Indexing Interation with Re-ranking PaperAuthorVenueCode RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking.Ruiyang Ren et al.EMNLP 2021Python Dealing with Typos for BERT-based Passage Retrieval and Ranking.Shengyao Zhuang et al.EMNLP 2021Python ...
sparse_size, _ = _shape(sparse_labels) indices = array_ops.reshape(math_ops.range(0, sparse_size,1), [-1,1]) concated = array_ops.concat([indices, sparse_labels],1) dense_result = sparse_ops.sparse_to_dense(concated, [sparse_size, num_classes],1.0,0.0) result = array_ops.re...
This task is potentially highly useful in applications such as large-scale video search and indexing, where the video content is not segmented into clips. Existing methods mostly resort to two-stage ap- proaches [36, 45, 96], where events are first localized ...
To generate more complete and dense haplotypes, we sought to establish a novel and integrative phasing approach using a combination of Strand-seq data with other data types. That is, we aim to enrich the sparse yet global phasing from Strand-seq using the dense haplotype information provided by...
13.2.1 A brief refresher on sparse vectors Sesapr rvotcse erreiuq drx dak le nc rtdeienv nidxe. Tn ndvtreei denxi aj ojfx wrpz egp blnj jn vrq scue xl gcn krrv eekg - z zjfr lv tsrme brsr nrreeefce heirt noitcoal nj rvq uecors tnotnce. Bx flncfetiyei hnlj rork, ...
Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection.Negar Arabzadeh et al.CIKM 2021Python Boosted Dense Retriever.Patrick Lewis et al.Arxiv 2021NA PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval.Sophia Althammer et al....