Search Results for author: Brian Davis

Found 30 papers, 9 papers with code

Enriching the E2E dataset

1 code implementation INLG (ACL) 2021 Thiago castro Ferreira, Helena Vaz, Brian Davis, Adriana Pagano

This study introduces an enriched version of the E2E dataset, one of the most popular language resources for data-to-text NLG.

Referring Expression Referring expression generation

Fine-tuning Neural Language Models for Multidimensional Opinion Mining of English-Maltese Social Data

no code implementations RANLP 2021 Keith Cortis, Kanishk Verma, Brian Davis

This paper presents multidimensional Social Opinion Mining on user-generated content gathered from newswires and social networking services in three different languages: English —a high-resourced language, Maltese —a low-resourced language, and Maltese-English —a code-switched language.

Classification Opinion Mining

End-to-end Document Recognition and Understanding with Dessurt

2 code implementations30 Mar 2022 Brian Davis, Bryan Morse, Bryan Price, Chris Tensmeyer, Curtis Wigington, Vlad Morariu

Dessurt is a more flexible model than prior methods and is able to handle a variety of document domains and tasks.

Visual FUDGE: Form Understanding via Dynamic Graph Editing

3 code implementations17 May 2021 Brian Davis, Bryan Morse, Brian Price, Chris Tensmeyer, Curtis Wiginton

FUDGE edits the graph structure by combining text segments (graph vertices) and pruning edges in an iterative fashion to obtain the final text entities and relationships.

Entity Linking

Over a Decade of Social Opinion Mining: A Systematic Review

no code implementations5 Dec 2020 Keith Cortis, Brian Davis

Social media popularity and importance is on the increase due to people using it for various types of social interaction across multiple channels.

Decision Making Management +2

Text and Style Conditioned GAN for Generation of Offline Handwriting Lines

1 code implementation1 Sep 2020 Brian Davis, Chris Tensmeyer, Brian Price, Curtis Wigington, Bryan Morse, Rajiv Jain

This paper presents a GAN for generating images of handwritten lines conditioned on arbitrary text and latent style vectors.

Handwriting generation

Towards the Ontologization of the Outsider Art Domain: Position Paper

no code implementations LREC 2020 John Roberto, Brian Davis

The purpose of this paper is to present a prospective and interdisciplinary research project seeking to ontologize knowledge of the domain of Outsider Art, that is, the art created outside the boundaries of official culture.

BIG-bench Machine Learning

Toward the Automatic Retrieval and Annotation of Outsider Art images: A Preliminary Statement

no code implementations LREC 2020 John Roberto, Diego Ortego, Brian Davis

The aim of this position paper is to establish an initial approach to the automatic classification of digital images about the Outsider Art style of painting.

General Classification

A Social Opinion Gold Standard for the Malta Government Budget 2018

no code implementations WS 2019 Keith Cortis, Brian Davis

We present a gold standard of annotated social opinion for the Malta Government Budget 2018.

Opinion Mining

Deep Visual Template-Free Form Parsing

3 code implementations5 Sep 2019 Brian Davis, Bryan Morse, Scott Cohen, Brian Price, Chris Tensmeyer

Automatic, template-free extraction of information from form images is challenging due to the variety of form layouts.

Start, Follow, Read: End-to-End Full-Page Handwriting Recognition

1 code implementation ECCV 2018 Curtis Wigington, Chris Tensmeyer, Brian Davis, William Barrett, Brian Price, Scott Cohen

Despite decades of research, offline handwriting recognition (HWR) of degraded historical documents remains a challenging problem, which if solved could greatly improve the searchability of online cultural heritage archives.

Handwriting Recognition Handwritten Text Recognition +1

Language Model Supervision for Handwriting Recognition Model Adaptation

no code implementations4 Aug 2018 Chris Tensmeyer, Curtis Wigington, Brian Davis, Seth Stewart, Tony Martinez, William Barrett

Training state-of-the-art offline handwriting recognition (HWR) models requires large labeled datasets, but unfortunately such datasets are not available in all languages and domains due to the high cost of manual labeling. We address this problem by showing how high resource languages can be leveraged to help train models for low resource languages. We propose a transfer learning methodology where we adapt HWR models trained on a source language to a target language that uses the same writing script. This methodology only requires labeled data in the source language, unlabeled data in the target language, and a language model of the target language.

Handwriting Recognition Language Modelling +1

Semantic Relation Classification: Task Formalisation and Refinement

no code implementations WS 2016 Vivian S. Silva, Manuela Hürliman, Brian Davis, Siegfried Handschuh, André Freitas

This work provides a critique on the set of abstract relations used for semantic relation classification with regard to their ability to express relationships between terms which are found in a domain-specific corpora.

Classification General Classification +1

DINFRA: A One Stop Shop for Computing Multilingual Semantic Relatedness

no code implementations16 May 2018 Siamak Barzegar, Juliano Efson Sales, Andre Freitas, Siegfried Handschuh, Brian Davis

This demonstration presents an infrastructure for computing multilingual semantic relatedness and correlation for twelve natural languages by using three distributional semantic models (DSMs).

Composite Semantic Relation Classification

no code implementations16 May 2018 Siamak Barzegar, Andre Freitas, Siegfried Handschuh, Brian Davis

Different semantic interpretation tasks such as text entailment and question answering require the classification of semantic relations between terms or entities within text.

BIG-bench Machine Learning Classification +3

FinSentiA: Sentiment Analysis in English Financial Microblogs

no code implementations JEPTALNRECITAL 2018 Thomas Gaillat, Ann Sousa, a, Manel Zarrouk, Brian Davis

FinSentiA: Sentiment Analysis in English Financial Microblogs The objective of this paper is to report on the building of a Sentiment Analysis (SA) system dedicated to financial microblogs in English.

Sentiment Analysis

PageNet: Page Boundary Extraction in Historical Handwritten Documents

1 code implementation5 Sep 2017 Chris Tensmeyer, Brian Davis, Curtis Wigington, Iain Lee, Bill Barrett

When digitizing a document into an image, it is common to include a surrounding border region to visually indicate that the entire document is present in the image.

SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News

no code implementations SEMEVAL 2017 Keith Cortis, Andr{\'e} Freitas, Tobias Daudert, Manuela Huerlimann, Manel Zarrouk, H, Siegfried schuh, Brian Davis

This paper discusses the {``}Fine-Grained Sentiment Analysis on Financial Microblogs and News{''} task as part of SemEval-2017, specifically under the {``}Detecting sentiment, humour, and truth{''} theme.

Sentiment Analysis

A Brief State of the Art for Ontology Authoring

no code implementations11 Jun 2014 Hazem Safwat, Brian Davis

One of the main challenges for building the Semantic web is Ontology Authoring.

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