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09/04/2023
Donkii: Can Annotation Error Detection Methods Find Errors in Instruction-Tuning Datasets?
Instruction-tuning has become an integral part of training pipelines for...
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05/11/2023
A General-Purpose Multilingual Document Encoder
Massively multilingual pretrained transformers (MMTs) have tremendously ...
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05/09/2023
Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data
Transferring information retrieval (IR) models from a high-resource lang...
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05/30/2022
ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering System
This paper introduces our proposed system for the MIA Shared Task on Cro...
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04/05/2022
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval
State-of-the-art neural (re)rankers are notoriously data hungry which - ...
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12/21/2021
On Cross-Lingual Retrieval with Multilingual Text Encoders
In this work we present a systematic empirical study focused on the suit...
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01/21/2021
Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval
Pretrained multilingual text encoders based on neural Transformer archit...
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10/12/2020
Probing Pretrained Language Models for Lexical Semantics
The success of large pretrained language models (LMs) such as BERT and R...
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04/16/2020
Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers
Current methods of cross-lingual parser transfer focus on predicting the...
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02/01/2019
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions
Cross-lingual word embeddings (CLEs) enable multilingual modeling of mea...
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05/02/2018