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20172025
most citedTable2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval

95 citations · 760 across the 64 of their papers we have counts for

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Showing 2018 · cs.IRShow all

7 papers · 2 filters

cs.IR2018

IntentsKB: A Knowledge Base of Entity-Oriented Search Intents

Darío Garigliotti, Krisztian Balog

We address the problem of constructing a knowledge base of entity-oriented search intents. Search intents are defined on the level of entity types, each comprising of a high-level…

cs.IR2018

Generating Synthetic Data for Neural Keyword-to-Question Models

Heng Ding, Krisztian Balog

Search typically relies on keyword queries, but these are often semantically ambiguous. We propose to overcome this by offering users natural language questions, based on their key…

cs.IR2018

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…

cs.IR2018

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…

cs.IR2018

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…

cs.IR2018

Towards an Understanding of Entity-Oriented Search Intents

Darío Garigliotti, Krisztian Balog

Entity-oriented search deals with a wide variety of information needs, from displaying direct answers to interacting with services. In this work, we aim to understand what are prom…