- Zhuyun Dai, Jamie Callan. 2020. Context-Aware Passage TermWeighting For First Stage Retrieval. Abstract: Term frequency is a commonmethod for identifying the importance of a term in a document. But term frequency ignores how a term interacts with its text context, which is key to estimating documentspecific term weights. This paper proposes a Deep Contextualized Term Weighting framework (DeepCT) that maps the contextualized term representations fromBERT to into context-aware termweights for passage retrieval. The new, deep term weights can be stored in an ordinary inverted index for efficient retrieval. Experiments on two datasets demonstrate that DeepCT greatly improves the accuracy of first-stage passage retrieval algorithms.
