research
∙
04/25/2023
Modeling Spoken Information Queries for Virtual Assistants: Open Problems, Challenges and Opportunities
Virtual assistants are becoming increasingly important speech-driven Inf...
share
research
∙
06/29/2022
Space-Efficient Representation of Entity-centric Query Language Models
Virtual assistants make use of automatic speech recognition (ASR) to hel...
research
∙
06/21/2021
A Discriminative Entity-Aware Language Model for Virtual Assistants
High-quality automatic speech recognition (ASR) is essential for virtual...
research
∙
02/14/2021
Error-driven Pruning of Language Models for Virtual Assistants
Language models (LMs) for virtual assistants (VAs) are typically trained...
research
∙
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...
research
∙
08/26/2019
Connecting and Comparing Language Model Interpolation Techniques
In this work, we uncover a theoretical connection between two language m...
research
∙
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...
research
∙
01/31/2018
ILPS at TREC 2017 Common Core Track
The TREC 2017 Common Core Track aimed at gathering a diverse set of part...
research
∙
11/16/2017
Remedies against the Vocabulary Gap in Information Retrieval
Search engines rely heavily on term-based approaches that represent quer...
research
∙
10/17/2017
Reply With: Proactive Recommendation of Email Attachments
Email responses often contain items-such as a file or a hyperlink to an ...
research
∙
08/09/2017
Neural Vector Spaces for Unsupervised Information Retrieval
We propose the Neural Vector Space Model (NVSM), a method that learns re...
research
∙
07/25/2017
Structural Regularities in Text-based Entity Vector Spaces
Entity retrieval is the task of finding entities such as people or produ...
research
∙
07/13/2017
Neural Networks for Information Retrieval
Machine learning plays a role in many aspects of modern IR systems, and ...
research
∙
06/12/2017
Semantic Entity Retrieval Toolkit
Unsupervised learning of low-dimensional, semantic representations of wo...
research
∙
01/03/2017
Pyndri: a Python Interface to the Indri Search Engine
We introduce pyndri, a Python interface to the Indri search engine. Pynd...
research
∙
08/25/2016
Learning Latent Vector Spaces for Product Search
We introduce a novel latent vector space model that jointly learns the l...
research
∙
08/23/2016
Lexical Query Modeling in Session Search
Lexical query modeling has been the leading paradigm for session search....
research
∙
08/23/2016