12 citations · 61 across the 25 of their papers we have counts for
5 papers · 1 filter
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…
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…
Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey
Xiaoyu Shen, Svitlana Vakulenko, Marco del Tredici +3
Dense retrieval (DR) approaches based on powerful pre-trained language models (PLMs) achieved significant advances and have become a key component for modern open-domain question-a…
A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration
Shaojie Jiang, Ruqing Zhang, Svitlana Vakulenko +1
The cross-entropy objective has proved to be an all-purpose training objective for autoregressive language models (LMs). However, without considering the penalization of problemati…
Extending CLIP for Category-to-image Retrieval in E-commerce
Mariya Hendriksen, Maurits Bleeker, Svitlana Vakulenko +3
E-commerce provides rich multimodal data that is barely leveraged in practice. One aspect of this data is a category tree that is being used in search and recommendation. However,…