Cross-lingual Transfer of Semantic Role Labeling Models
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Cross-Lingual TransferLanguage ModellingMachine TranslationNatural Language InferenceQuestion AnsweringSemantic Role LabelingWord AlignmentSimilar Papers 제목 키워드 기반
Improving Portuguese Semantic Role Labeling with Transformers and Transfer Learning
The Natural Language Processing task of determining "Who did what to whom" is called Semantic Role Labeling. For English, recent methods based on Transformer models have allowed for major improvements in this task over t…
Cross-Lingual TransferDependency ParsingSemantic Role LabelingTransfer LearningCross-lingual Semantic Role Labeling with Model Transfer
Prior studies show that cross-lingual semantic role labeling (SRL) can be achieved by model transfer under the help of universal features. In this paper, we fill the gap of cross-lingual SRL by proposing an end-to-end SR…
Semantic Role LabelingCross-lingual Transfer Learning for Semantic Role Labeling in Russian
This work is devoted to semantic role labeling (SRL) task in Russian. We investigate the role of transfer learning strategies between English FrameNet and Russian FrameBank corpora. We perform experiments with embeddings…
Cross-Lingual TransferSemantic Role LabelingTransfer LearningXLM-ROn the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling
Although recent developments in neural architectures and pre-trained representations have greatly increased state-of-the-art model performance on fully-supervised semantic role labeling (SRL), the task remains challengin…
Cross-Lingual TransferSemantic Role LabelingA New Method for Cross-Lingual-based Semantic Role Labeling
Semantic role labeling is a crucial task in natural language processing, enabling better comprehension of natural language. However, the lack of annotated data in multiple languages has posed a challenge for researchers.…
Semantic Role Labeling