Search Results - "Vakulenko, Svitlana"

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    Aspect-Based Extraction and Analysis of Affective Knowledge from Social Media Streams by Weichselbraun, Albert, Gindl, Stefan, Fischer, Fabian, Vakulenko, Svitlana, Scharl, Arno

    Published in IEEE intelligent systems (01-05-2017)
    “…Extracting and analyzing affective knowledge from social media in a structured manner is a challenging task. Decision makers require insights into the public…”
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    Reverse-engineering conference rankings: what does it take to make a reputable conference? by Küngas, Peep, Karus, Siim, Vakulenko, Svitlana, Dumas, Marlon, Parra, Cristhian, Casati, Fabio

    Published in Scientometrics (01-08-2013)
    “…In recent years, several national and community-driven conference rankings have been compiled. These rankings are often taken as indicators of reputation and…”
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    Knowledge-based Conversational Search by Vakulenko, Svitlana

    Published 14-12-2019
    “…Conversational interfaces that allow for intuitive and comprehensive access to digitally stored information remain an ambitious goal. In this thesis, we lay…”
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    On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question Answering by Sidiropoulos, Georgios, Vakulenko, Svitlana, Kanoulas, Evangelos

    Published 26-09-2022
    “…Interacting with a speech interface to query a Question Answering (QA) system is becoming increasingly popular. Typically, QA systems rely on passage retrieval…”
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    SCAI-QReCC Shared Task on Conversational Question Answering by Vakulenko, Svitlana, Kiesel, Johannes, Fröbe, Maik

    Published 26-01-2022
    “…Search-Oriented Conversational AI (SCAI) is an established venue that regularly puts a spotlight upon the recent work advancing the field of conversational…”
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    VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law by Rossi, Julien, Vakulenko, Svitlana, Kanoulas, Evangelos

    Published 23-08-2021
    “…Citing legal opinions is a key part of legal argumentation, an expert task that requires retrieval, extraction and summarization of information from court…”
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    Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision by Christmann, Philipp, Vakulenko, Svitlana, Sorodoc, Ionut Teodor, Byrne, Bill, de Gispert, Adrià

    Published 11-10-2024
    “…Long-form question answering (LFQA) aims at generating in-depth answers to end-user questions, providing relevant information beyond the direct answer…”
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    Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study by Hendriksen, Mariya, Vakulenko, Svitlana, Kuiper, Ernst, de Rijke, Maarten

    Published 12-01-2023
    “…Most approaches to cross-modal retrieval (CMR) focus either on object-centric datasets, meaning that each document depicts or describes a single object, or on…”
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    A Large-Scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search by Vakulenko, Svitlana, Kanoulas, Evangelos, de Rijke, Maarten

    Published 14-04-2021
    “…Conversational search is a relatively young area of research that aims at automating an information-seeking dialogue. In this paper we help to position it with…”
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    Beyond Relevant Documents: A Knowledge-Intensive Approach for Query-Focused Summarization using Large Language Models by Zhang, Weijia, Huang, Jia-Hong, Vakulenko, Svitlana, Xu, Yumo, Rajapakse, Thilina, Kanoulas, Evangelos

    Published 19-08-2024
    “…Query-focused summarization (QFS) is a fundamental task in natural language processing with broad applications, including search engines and report generation…”
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    Focusing on Context is NICE: Improving Overshadowed Entity Disambiguation by Provatorova, Vera, Tedeschi, Simone, Vakulenko, Svitlana, Navigli, Roberto, Kanoulas, Evangelos

    Published 12-10-2022
    “…Entity disambiguation (ED) is the task of mapping an ambiguous entity mention to the corresponding entry in a structured knowledge base. Previous research…”
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    Conversational Browsing by Vakulenko, Svitlana, Savenkov, Vadim, de Rijke, Maarten

    Published 07-12-2020
    “…How can we better understand the mechanisms behind multi-turn information seeking dialogues? How can we use these insights to design a dialogue system that…”
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    A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration by Jiang, Shaojie, Zhang, Ruqing, Vakulenko, Svitlana, de Rijke, Maarten

    Published 05-05-2022
    “…The cross-entropy objective has proved to be an all-purpose training objective for autoregressive language models (LMs). However, without considering the…”
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    TableQA: Question Answering on Tabular Data by Vakulenko, Svitlana, Savenkov, Vadim

    Published 18-05-2017
    “…Tabular data is difficult to analyze and to search through, yielding for new tools and interfaces that would allow even non tech-savvy users to gain insights…”
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    An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues by Vakulenko, Svitlana, Kanoulas, Evangelos, de Rijke, Maarten

    Published 25-05-2020
    “…The ability to engage in mixed-initiative interaction is one of the core requirements for a conversational search system. How to achieve this is poorly…”
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    Tackling Query-Focused Summarization as A Knowledge-Intensive Task: A Pilot Study by Zhang, Weijia, Vakulenko, Svitlana, Rajapakse, Thilina, Xu, Yumo, Kanoulas, Evangelos

    Published 14-12-2021
    “…Query-focused summarization (QFS) requires generating a summary given a query using a set of relevant documents. However, such relevant documents should be…”
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    Robustness Evaluation of Entity Disambiguation Using Prior Probes:the Case of Entity Overshadowing by Provatorova, Vera, Vakulenko, Svitlana, Bhargav, Samarth, Kanoulas, Evangelos

    Published 24-08-2021
    “…Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021) 10501-10510 Entity disambiguation (ED) is the last step of entity…”
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    Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering by Sidiropoulos, Georgios, Voskarides, Nikos, Vakulenko, Svitlana, Kanoulas, Evangelos

    Published 15-06-2021
    “…In simple open-domain question answering (QA), dense retrieval has become one of the standard approaches for retrieving the relevant passages to infer an…”
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    Open Data Chatbot by Keyner, Sophia, Savenkov, Vadim, Vakulenko, Svitlana

    Published 09-09-2019
    “…The Semantic Web - 16th International Conference, ESWC 2019, Portoroz, Slovenia, June 2-6, 2019 Recently, chatbots received an increased attention from…”
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