning for Sequence Generation: from Single-source to Multi-source ...
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11
Mask-Align: Self-Supervised Neural Word Alignment ...
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12
Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision ...
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13
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation ...
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14
SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection ...
Jiang, Aiqi; Yang, Xiaohan; Liu, Yang. - : arXiv, 2021
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15
Analyzing the Limits of Self-Supervision in Handling Bias in Language ...
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16
Statistically significant detection of semantic shifts using contextual word embeddings ...
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17
SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection ...
Jiang, Aiqi; Xiaohan Yang; Liu, Yang. - : Zenodo, 2021
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18
Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings ...
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19
Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation ...
Abstract: In parataxis languages like Chinese, word meanings are constructed using specific word-formations, which can help to disambiguate word senses. However, such knowledge is rarely explored in previous word sense disambiguation (WSD) methods. In this paper, we propose to leverage word-formation knowledge to enhance Chinese WSD. We first construct a large-scale Chinese lexical sample WSD dataset with word-formations. Then, we propose a model FormBERT to explicitly incorporate word-formations into sense disambiguation. To further enhance generalizability, we design a word-formation predictor module in case word-formation annotations are unavailable. Experimental results show that our method brings substantial performance improvement over strong baselines. ...
URL: https://underline.io/lecture/38548-leveraging-word-formation-knowledge-for-chinese-word-sense-disambiguation
https://dx.doi.org/10.48448/ppcg-0703
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20
SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection ...
Jiang, Aiqi; Xiaohan Yang; Liu, Yang. - : Zenodo, 2021
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