130 citations · 574 across the 22 of their papers we have counts for
22 papers
UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender Systems
Jafar Afzali, Aleksander Mark Drzewiecki, Krisztian Balog +1
We present an extensible user simulation toolkit to facilitate automatic evaluation of conversational recommender systems. It builds on an established agenda-based approach and ext…
A mixed element scheme of Helmholtz transmission eigenvalue problem for anisotropic media
Qing Liu, Tiexiang Li, Shuo Zhang
In this paper, we study the Helmholtz transmission eigenvalue problem for inhomogeneous anisotropic media with the index of refraction in two and three dimension. St…
A primal finite element scheme of the Hodge Laplace problem
Shuo Zhang
In this paper, a unified family, for any and , of nonconforming finite element schemes are presented for the primal weak formulation of th…
A primal finite element scheme of the elliptic problem
Shuo Zhang
In this paper, a unified family, for and , of finite element schemes are presented for the primal weak formulation of the -dimensional…
Nonconforming finite element spaces for in
Shuo Zhang
This paper constructs a unified family of nonconforming finite element spaces for in (, ). The spaces employ piecewise…
Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems
Shuo Zhang, Mu-Chun Wang, Krisztian Balog
User simulation has been a cost-effective technique for evaluating conversational recommender systems. However, building a human-like simulator is still an open challenge. In this…
StruBERT: Structure-aware BERT for Table Search and Matching
Mohamed Trabelsi, Zhiyu Chen, Shuo Zhang +2
A large amount of information is stored in data tables. Users can search for data tables using a keyword-based query. A table is composed primarily of data values that are organize…
IAI MovieBot: A Conversational Movie Recommender System
Javeria Habib, Shuo Zhang, Krisztian Balog
Conversational recommender systems support users in accomplishing recommendation-related goals via multi-turn conversations. To better model dynamically changing user preferences a…
Generating Categories for Sets of Entities
Shuo Zhang, Krisztian Balog, Jamie Callan
Category systems are central components of knowledge bases, as they provide a hierarchical grouping of semantically related concepts and entities. They are a unique and valuable re…
Evaluating Conversational Recommender Systems via User Simulation
Shuo Zhang, Krisztian Balog
Conversational information access is an emerging research area. Currently, human evaluation is used for end-to-end system evaluation, which is both very time and resource intensive…
Summarizing and Exploring Tabular Data in Conversational Search
Shuo Zhang, Zhuyun Dai, Krisztian Balog +1
Tabular data provide answers to a significant portion of search queries. However, reciting an entire result table is impractical in conversational search systems. We propose to gen…
Novel Entity Discovery from Web Tables
Shuo Zhang, Edgar Meij, Krisztian Balog +1
When working with any sort of knowledge base (KB) one has to make sure it is as complete and also as up-to-date as possible. Both tasks are non-trivial as they require recall-orien…
Auto-completion for Data Cells in Relational Tables
Shuo Zhang, Krisztian Balog
We address the task of auto-completing data cells in relational tables. Such tables describe entities (in rows) with their attributes (in columns). We present the CellAutoComplete…
Recommending Related Tables
Shuo Zhang, Krisztian Balog
Tables are an extremely powerful visual and interactive tool for structuring and manipulating data, making spreadsheet programs one of the most popular computer applications. In th…
Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval
Li Deng, Shuo Zhang, Krisztian Balog
Tables contain valuable knowledge in a structured form. We employ neural language modeling approaches to embed tabular data into vector spaces. Specifically, we consider different…
SmartTable: A Spreadsheet Program with Intelligent Assistance
Shuo Zhang, Vugar Abdul Zada, Krisztian Balog
We introduce SmartTable, an online spreadsheet application that is equipped with intelligent assistance capabilities. With a focus on relational tables, describing entities along w…
On-the-fly Table Generation
Shuo Zhang, Krisztian Balog
Many information needs revolve around entities, which would be better answered by summarizing results in a tabular format, rather than presenting them as a ranked list. Unlike prev…
Ad Hoc Table Retrieval using Semantic Similarity
Shuo Zhang, Krisztian Balog
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…
Generating High-Quality Query Suggestion Candidates for Task-Based Search
Heng Ding, Shuo Zhang, Darío Garigliotti +1
We address the task of generating query suggestions for task-based search. The current state of the art relies heavily on suggestions provided by a major search engine. In this pap…
Supervised Ranking of Triples for Type-Like Relations - The Cress Triple Scorer at the WSDM Cup 2017
Faegheh Hasibi, Darío Garigliotti, Shuo Zhang +1
This paper describes our participation in the Triple Scoring task of WSDM Cup 2017, which aims at ranking triples from a knowledge base for two type-like relations: profession and…
EntiTables: Smart Assistance for Entity-Focused Tables
Shuo Zhang, Krisztian Balog
Tables are among the most powerful and practical tools for organizing and working with data. Our motivation is to equip spreadsheet programs with smart assistance capabilities. We…
Optimal solvers for fourth-order PDEs discretized on unstructured grids
Shuo Zhang, Jinchao Xu
This paper provides the first provable algorithms for the linear system arising from the direct finite element discretization of the fourth-order equation w…