Search Results for author: Christophe Van Gysel

Found 15 papers, 7 papers with code

Error-driven Pruning of Language Models for Virtual Assistants

no code implementations14 Feb 2021 Sashank Gondala, Lyan Verwimp, Ernest Pusateri, Manos Tsagkias, Christophe Van Gysel

We customize entropy pruning by allowing for a keep list of infrequent n-grams that require a more relaxed pruning threshold, and propose three methods to construct the keep list.

Connecting and Comparing Language Model Interpolation Techniques

no code implementations26 Aug 2019 Ernest Pusateri, Christophe Van Gysel, Rami Botros, Sameer Badaskar, Mirko Hannemann, Youssef Oualil, Ilya Oparin

In this work, we uncover a theoretical connection between two language model interpolation techniques, count merging and Bayesian interpolation.

Language Modelling

Remedies against the Vocabulary Gap in Information Retrieval

no code implementations16 Nov 2017 Christophe Van Gysel

Search engines rely heavily on term-based approaches that represent queries and documents as bags of words.

Information Retrieval

Reply With: Proactive Recommendation of Email Attachments

no code implementations17 Oct 2017 Christophe Van Gysel, Bhaskar Mitra, Matteo Venanzi, Roy Rosemarin, Grzegorz Kukla, Piotr Grudzien, Nicola Cancedda

Email responses often contain items-such as a file or a hyperlink to an external document-that are attached to or included inline in the body of the message.

Neural Vector Spaces for Unsupervised Information Retrieval

4 code implementations9 Aug 2017 Christophe Van Gysel, Maarten de Rijke, Evangelos Kanoulas

We propose the Neural Vector Space Model (NVSM), a method that learns representations of documents in an unsupervised manner for news article retrieval.

Document Ranking Feature Engineering +2

Structural Regularities in Text-based Entity Vector Spaces

1 code implementation25 Jul 2017 Christophe Van Gysel, Maarten de Rijke, Evangelos Kanoulas

We discover how clusterings of experts correspond to committees in organizations, the ability of expert representations to encode the co-author graph, and the degree to which they encode academic rank.

Entity Retrieval Topic Models

Neural Networks for Information Retrieval

no code implementations13 Jul 2017 Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra

Machine learning plays a role in many aspects of modern IR systems, and deep learning is applied in all of them.

Information Retrieval

Semantic Entity Retrieval Toolkit

1 code implementation12 Jun 2017 Christophe Van Gysel, Maarten de Rijke, Evangelos Kanoulas

Unsupervised learning of low-dimensional, semantic representations of words and entities has recently gained attention.

Entity Retrieval Representation Learning

Pyndri: a Python Interface to the Indri Search Engine

1 code implementation3 Jan 2017 Christophe Van Gysel, Evangelos Kanoulas, Maarten de Rijke

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

Learning Latent Vector Spaces for Product Search

2 code implementations25 Aug 2016 Christophe Van Gysel, Maarten de Rijke, Evangelos Kanoulas

We introduce a novel latent vector space model that jointly learns the latent representations of words, e-commerce products and a mapping between the two without the need for explicit annotations.

Learning-To-Rank

Lexical Query Modeling in Session Search

1 code implementation23 Aug 2016 Christophe Van Gysel, Evangelos Kanoulas, Maarten de Rijke

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

Unsupervised, Efficient and Semantic Expertise Retrieval

1 code implementation23 Aug 2016 Christophe Van Gysel, Maarten de Rijke, Marcel Worring

We compare our model to state-of-the-art unsupervised statistical vector space and probabilistic generative approaches.

Feature Engineering

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