Blar i UiS Brage på forfatter "Balog, Krisztian"

Viser treff 1-20 av 38

    • A conversational framework for mulitple modalities 

      Henriksen, Rune; Mosand, Sinde E. (Bachelor thesis, 2022)
      This paper is concerned with creating conversations around the ECIR conference with multiple modalities. We use a Furhat robot from Furhat robotics to have a physical presence and handle voice. Rasa addresses the AI component ...

    • A conversational framework for multiple modalities 

      Henriksen, Rune; Mosand, Sindre (Bachelor thesis, 2022)
      This paper is concerned with creating conversations around the ECIR conference with multiple modalities. We use a Furhat robot from Furhat robotics to have a physical presence and handle voice. Rasa addresses the AI component ...

    • A Conversational Recommender Skill for Conference Content 

      Dørheim, Eyvinn Thu; Sørensen, Sander Havn (Bachelor thesis, 2022)
      Conversational information access systems aim to assist users in task-oriented exchanges of information in a conversational manner. Supporting multiple user goals, such as informational search, recommendation and exploratory ...

    • Ad Hoc Table Retrieval using Semantic Similarity 

      Zhang, Shuo; Balog, Krisztian (Chapter, 2018)
      We introduce and address the problem of ad hoc table retrieval: answering a keyword query with a ranked list of tables. This task is not only interesting on its own account, but is also being used as a core component in ...

    • Answering Engine for Sport Statistics: Question Processing 

      Blaauw, Øyvind (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017)
      In recent years, there has been an increasing growth of interest among computer scientists for the topic of Linked Data and the Semantic Web. By connecting and publishing structured data from multiple sources, the Web ...

    • Answering Engine for sports statistics: Development of an ontology and a knowledge base 

      Mehdipour Pirbazari, Aida (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-17)
      Focus of this study is on development of a domain-specific ontology and a knowledge base of facts for a Question Answering system. This QA system accepts natural language questions about statistics of Formula One and ...

    • arXiv Table Extractor 

      Ramsay, David Gordon; Pop, Rebeca (Bachelor thesis, 2021)

    • ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation 

      Jekteberg, Øyvind; Gingstad, Kristian (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      The purpose of this thesis is to explore different methods for recommending scientific literature to scientists and to explore different methods for doing topic extraction. We will update and use the already existing ...

    • Automatic Entity Typing using Deep Learning 

      Hovda, Jon Arne Bø (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)
      Knowledge bases contain vast amounts of information about entities and their semantic types. These can be leveraged in a variety of information access tasks like natural language processing and information retrieval. ...

    • Constructing a Personal Knowledge Graph from Disparate Data Sources 

      Langholm,Einar (Master thesis, 2021)
      This thesis revolves around the idea of a Personal Knowledge Graph as a uniform coherent structure of personal data collected from multiple disparate sources: A knowledge base consisting of entities such as persons, events, ...

    • Context Modeling for User Simulation for Conversational Information Access 

      Afzali, Jafar; Drzewiecki, Aleksander Mark (Master thesis, 2022)
      Conversational Information Access systems are systems that help satisfy the information needs of their users via multi-turn conversations. These systems are different from traditional information access systems as they can ...

    • Conversational AI from an Information Retrieval Perspective: Remaining Challenges and a Case for User Simulation 

      Balog, Krisztian (Peer reviewed; Journal article, 2021-09)
      Conversational AI is an emerging field of computer science that engages multiple research communities, from information retrieval to natural language processing to dialogue systems. Within this vast space, we focus on ...

    • Conversational Entity Linking: Problem Definition and Datasets 

      Joko, Hideaki; Hasibi, Faegheh; Balog, Krisztian; de Vries, Arjen (Chapter, 2021-07)
      Machine understanding of user utterances in conversational systems is of utmost importance for enabling engaging and meaningful conversations with users. Entity Linking (EL) is one of the means of text understanding, with ...

    • A Conversational Movie Recommender System 

      Habib, Javeria (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      The purpose of a Conversational Recommender System is to help the users achieve their recommendation specific goals using a multi-turn dialogue. In recent years, numerous studies are conducted on improving the quality ...

    • A Conversational Movie Recommender System 

      Habib, Javeria (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      The purpose of a Conversational Recommender System is to help the users achieve their recommendation specific goals using a multi-turn dialogue. In recent years, numerous studies are conducted on improving the quality ...

    • Creating a Movie Recommendation Chatbot for the Facebook Messenger Platform 

      Berge, Fredrik Seim (Bachelor thesis, 2021)
      The main goal of this thesis is to create a Facebook Messenger bot for the IAI MovieBot recommending system. The MovieBot is adapted to run on Messenger and Telegram simultaneously. Additionally, an adapted version of the ...

    • Decreasing Manual Workload by Automating SAP Travel Expense Workflows 

      Husebø, Ivan-Louis Miranda; Kvist, Andreas (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      In the 21st century, efficiency is a key focus for several organisations, and because of this, machine learning and process automation is getting a lot of attention. The Norwegian Government Agency of Financial Management ...

    • Deep Neural Attention for Misinformation and Deception Detection 

      Mishra, Rahul (PhD thesis UiS;, Doctoral thesis, 2021-06)
      At present the influence of social media on society is so much that without it life seems to have no meaning for many. This kind of over-reliance on social media gives an opportunity to the anarchic elements to take undue ...

    • Entity-Oriented Search 

      Balog, Krisztian (The Information Retrieval Series;39, Book, 2018)
      Search engines have become part of our daily lives. We use Google (Bing, Yandex, Baidu, etc.) as the main gateway to find information on theWeb.With a certain type of content in mind, we may search directly on a particular ...

    • Evaluating Fairness in Information Retrieval Systems: A Study on the Performance of the FAIR Metric 

      Eriksen, Maria (Master thesis, 2023)
      In the digital era, the use of information retrieval (IR) technologies has surged, enabling users to access vast amounts of data quickly. However, concerns have arisen regarding bias and unfairness in these systems, leading ...