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Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA

11 Oct 2022arXiv:2210.05197archive 2025-07-28

JunJie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan

Retrieving evidences from tabular and textual resources is essential for open-domain question answering (OpenQA), which provides more comprehensive information. However, training an effective dense table-text retriever is difficult due to the challenges of table-text discrepancy and data sparsity problem. To address the above challenges, we introduce an optimized OpenQA Table-Text Retriever (OTTeR) to jointly retrieve tabular and textual evidences. Firstly, we propose to enhance mixed-modality representation learning via two mechanisms: modality-enhanced representation and mixed-modality negative sampling strategy. Secondly, to alleviate data sparsity problem and enhance the general retrieval ability, we conduct retrieval-centric mixed-modality synthetic pre-training. Experimental results demonstrate that OTTeR substantially improves the performance of table-and-text retrieval on the OTT-QA dataset. Comprehensive analyses examine the effectiveness of all the proposed mechanisms. Besides, equipped with OTTeR, our OpenQA system achieves the state-of-the-art result on the downstream QA task, with 10.1\% absolute improvement in terms of the exact match over the previous best system. \footnote{All the code and data are available at \url{https://github.com/Jun-jie-Huang/OTTeR}.}

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dict_list_sort_by_key jun-jie-huang/otter/preprocessing/utils_preprocess.py official repository unverified MIT (permissive) · 47e51503d27fbd9a · report
get_negative_idx jun-jie-huang/otter/preprocessing/prepro_bart_to_pretrain.py official repository unverified MIT (permissive) · 547f8cf4afeada84 · report
get_table_block jun-jie-huang/otter/qa/qa_dataset.py official repository unverified MIT (permissive) · 571485ecb697bdb6 · report
merge_gt_linked_passages jun-jie-huang/otter/preprocessing/qa_preprocess.py official repository unverified MIT (permissive) · aad01ec50728d536 · report
merge_negatives jun-jie-huang/otter/preprocessing/prepro_bart_to_pretrain.py official repository unverified MIT (permissive) · 973737581ef68fb7 · report
pretrain_bart_preprocess jun-jie-huang/otter/preprocessing/prepro_bart_to_pretrain.py official repository unverified MIT (permissive) · f1dfe90055317a9b · report
rank_doc_tfidf jun-jie-huang/otter/preprocessing/utils_preprocess.py official repository unverified MIT (permissive) · c549f48941a79b4a · report
read_json jun-jie-huang/otter/preprocessing/utils_preprocess.py official repository unverified MIT (permissive) · 327db3228bc36b13 · report

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Open-Domain Question AnsweringQuestion AnsweringRepresentation LearningRetrievalText Retrieval

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