capreolus.reranker.ptBERTMaxP
¶
Module Contents¶
Classes¶
BERT-style ClassificationHead (i.e., out_proj only -- no dense). See transformers.ElectraClassificationHead |
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PyTorch implementation of BERT-MaxP. |
Attributes¶
- class capreolus.reranker.ptBERTMaxP.ElectraRelevanceHead(dropout, out_proj, *args, **kwargs)[source]¶
Bases:
torch.nn.Module
BERT-style ClassificationHead (i.e., out_proj only – no dense). See transformers.ElectraClassificationHead
- class capreolus.reranker.ptBERTMaxP.PTBERTMaxP_Class(extractor, config, *args, **kwargs)[source]¶
Bases:
torch.nn.Module
- class capreolus.reranker.ptBERTMaxP.PTBERTMaxP(config=None, provide=None, share_dependency_objects=False, build=True)[source]¶
Bases:
capreolus.reranker.Reranker
PyTorch implementation of BERT-MaxP.
Deeper Text Understanding for IR with Contextual Neural Language Modeling. Zhuyun Dai and Jamie Callan. SIGIR 2019. https://arxiv.org/pdf/1905.09217.pdf