Publications related to Distributional semantics

Text as a Richer Source of Supervision in Semantic Segmentation Tasks

Devis Tuia, Valérie Zermatten, Javiera Francisca Castillo Navarro, Lloyd Haydn Hughes

This paper introduces TACOSS a text-image alignment approach that allows explainable land cover semantic segmentation by directly integrating semantic concepts encoded from texts. TACOSS combines convolutional neural networks for visual feature extraction ...

The Institute of Electrical and Electronics Engineers, Inc2023

Natural Language Processing (NLP) driven categorisation and detection of discourse in historical US patents

Jérôme Baudry, Nicolas Christophe Chachereau, Bhargav Srinivasa Desikan, Prakhar Gupta

Patents have traditionally been used in the history of technology as an indication of the thinking process of the inventors, of the challenges or “reverse salients” they faced, or of the social groups influencing the construction of technology. More recent ...

2022

Kinesthetic motor-imagery training improves performance on lexical-semantic access

Sylvain Jean-François Harquel, Camille Bonnet

The objective of this study was to evaluate the effect of Motor Imagery (MI) training on language comprehension. In line with literature suggesting an intimate relationship between the language and the motor system, we proposed that a MI-training could imp ...

PUBLIC LIBRARY SCIENCE2022

Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation

Pascal Fua, Mathieu Salzmann, Helge Jochen Rhodin, Victor Constantin, Sina Honari

In this paper we propose an unsupervised feature extraction method to capture temporal information on monocular videos, where we detect and encode subject of interest in each frame and leverage contrastive self-supervised (CSS) learning to extract rich lat ...

2022

Poster World. Bespoke AI Meets Curator Expertise for Public Engagement

Mathieu Salzmann, Delphine Ribes Lemay, Nicolas Henchoz, Emily Clare Groves, Andrea Regula Schneider

Though museums are digitising their archives, online consultations remain low. New forms of engagement bring these digital memories to life and can support museums in maintaining and developing digital resources. Artificial Intelligence presents opportunit ...

2022

Kenneth Younge, Omid Shahmirzadi, Adam Lugowski

Automatic measurement of semantic text similarity is an important task in natural language processing. In this paper, we evaluate the performance of different vector space models to perform this task. We address the real-world problem of modeling patent-to ...

2018

Cross-lingual Linking of Multi-word Entities and their corresponding Acronyms

Maud Ehrmann

This paper reports on an approach and experiments to automatically build a cross-lingual multi-word entity resource. Starting from a collection of millions of acronym/expansion pairs for 22 languages where expansion variants were grouped into monolingual c ...

European Language Resources Association (ELRA)2016

Question Answering in Conversations: Query Refinement Using Contextual and Semantic Information

Andrei Popescu-Belis, Maryam Habibi, Parvaz Mahdabi

This paper introduces a query refinement method applied to questions asked by users to a system during a meeting or a conversation that they have with other users. To answer the questions, the proposed method leverages the local context of the conversation ...

Idiap2016

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Distributional semantics

Text as a Richer Source of Supervision in Semantic Segmentation Tasks

Natural Language Processing (NLP) driven categorisation and detection of discourse in historical US patents

Kinesthetic motor-imagery training improves performance on lexical-semantic access

Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation

Poster World. Bespoke AI Meets Curator Expertise for Public Engagement

Text Similarity in Vector Space Models: A Comparative Study

Learning Explainable User Sentiment and Preferences for Information Filtering

Cross-lingual Linking of Multi-word Entities and their corresponding Acronyms

Question Answering in Conversations: Query Refinement Using Contextual and Semantic Information

Keyword Extraction and Clustering for Document Recommendation in Conversations

Graph Chatbot

Chat with Graph Search

Natural Language Processing (NLP) driven categorisation and detection of discourse in historical US patents

Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation

Kinesthetic motor-imagery training improves performance on lexical-semantic access

Cross-lingual Linking of Multi-word Entities and their corresponding Acronyms

Poster World. Bespoke AI Meets Curator Expertise for Public Engagement

Text Similarity in Vector Space Models: A Comparative Study

Text as a Richer Source of Supervision in Semantic Segmentation Tasks

Learning Explainable User Sentiment and Preferences for Information Filtering

Keyword Extraction and Clustering for Document Recommendation in Conversations

Question Answering in Conversations: Query Refinement Using Contextual and Semantic Information