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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 SD-QA: Spoken Dialectal Question Answering for the Real World ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Alam, Md Mahfuz Ibn; Anastasopoulos, Antonios. - : Underline Science Inc., 2021 BASE Show details 2 SD-QA: Spoken Dialectal Question Answering for the Real World ... Faisal, Fahim; Keshava, Sharlina; Alam, Md Mahfuz ibn. - : arXiv, 2021 BASE Show details 3 Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors ... Mahmud, Junayed; Faisal, Fahim; Arnob, Raihan Islam. - : arXiv, 2021 BASE Show details 4 Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering ... Faisal, Fahim; Anastasopoulos, Antonios. - : arXiv, 2021 Abstract: Human knowledge is collectively encoded in the roughly 6500 languages spoken around the world, but it is not distributed equally across languages. Hence, for information-seeking question answering (QA) systems to adequately serve speakers of all languages, they need to operate cross-lingually. In this work we investigate the capabilities of multilingually pre-trained language models on cross-lingual QA. We find that explicitly aligning the representations across languages with a post-hoc fine-tuning step generally leads to improved performance. We additionally investigate the effect of data size as well as the language choice in this fine-tuning step, also releasing a dataset for evaluating cross-lingual QA systems. Code and dataset are publicly available here: https://github.com/ffaisal93/aligned_qa ... : Accepted at MRQA Workshop 2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2109.12028 https://arxiv.org/abs/2109.12028 BASE Hide details 5 Disease Identification From Unstructured User Input ... Faisal, Fahim; Bhuiyan, Shafkat Ahmed; Kamal, Dr. Abu Raihan Mostofa. - : arXiv, 2019 BASE Show details

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