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Passage Re-Ranking

4 papers with code · Natural Language Processing

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Document Expansion by Query Prediction

17 Apr 2019castorini/Anserini

One technique to improve the retrieval effectiveness of a search engine is to expand documents with terms that are related or representative of the documents' content. From the perspective of a question answering system, this might comprise questions the document can potentially answer.

PASSAGE RE-RANKING QUESTION ANSWERING

Passage Re-ranking with BERT

13 Jan 2019nyu-dl/dl4marco-bert

Recently, neural models pretrained on a language modeling task, such as ELMo (Peters et al., 2017), OpenAI GPT (Radford et al., 2018), and BERT (Devlin et al., 2018), have achieved impressive results on various natural language processing tasks such as question-answering and natural language inference.

#2 best model for Passage Re-Ranking on MS MARCO (using extra training data)

PASSAGE RE-RANKING

An Updated Duet Model for Passage Re-ranking

18 Mar 2019dfcf93/MSMARCO

We propose several small modifications to Duet---a deep neural ranking model---and evaluate the updated model on the MS MARCO passage ranking task.

PASSAGE RE-RANKING

Benchmark for Complex Answer Retrieval

1 Oct 2017bmitra-msft/NDRM

Retrieving paragraphs to populate a Wikipedia article is a challenging task.

INFORMATION RETRIEVAL PASSAGE RE-RANKING