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20162024
most citedPerspectives on Large Language Models for Relevance Judgment

170 citations · 981 across the 54 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CL2022

Focusing on Context is NICE: Improving Overshadowed Entity Disambiguation

Vera Provatorova, Simone Tedeschi, Svitlana Vakulenko +2

Entity disambiguation (ED) is the task of mapping an ambiguous entity mention to the corresponding entry in a structured knowledge base. Previous research showed that entity oversh…

cs.CL2022★ 3 cited

On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question Answering

Georgios Sidiropoulos, Svitlana Vakulenko, Evangelos Kanoulas

Interacting with a speech interface to query a Question Answering (QA) system is becoming increasingly popular. Typically, QA systems rely on passage retrieval to select candidate…

cs.IR2022★ 18 cited

Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings

Georgios Sidiropoulos, Evangelos Kanoulas

Dense retrieval is becoming one of the standard approaches for document and passage ranking. The dual-encoder architecture is widely adopted for scoring question-passage pairs due…

cs.IR2022★ 15 cited

Zero-shot Query Contextualization for Conversational Search

Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas

Current conversational passage retrieval systems cast conversational search into ad-hoc search by using an intermediate query resolution step that places the user's question in con…

cs.CL2022★ 12 cited

Parameter-Efficient Abstractive Question Answering over Tables or Text

Vaishali Pal, Evangelos Kanoulas, Maarten de Rijke

A long-term ambition of information seeking QA systems is to reason over multi-modal contexts and generate natural answers to user queries. Today, memory intensive pre-trained lang…

cs.IR2022★ 2 cited

Towards Building Economic Models of Conversational Search

Leif Azzopardi, Mohammad Aliannejadi, Evangelos Kanoulas

Various conceptual and descriptive models of conversational search have been proposed in the literature -- while useful, they do not provide insights into how interaction between t…