Research on conversational search has so far mostly focused on query
rew...
Traditional recommender systems leverage users' item preference history ...
Information access systems, such as search engines, recommender systems,...
Conversational systems can be particularly effective in supporting compl...
This paper presents an ecosystem for personal knowledge graphs (PKG),
co...
Despite the potential impact of explanations on decision making, there i...
Users in consumption domains, like music, are often able to more efficie...
Conversational recommendation systems (CRSs) enable users to use natural...
This paper reports on an effort of reproducing the organizers' baseline ...
We present an extensible user simulation toolkit to facilitate automatic...
DAGFiNN is a conversational conference assistant that can be made availa...
Knowledge graph question answering (KGQA) facilitates information access...
Natural interaction with recommendation and personalized search systems ...
User simulation has been a cost-effective technique for evaluating
conve...
Automated reviewer recommendation for scientific conferences currently r...
A key distinguishing feature of conversational recommender systems over
...
This paper summarizes our participation in the SMART Task of the ISWC 20...
This paper presents a test collection for contextual point of interest (...
We address how to robustly interpret natural language refinements (or
cr...
Tables on the Web contain a vast amount of knowledge in a structured for...
Machine understanding of user utterances in conversational systems is of...
Evaluation is crucial in the development process of task-oriented dialog...
Providing personalized recommendations that are also accompanied by
expl...
Synthetic data generation is important to training and evaluating neural...
Conversational recommender systems support users in accomplishing
recomm...
Category systems are central components of knowledge bases, as they prov...
Conversational information access is an emerging research area. Currentl...
Entity linking is a standard component in modern retrieval system that i...
Tabular data provide answers to a significant portion of search queries....
Tables are a powerful and popular tool for organizing and manipulating d...
When working with any sort of knowledge base (KB) one has to make sure i...
This paper discusses the potential for creating academic resources (tool...
We address the task of auto-completing data cells in relational tables. ...
Monitoring entities in media streams often relies on rich entity
represe...
Tables are an extremely powerful visual and interactive tool for structu...
Knowledge bases store information about the semantic types of entities, ...
Tables contain valuable knowledge in a structured form. We employ neural...
It is held as a truism that deep neural networks require large datasets ...
Thousands of complex natural language questions are submitted to communi...
We address the problem of constructing a knowledge base of entity-orient...
Search typically relies on keyword queries, but these are often semantic...
We introduce SmartTable, an online spreadsheet application that is equip...
Many information needs revolve around entities, which would be better
an...
Entity-oriented search deals with a wide variety of information needs, f...
We address the task of generating query suggestions for task-based searc...
We introduce and address the problem of ad hoc table retrieval: answerin...
This paper describes our participation in the Triple Scoring task of WSD...
In this work we address the development of a smart personal assistant th...
We address the problem of extracting structured representations of econo...
Tables are among the most powerful and practical tools for organizing an...