Search Results for author: Svitlana Vakulenko

Found 28 papers, 14 papers with code

Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study

1 code implementation12 Jan 2023 Mariya Hendriksen, Svitlana Vakulenko, Ernst Kuiper, Maarten de Rijke

Additionally, we select two scene-centric datasets, and three object-centric datasets, and determine the relative performance of the selected models on these datasets.

Cross-Modal Retrieval Object +1

Focusing on Context is NICE: Improving Overshadowed Entity Disambiguation

no code implementations12 Oct 2022 Vera Provatorova, Simone Tedeschi, Svitlana Vakulenko, Roberto Navigli, Evangelos Kanoulas

Entity disambiguation (ED) is the task of mapping an ambiguous entity mention to the corresponding entry in a structured knowledge base.

Entity Disambiguation

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

1 code implementation26 Sep 2022 Georgios Sidiropoulos, Svitlana Vakulenko, Evangelos Kanoulas

Finally, we create a new dataset with questions voiced by human users and use their transcriptions to show that the retrieval performance can further degrade when dealing with natural ASR noise instead of synthetic ASR noise.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +7

Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey

no code implementations5 Aug 2022 Xiaoyu Shen, Svitlana Vakulenko, Marco del Tredici, Gianni Barlacchi, Bill Byrne, Adrià De Gispert

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-answering systems.

Open-Domain Question Answering Retrieval

SCAI-QReCC Shared Task on Conversational Question Answering

1 code implementation LREC 2022 Svitlana Vakulenko, Johannes Kiesel, Maik Fröbe

Search-Oriented Conversational AI (SCAI) is an established venue that regularly puts a spotlight upon the recent work advancing the field of conversational search.

Answer Generation Conversational Question Answering +1

VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law

1 code implementation23 Aug 2021 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.

Document Summarization Passage Retrieval +1

A Comparison of Question Rewriting Methods for Conversational Passage Retrieval

1 code implementation19 Jan 2021 Svitlana Vakulenko, Nikos Voskarides, Zhucheng Tu, Shayne Longpre

Conversational passage retrieval relies on question rewriting to modify the original question so that it no longer depends on the conversation history.

Passage Retrieval Question Rewriting +1

Conversational Browsing

1 code implementation7 Dec 2020 Svitlana Vakulenko, Vadim Savenkov, Maarten de Rijke

How can we better understand the mechanisms behind multi-turn information seeking dialogues?

Information Retrieval Question Answering +1

An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues

no code implementations25 May 2020 Svitlana Vakulenko, Evangelos Kanoulas, Maarten de Rijke

The ability to engage in mixed-initiative interaction is one of the core requirements for a conversational search system.

Conversational Search

Question Rewriting for Conversational Question Answering

no code implementations30 Apr 2020 Svitlana Vakulenko, Shayne Longpre, Zhucheng Tu, Raviteja Anantha

Conversational question answering (QA) requires the ability to correctly interpret a question in the context of previous conversation turns.

Passage Retrieval Question Rewriting +1

Common Conversational Community Prototype: Scholarly Conversational Assistant

no code implementations19 Jan 2020 Krisztian Balog, Lucie Flekova, Matthias Hagen, Rosie Jones, Martin Potthast, Filip Radlinski, Mark Sanderson, Svitlana Vakulenko, Hamed Zamani

This paper discusses the potential for creating academic resources (tools, data, and evaluation approaches) to support research in conversational search, by focusing on realistic information needs and conversational interactions.

Conversational Search

Knowledge-based Conversational Search

no code implementations14 Dec 2019 Svitlana Vakulenko

In the third research chapter, we propose a novel approach for complex question answering from a knowledge graph that surpasses the current state-of-the-art results in terms of both efficacy and efficiency.

Conversational Search Question Answering

Open Data Chatbot

no code implementations9 Sep 2019 Sophia Keyner, Vadim Savenkov, Svitlana Vakulenko

Recently, chatbots received an increased attention from industry and diverse research communities as a dialogue-based interface providing advanced human-computer interactions.


Message Passing for Complex Question Answering over Knowledge Graphs

1 code implementation19 Aug 2019 Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez

We propose a novel approach for complex KGQA that uses unsupervised message passing, which propagates confidence scores obtained by parsing an input question and matching terms in the knowledge graph to a set of possible answers.

Knowledge Graphs Question Answering

QRFA: A Data-Driven Model of Information-Seeking Dialogues

no code implementations27 Dec 2018 Svitlana Vakulenko, Kate Revoredo, Claudio Di Ciccio, Maarten de Rijke

Understanding the structure of interaction processes helps us to improve information-seeking dialogue systems.

Measuring Semantic Coherence of a Conversation

2 code implementations17 Jun 2018 Svitlana Vakulenko, Maarten de Rijke, Michael Cochez, Vadim Savenkov, Axel Polleres

Conversational systems have become increasingly popular as a way for humans to interact with computers.

Knowledge Graphs

Conversational Exploratory Search via Interactive Storytelling

no code implementations15 Sep 2017 Svitlana Vakulenko, Ilya Markov, Maarten de Rijke

In this paper we investigate the affordances of interactive storytelling as a tool to enable exploratory search within the framework of a conversational interface.

Conversational Search Navigate +1

Character-based Neural Embeddings for Tweet Clustering

1 code implementation WS 2017 Svitlana Vakulenko, Lyndon Nixon, Mihai Lupu

In this paper we show how the performance of tweet clustering can be improved by leveraging character-based neural networks.


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