Papers with Code 아카이브
Cross-Lingual
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 0
- 보존된 평가 기록
- 0
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.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/divyanshuaggarwal/indicxnli
공식 코드IndicXNLI: Evaluating Multilingual Inference for Indian Languages
https://github.com/dsfsi/embedding-eval-data
공식 코드https://github.com/duonglm38/codec
공식 코드https://github.com/e-bug/volta
공식 코드https://github.com/edchengg/easyproject
공식 코드Frustratingly Easy Label Projection for Cross-lingual Transfer
https://github.com/edchengg/gollie-transfusion
공식 코드Translation and Fusion Improves Zero-shot Cross-lingual Information Extraction
https://github.com/edchengg/model_selection
공식 코드https://github.com/elliotschu/crosslingual-el
공식 코드Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking
https://github.com/epfl-dlab/pti-candgen
공식 코드Efficient Entity Candidate Generation for Low-Resource Languages
https://github.com/epfl-ml4ed/interpretcc
공식 코드Intrinsic User-Centric Interpretability through Global Mixture of Experts
https://github.com/epfml/Bi-Sent2Vec
공식 코드https://github.com/ercong21/parc
공식 코드Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages
https://github.com/eric-ai-lab/pectvlm
공식 코드https://github.com/ethahtz/multilingual_othello
공식 코드https://github.com/ethanachi/multilingual-probing-visualization
공식 코드Finding Universal Grammatical Relations in Multilingual BERT
https://github.com/facebookresearch/LASER
공식 코드Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/facebookresearch/MLDoc
공식 코드A Corpus for Multilingual Document Classification in Eight Languages
https://github.com/facebookresearch/XLM
공식 코드https://github.com/facebookresearch/belebele
공식 코드The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants
https://github.com/facebookresearch/cc_net
공식 코드https://github.com/facebookresearch/contriever
공식 코드Unsupervised Dense Information Retrieval with Contrastive Learning
https://github.com/fdschmidt93/free-lunch-xlt
공식 코드Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging
https://github.com/fdschmidt93/ofa-xlt
공식 코드https://github.com/fe1ixxu/ZeroShot-CrossLing-Parsing
공식 코드Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation
https://github.com/fe1ixxu/cd_id_mmt
공식 코드Language-Aware Multilingual Machine Translation with Self-Supervised Learning
https://github.com/fe1ixxu/intra-distillation
공식 코드The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains
https://github.com/fe1ixxu/mixed-gradient-few-shot
공식 코드https://github.com/felipessalvatore/CLCD
공식 코드https://github.com/ffaisal93/adapt_lang_phylogeny
공식 코드Phylogeny-Inspired Adaptation of Multilingual Models to New Languages
https://github.com/ffaisal93/neg_inf
공식 코드An Efficient Approach for Studying Cross-Lingual Transfer in Multilingual Language Models
https://github.com/fffffarmer/lsar
공식 코드Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations
https://github.com/firatcekinel/fctr
공식 코드Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish
https://github.com/for-ai/goodtriever
공식 코드From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models
https://github.com/frankaging/oolong-crosslingual
공식 코드Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies
https://github.com/fredxlpy/cross_lingual_prompt_tuning
공식 코드Soft Prompt Tuning for Cross-Lingual Transfer: When Less is More
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.