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Stan Peshterliev

2 accepted papers

2022

Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?

EMNLP 2022finding

Despite their recent popularity and well-known advantages, dense retrievers still lag behind sparse methods such as BM25 in their ability to reliably match salient phrases and rare entities in the query and to generalize to out-of-domain data. It has been argued that this is an inherent limitation o…

2022

UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering

NAACL 2022findings

We study open-domain question answering with structured, unstructured and semi-structured knowledge sources, including text, tables, lists and knowledge bases. Departing from prior work, we propose a unifying approach that homogenizes all sources by reducing them to text and applies the retriever-re…