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An end-to-end neural ad-hoc ranking pipeline.

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Dear Sean MacAvaney, I loaded the trained model sledge-med.p following the instructions in [https://colab.research.google.com/drive/1t5UdW2Jebue1php888ldDll6yG5jQXQQ?usp=sharing] and tried to reproduce the result on the trec-covid round1 dataset. However, the output seems not...

Is it possible to export models so that we can use it outside of your ranking pipeline? For example BERT models fine tuned on MSMARCO.

I have downloaded the ir_measures==0.2.1,when I run the following command: `scripts/pipeline.sh config/bert config/robust` an error message is occurred: ![image](https://user-images.githubusercontent.com/44088154/143192640-2c5f12ef-832c-4b96-b98b-dab4a6f1ec8f.png) Could you tell me how to fix it? Thanks

While using vbert, I am getting the error. Please help. vbert = onir_pt.reranker('vanilla_transformer', 'bert', text_field='abstract', vocab_config={'train': True}) vbert_pipeline = ( pt.BatchRetrieve(index,wmodel='BM25',metadata=["docno", "text"]) % 1000 >>pt.text.get_text(index,"text") >>vbert ) df_res= vbert_pipeline.search("can vitamin...

Can we directly train reranker model base on given retrieved data(ANCE for example)?

Perhaps it is a MatchZoo issue. Code: ```python import pyterrier as pt if not pt.started(): pt.init(tqdm='notebook') import onir_pt ``` Log: ```python --------------------------------------------------------------------------- TypeError Traceback (most recent call last) in 5...

I tried to train conv_knrm on the MSMARCO dataset by running the following command: scripts/pipeline.sh config/conv_knrm config/msmarco However I faced "No matching QIDs found. Are you sure you are scoring...

#25 -- can we use [pyserini](https://github.com/castorini/pyserini) instead of the current hackery used for integrating with Anserini?

Reported by @HangCui0510 in Georgetown-IR-Lab/covid-neural-ir#3.