Search Results for author: David A. Smith

Found 11 papers, 3 papers with code

Composition and Deformance: Measuring Imageability with a Text-to-Image Model

1 code implementation5 Jun 2023 Si Wu, David A. Smith

Although psycholinguists and psychologists have long studied the tendency of linguistic strings to evoke mental images in hearers or readers, most computational studies have applied this concept of imageability only to isolated words.

Image Captioning Text-to-Image Generation

Adapting Transformer Language Models for Predictive Typing in Brain-Computer Interfaces

no code implementations5 May 2023 Shijia Liu, David A. Smith

Brain-computer interfaces (BCI) are an important mode of alternative and augmentative communication for many people.

Digital Editions as Distant Supervision for Layout Analysis of Printed Books

1 code implementation23 Dec 2021 Alejandro H. Toselli, Si Wu, David A. Smith

Using markup schemes such as those of the Text Encoding Initiative and EpiDoc, these digital editions often record documents' semantic regions (such as notes and figures) and physical features (such as page and line breaks) as well as transcribing their textual content.

Recovering Lexically and Semantically Reused Texts

1 code implementation Joint Conference on Lexical and Computational Semantics 2021 Ansel MacLaughlin, Shaobin Xu, David A. Smith

In extensive experiments, we study the relative performance of four classes of neural and bag-of-words models on three LTRD tasks {--} detecting plagiarism, modeling journalists{'} use of press releases, and identifying scientists{'} citation of earlier papers.

Semantic Textual Similarity

New Revival Phenomena for Linear Integro-Differential Equations

no code implementations3 Oct 2020 Lyonell Boulton, Peter J. Olver, Beatrice Pelloni, David A. Smith

We present and analyse a novel manifestation of the revival phenomenon for linear spatially periodic evolution equations, in the concrete case of three nonlocal equations that arise in water wave theory and are defined by convolution kernels.

Analysis of PDEs Mathematical Physics Mathematical Physics Primary: 35C05. Secondary: 35B65, 35R09

Contrastive Training for Models of Information Cascades

no code implementations11 Dec 2018 Shaobin Xu, David A. Smith

This paper proposes a model of information cascades as directed spanning trees (DSTs) over observed documents.

Multilingual Topic Models

no code implementations18 Dec 2017 Kriste Krstovski, Michael J. Kurtz, David A. Smith, Alberto Accomazzi

Scientific publications have evolved several features for mitigating vocabulary mismatch when indexing, retrieving, and computing similarity between articles.

Topic Models

Cannot find the paper you are looking for? You can Submit a new open access paper.