Многоязычные трансформеры

method ID: multilingualtransformers

Related Papers

Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

Multilingual transformers (XLM, mT5) have been shown to have remarkable transfer skills in zero-shot settings. Most transfer studies, however, rely on automatically translated re- sources (XNLI, XQuAD), making it hard …...

33853

Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractNamed entity recognition (NER) in a real-world setting remains challenging and is impacted by factors like text genre, corpus quality, and data availability. NER models trained on CoNLL do not …...

21209

Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractState-of-the-art neural (re)rankers are notoriously data-hungry which – given the lack of large-scale training data in languages other than English – makes them rarely used in multilingual and cross-lingual retrieval …...

5122

Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractIn Neural Machine Translation (NMT), each token prediction is conditioned on the source sentence and the target prefix (what has been previously translated at a decoding step). However, previous work …...

30281

DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractZero-shot cross-lingual transfer is promising, however has been shown to be sub-optimal, with inferior transfer performance across low-resource languages. In this work, we envision languages as domains for improving zero-shot …...

43061

mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper presents the winning system for the zero-shot Spanish framing detection task, which also achieves competitive places in eight additional languages. The challenge of the framing detection task lies …...

24838