12 citations · 43 across the 16 of their papers we have counts for
7 papers · 1 filter
Beyond Relevant Documents: A Knowledge-Intensive Approach for Query-Focused Summarization using Large Language Models
Weijia Zhang, Jia-Hong Huang, Svitlana Vakulenko +3
Query-focused summarization (QFS) is a fundamental task in natural language processing with broad applications, including search engines and report generation. However, traditional…
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…
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…
VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law
Julien Rossi, Svitlana Vakulenko, Evangelos Kanoulas
Citing legal opinions is a key part of legal argumentation, an expert task that requires retrieval, extraction and summarization of information from court decisions. The identifica…
Message Passing for Complex Question Answering over Knowledge Graphs
Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres +2
Question answering over knowledge graphs (KGQA) has evolved from simple single-fact questions to complex questions that require graph traversal and aggregation. We propose a novel…