Cross-Lingual Document Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

10 leaderboard tables shown for this task, 10 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

12 shown of 12 papers with code (25 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
  26 Dec 2018 13 repositories listed Syntology ran 4 of 10 samples · 6 unverified · 4 pointer-only (licence)
  We introduce an architecture to learn joint multilingual sentence representations for 93 languages, belonging to more than 30 different families and written in 28 different scripts.
• ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
  4 Oct 2019 10 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Large deep learning models offer significant accuracy gains, but training billions to trillions of parameters is challenging.
• MultiFiT: Efficient Multi-lingual Language Model Fine-tuning
  10 Sep 2019 4 repositories listed
  Pretrained language models are promising particularly for low-resource languages as they only require unlabelled data.
• Robust Cross-lingual Embeddings from Parallel Sentences
  28 Dec 2019 2 repositories listed
  Recent advances in cross-lingual word embeddings have primarily relied on mapping-based methods, which project pretrained word embeddings from different languages into a shared space through a linear transformation.
• A Corpus for Multilingual Document Classification in Eight Languages
  24 May 2018 2 repositories listed Syntology ran 1 of 15 samples · 14 unverified · 1 pointer-only (licence)
  In addition, we have observed that the class prior distributions differ significantly between the languages.
• Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification
  6 Jun 2016 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  To tackle the sentiment classification problem in low-resource languages without adequate annotated data, we propose an Adversarial Deep Averaging Network (ADAN) to transfer the knowledge learned from labeled data on a…
• BilBOWA: Fast Bilingual Distributed Representations without Word Alignments
  9 Oct 2014 2 repositories listed
  We introduce BilBOWA (Bilingual Bag-of-Words without Alignments), a simple and computationally-efficient model for learning bilingual distributed representations of words which can scale to large monolingual datasets…
• Multilingual and cross-lingual document classification: A meta-learning approach
  27 Jan 2021 1 repository listed
  The great majority of languages in the world are considered under-resourced for the successful application of deep learning methods.
• Bridging the domain gap in cross-lingual document classification
  16 Sep 2019 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  We consider the setting of semi-supervised cross-lingual understanding, where labeled data is available in a source language (English), but only unlabeled data is available in the target language.
• Learning Crosslingual Word Embeddings without Bilingual Corpora
  30 Jun 2016 1 repository listed
  Crosslingual word embeddings represent lexical items from different languages in the same vector space, enabling transfer of NLP tools.
• Multilingual Models for Compositional Distributed Semantics
  17 Apr 2014 1 repository listed
  We present a novel technique for learning semantic representations, which extends the distributional hypothesis to multilingual data and joint-space embeddings.
• Multilingual Distributed Representations without Word Alignment
  20 Dec 2013 1 repository listed
  Distributed representations of meaning are a natural way to encode covariance relationships between words and phrases in NLP.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.