https://github.com/nikitacs16/xlift_dst
공식 코드Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Cross-lingual natural language processing is the task of using data and models available for one language for which ample such resources are available (e.g., English) to solve tasks in another, commonly more low-resource, language.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking
Improving the Cross-Lingual Generalisation in Visual Question Answering
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph
Improving Cross-Lingual Transfer through Subtree-Aware Word Reordering
Leveraging Monolingual Data for Crosslingual Compositional Word Representations
Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUD
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset
The Impact of Language Adapters in Cross-Lingual Transfer for NLU
The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer
Cross-lingual Transfer for Speech Processing using Acoustic Language Similarity
Contextual Label Projection for Cross-Lingual Structured Prediction
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction
Language Fusion for Parameter-Efficient Cross-lingual Transfer
Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training
XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations
GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost
ConNER: Consistency Training for Cross-lingual Named Entity Recognition
MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER
"Wikily" Supervised Neural Translation Tailored to Cross-Lingual Tasks
Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOM
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval
Assessing the Role of Lexical Semantics in Cross-lingual Transfer through Controlled Manipulations
Cross-lingual transfer of multilingual models on low resource African Languages
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.