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Multilingual NLP

4,508 papers

Papers per year

Papers

Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search ACL 2023
The ROOTS Search Tool: Data Transparency for LLMs ACL 2023
UINAUIL: A Unified Benchmark for Italian Natural Language Understanding ACL 2023
A System for Answering Simple Questions in Multiple Languages ACL 2023
Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models ACL 2023
Theoretical Linguistics Rivals Embeddings in Language Clustering for Multilingual Named Entity Recognition ACL 2023
xPQA: Cross-Lingual Product Question Answering in 12 Languages ACL 2023
Everything you need to know about Multilingual LLMs: Towards fair, performant and reliable models for languages of the world ACL 2023
Cross-Lingual Transfer with Target Language-Ready Task Adapters ACL 2023
On Evaluating and Mitigating Gender Biases in Multilingual Settings ACL 2023
Enhancing Few-shot Cross-lingual Transfer with Target Language Peculiar Examples ACL 2023
TADA : Task Agnostic Dialect Adapters for English ACL 2023
Echoes from Alexandria: A Large Resource for Multilingual Book Summarization ACL 2023
Align-then-Enhance: Multilingual Entailment Graph Enhancement with Soft Predicate Alignment ACL 2023
SERENGETI: Massively Multilingual Language Models for Africa ACL 2023
Structural Contrastive Pretraining for Cross-Lingual Comprehension ACL 2023
Speaking Multiple Languages Affects the Moral Bias of Language Models ACL 2023
C-XNLI: Croatian Extension of XNLI Dataset ACL 2023
ACROSS: An Alignment-based Framework for Low-Resource Many-to-One Cross-Lingual Summarization ACL 2023
InfoSync: Information Synchronization across Multilingual Semi-structured Tables ACL 2023
The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges ACL 2023
Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data ACL 2023
Varta: A Large-Scale Headline-Generation Dataset for Indic Languages ACL 2023
Multi3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue ACL 2023
Not Enough Data to Pre-train Your Language Model? MT to the Rescue! ACL 2023