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Cross-Lingual Natural Language Inference
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Using data and models available for one language for which ample such resources are available (e.g., English) to solve a natural language inference task in another, commonly more low-resource, language.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Leveraging Entailment Judgements in Cross-Lingual Summarisation
Do Multilingual Language Models Think Better in English?
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer
Robust Unsupervised Cross-Lingual Word Embedding using Domain Flow Interpolation
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation and Understanding
mGPT: Few-Shot Learners Go Multilingual
Subword Mapping and Anchoring across Languages
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining
Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer
Language Embeddings for Typology and Cross-lingual Transfer Learning
ByT5: Towards a token-free future with pre-trained byte-to-byte models
SILT: Efficient transformer training for inter-lingual inference
Meta-Learning with MAML on Trees
Rethinking embedding coupling in pre-trained language models
Better Fine-Tuning by Reducing Representational Collapse
On Learning Universal Representations Across Languages
Meemi: A Simple Method for Post-processing and Integrating Cross-lingual Word Embeddings
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
XNLI: Evaluating Cross-lingual Sentence Representations
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.