Krisztian Balog

research

∙ 08/17/2023

Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation

Research on conversational search has so far mostly focused on query rew...

0 Weronika Łajewska, et al. ∙

research

∙ 07/26/2023

Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences

Traditional recommender systems leverage users' item preference history ...

0 Scott Sanner, et al. ∙

research

∙ 06/14/2023

User Simulation for Evaluating Information Access Systems

Information access systems, such as search engines, recommender systems,...

0 Krisztian Balog, et al. ∙

research

∙ 04/25/2023

MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce

Conversational systems can be particularly effective in supporting compl...

0 Nolwenn Bernard, et al. ∙

research

∙ 04/19/2023

An Ecosystem for Personal Knowledge Graphs: A Survey and Research Roadmap

This paper presents an ecosystem for personal knowledge graphs (PKG), co...

0 Martin G. Skjæveland, et al. ∙

research

∙ 03/16/2023

Measuring the Impact of Explanation Bias: A Study of Natural Language Justifications for Recommender Systems

Despite the potential impact of explanations on decision making, there i...

0 Krisztian Balog, et al. ∙

research

∙ 03/13/2023

Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset

Users in consumption domains, like music, are often able to more efficie...

0 Arun Tejasvi Chaganty, et al. ∙

research

∙ 01/27/2023

Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models

Conversational recommendation systems (CRSs) enable users to use natural...

0 Megan Leszczynski, et al. ∙

research

∙ 01/25/2023

From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track

This paper reports on an effort of reproducing the organizers' baseline ...

0 Weronika Łajewska, et al. ∙

research

∙ 01/13/2023

UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender Systems

We present an extensible user simulation toolkit to facilitate automatic...

0 Jafar Afzali, et al. ∙

research

∙ 11/29/2022

DAGFiNN: A Conversational Conference Assistant

DAGFiNN is a conversational conference assistant that can be made availa...

0 Ivica Kostric, et al. ∙

research

∙ 05/25/2022

Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering

Knowledge graph question answering (KGQA) facilitates information access...

0 Trond Linjordet, et al. ∙

research

∙ 05/19/2022

On Natural Language User Profiles for Transparent and Scrutable Recommendation

Natural interaction with recommendation and personalized search systems ...

0 Filip Radlinski, et al. ∙

research

∙ 05/03/2022

Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems

User simulation has been a cost-effective technique for evaluating conve...

0 Shuo Zhang, et al. ∙

research

∙ 01/26/2022

Diverse Reviewer Suggestion for Extending Conference Program Committees

Automated reviewer recommendation for scientific conferences currently r...

0 Christin Katharina Kreutz, et al. ∙

research

∙ 11/26/2021

Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions

A key distinguishing feature of conversational recommender systems over ...

0 Ivica Kostric, et al. ∙

research

∙ 09/14/2021

Semantic Answer Type Prediction using BERT: IAI at the ISWC SMART Task 2020

This paper summarizes our participation in the SMART Task of the ISWC 20...

0 Vinay Setty, et al. ∙

research

∙ 05/19/2021

POINTREC: A Test Collection for Narrative-driven Point of Interest Recommendation

This paper presents a test collection for contextual point of interest (...

0 Jafar Afzali, et al. ∙

research

∙ 05/19/2021

On Interpretation and Measurement of Soft Attributes for Recommendation

We address how to robustly interpret natural language refinements (or cr...

0 Krisztian Balog, et al. ∙

research

∙ 05/13/2021

Semantic Table Retrieval using Keyword and Table Queries

Tables on the Web contain a vast amount of knowledge in a structured for...

0 Shuo Zhang, et al. ∙

research

∙ 05/11/2021

Conversational Entity Linking: Problem Definition and Datasets

Machine understanding of user utterances in conversational systems is of...

0 Hideaki Joko, et al. ∙

research

∙ 05/08/2021

Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems

Evaluation is crucial in the development process of task-oriented dialog...

0 Weiwei Sun, et al. ∙

research

∙ 09/24/2020

ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation

Providing personalized recommendations that are also accompanied by expl...

0 Kristian Gingstad, et al. ∙

research

∙ 09/10/2020

Sanitizing Synthetic Training Data Generation for Question Answering over Knowledge Graphs

Synthetic data generation is important to training and evaluating neural...

0 Trond Linjordet, et al. ∙

research

∙ 09/08/2020

IAI MovieBot: A Conversational Movie Recommender System

Conversational recommender systems support users in accomplishing recomm...

0 Javeria Habib, et al. ∙

research

∙ 08/19/2020

Generating Categories for Sets of Entities

Category systems are central components of knowledge bases, as they prov...

0 Shuo Zhang, et al. ∙

research

∙ 06/15/2020

Evaluating Conversational Recommender Systems via User Simulation

Conversational information access is an emerging research area. Currentl...

0 Shuo Zhang, et al. ∙

research

∙ 06/02/2020

REL: An Entity Linker Standing on the Shoulders of Giants

Entity linking is a standard component in modern retrieval system that i...

0 Johannes M. van Hulst, et al. ∙

research

∙ 05/23/2020

Summarizing and Exploring Tabular Data in Conversational Search

Tabular data provide answers to a significant portion of search queries....

0 Shuo Zhang, et al. ∙

research

∙ 02/01/2020

Web Table Extraction, Retrieval and Augmentation: A Survey

Tables are a powerful and popular tool for organizing and manipulating d...

0 Shuo Zhang, et al. ∙

research

∙ 02/01/2020

Novel Entity Discovery from Web Tables

When working with any sort of knowledge base (KB) one has to make sure i...

0 Shuo Zhang, et al. ∙

research

∙ 01/19/2020

Common Conversational Community Prototype: Scholarly Conversational Assistant

This paper discusses the potential for creating academic resources (tool...

0 Krisztian Balog, et al. ∙

research

∙ 09/08/2019

Auto-completion for Data Cells in Relational Tables

We address the task of auto-completing data cells in relational tables. ...

0 Shuo Zhang, et al. ∙

research

∙ 08/05/2019

Unsupervised Context Retrieval for Long-tail Entities

Monitoring entities in media streams often relies on rich entity represe...

0 Darío Garigliotti, et al. ∙

research

∙ 07/08/2019

Recommending Related Tables

Tables are an extremely powerful visual and interactive tool for structu...

0 Shuo Zhang, et al. ∙

research

∙ 07/05/2019

NeuType: A Simple and Effective Neural Network Approach for Predicting Missing Entity Type Information in Knowledge Bases

Knowledge bases store information about the semantic types of entities, ...

0 Jon Arne Bø Hovda, et al. ∙

research

∙ 05/31/2019

Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval

Tables contain valuable knowledge in a structured form. We employ neural...

0 Li Deng, et al. ∙

research

∙ 01/29/2019

Impact of Training Dataset Size on Neural Answer Selection Models

It is held as a truism that deep neural networks require large datasets ...

0 Trond Linjordet, et al. ∙

research

∙ 01/18/2019

Identifying Unclear Questions in Community Question Answering Websites

Thousands of complex natural language questions are submitted to communi...

0 Jan Trienes, et al. ∙

research

∙ 09/02/2018

IntentsKB: A Knowledge Base of Entity-Oriented Search Intents

We address the problem of constructing a knowledge base of entity-orient...

0 Darío Garigliotti, et al. ∙

research

∙ 07/14/2018

Generating Synthetic Data for Neural Keyword-to-Question Models

Search typically relies on keyword queries, but these are often semantic...

0 Heng Ding, et al. ∙

research

∙ 05/16/2018

SmartTable: A Spreadsheet Program with Intelligent Assistance

We introduce SmartTable, an online spreadsheet application that is equip...

0 Shuo Zhang, et al. ∙

research

∙ 05/13/2018

On-the-fly Table Generation

Many information needs revolve around entities, which would be better an...

0 Shuo Zhang, et al. ∙

research

∙ 02/22/2018

Towards an Understanding of Entity-Oriented Search Intents

Entity-oriented search deals with a wide variety of information needs, f...

0 Darío Garigliotti, et al. ∙

research

∙ 02/22/2018

Generating High-Quality Query Suggestion Candidates for Task-Based Search

We address the task of generating query suggestions for task-based searc...

0 Heng Ding, et al. ∙

research

∙ 02/16/2018

Ad Hoc Table Retrieval using Semantic Similarity

We introduce and address the problem of ad hoc table retrieval: answerin...

0 Shuo Zhang, et al. ∙

research

∙ 12/22/2017

Supervised Ranking of Triples for Type-Like Relations - The Cress Triple Scorer at the WSDM Cup 2017

This paper describes our participation in the Triple Scoring task of WSD...

0 Faegheh Hasibi, et al. ∙

research

∙ 09/18/2017

Anticipating Information Needs Based on Check-in Activity

In this work we address the development of a smart personal assistant th...

0 Jan R. Benetka, et al. ∙

research

∙ 09/18/2017

Towards Building a Knowledge Base of Monetary Transactions from a News Collection

We address the problem of extracting structured representations of econo...

0 Jan R. Benetka, et al. ∙

research

∙ 08/29/2017

EntiTables: Smart Assistance for Entity-Focused Tables

Tables are among the most powerful and practical tools for organizing an...

0 Shuo Zhang, et al. ∙

Krisztian Balog

Featured Co-authors