Christophe Van Gysel | DeepAI

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∙ 04/25/2023

Modeling Spoken Information Queries for Virtual Assistants: Open Problems, Challenges and Opportunities

Virtual assistants are becoming increasingly important speech-driven Inf...

0 Christophe Van Gysel, et al. ∙

∙ 06/29/2022

Space-Efficient Representation of Entity-centric Query Language Models

Virtual assistants make use of automatic speech recognition (ASR) to hel...

0 Christophe Van Gysel, et al. ∙

∙ 06/21/2021

A Discriminative Entity-Aware Language Model for Virtual Assistants

High-quality automatic speech recognition (ASR) is essential for virtual...

0 Mandana Saebi, et al. ∙

∙ 02/14/2021

Error-driven Pruning of Language Models for Virtual Assistants

Language models (LMs) for virtual assistants (VAs) are typically trained...

11 Sashank Gondala, et al. ∙

∙ 05/26/2020

Predicting Entity Popularity to Improve Spoken Entity Recognition by Virtual Assistants

We focus on improving the effectiveness of a Virtual Assistant (VA) in r...

0 Christophe Van Gysel, et al. ∙

∙ 08/26/2019

Connecting and Comparing Language Model Interpolation Techniques

In this work, we uncover a theoretical connection between two language m...

0 Ernest Pusateri, et al. ∙

∙ 05/04/2018

Pytrec_eval: An Extremely Fast Python Interface to trec_eval

We introduce pytrec_eval, a Python interface to the tree_eval informatio...

0 Christophe Van Gysel, et al. ∙

∙ 01/31/2018

ILPS at TREC 2017 Common Core Track

The TREC 2017 Common Core Track aimed at gathering a diverse set of part...

0 Christophe Van Gysel, et al. ∙

∙ 11/16/2017

Remedies against the Vocabulary Gap in Information Retrieval

Search engines rely heavily on term-based approaches that represent quer...

0 Christophe Van Gysel, et al. ∙

∙ 10/17/2017

Reply With: Proactive Recommendation of Email Attachments

Email responses often contain items-such as a file or a hyperlink to an ...

0 Christophe Van Gysel, et al. ∙

∙ 08/09/2017

Neural Vector Spaces for Unsupervised Information Retrieval

We propose the Neural Vector Space Model (NVSM), a method that learns re...

0 Christophe Van Gysel, et al. ∙

∙ 07/25/2017

Structural Regularities in Text-based Entity Vector Spaces

Entity retrieval is the task of finding entities such as people or produ...

0 Christophe Van Gysel, et al. ∙

∙ 07/13/2017

Neural Networks for Information Retrieval

Machine learning plays a role in many aspects of modern IR systems, and ...

0 Tom Kenter, et al. ∙

∙ 06/12/2017

Semantic Entity Retrieval Toolkit

Unsupervised learning of low-dimensional, semantic representations of wo...

0 Christophe Van Gysel, et al. ∙

∙ 01/03/2017

Pyndri: a Python Interface to the Indri Search Engine

We introduce pyndri, a Python interface to the Indri search engine. Pynd...

0 Christophe Van Gysel, et al. ∙

∙ 08/25/2016

Learning Latent Vector Spaces for Product Search

We introduce a novel latent vector space model that jointly learns the l...

0 Christophe Van Gysel, et al. ∙

∙ 08/23/2016

Lexical Query Modeling in Session Search

Lexical query modeling has been the leading paradigm for session search....

0 Christophe Van Gysel, et al. ∙

∙ 08/23/2016

Unsupervised, Efficient and Semantic Expertise Retrieval

We introduce an unsupervised discriminative model for the task of retrie...

0 Christophe Van Gysel, et al. ∙

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