Search Results for author:
Found 35 papers, 9 papers with code
Another PASS: A Reproduction Study of the Human Evaluation of a Football Report Generation System
Clarity had a higher degree of reproducibility than Fluency, as measured by the coefficient of variation.
Enriching the E2E dataset
This study introduces an enriched version of the E2E dataset, one of the most popular language resources for data-to-text NLG.
Fine-tuning Neural Language Models for Multidimensional Opinion Mining of English-Maltese Social Data
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.
Can Attention-based Transformers Explain or Interpret Cyberbullying Detection?
Automated textual cyberbullying detection is known to be a challenging task.
Benchmarking Language Models for Cyberbullying Identification and Classification from Social-media Texts
Cyberbullying is bullying perpetrated via the medium of modern communication technologies like social media networks and gaming platforms.
Baseline English and Maltese-English Classification Models for Subjectivity Detection, Sentiment Analysis, Emotion Analysis, Sarcasm Detection, and Irony Detection
This paper presents baseline classification models for subjectivity detection, sentiment analysis, emotion analysis, sarcasm detection, and irony detection.
A Systematic Review of Data-to-Text NLG
Relevant literature in this field on datasets, evaluation metrics, application areas, multilingualism, language models, and hallucination mitigation methods is reviewed.
DeepQC: A Deep Learning System for Automatic Quality Control of In-situ Soil Moisture Sensor Time Series Data
Flagit corrected flagged 95. 5% of the corrected observations and 50. 3% of the anomaly observations, indicating its limitations in identifying anomalies.
End-to-end Document Recognition and Understanding with Dessurt
Dessurt is a more flexible model than prior methods and is able to handle a variety of document domains and tasks.
Ranked #31 on
Visual Question Answering (VQA)
on DocVQA test
Visual FUDGE: Form Understanding via Dynamic Graph Editing
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.
Over a Decade of Social Opinion Mining: A Systematic Review
Social media popularity and importance is on the increase due to people using it for various types of social interaction across multiple channels.
Text and Style Conditioned GAN for Generation of Offline Handwriting Lines
This paper presents a GAN for generating images of handwritten lines conditioned on arbitrary text and latent style vectors.
Toward the Automatic Retrieval and Annotation of Outsider Art images: A Preliminary Statement
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.
Towards the Ontologization of the Outsider Art Domain: Position Paper
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
Cultural Vocal Bursts Intensity Prediction
+1
A Social Opinion Gold Standard for the Malta Government Budget 2018
We present a gold standard of annotated social opinion for the Malta Government Budget 2018.
Deep Visual Template-Free Form Parsing
Automatic, template-free extraction of information from form images is challenging due to the variety of form layouts.
On Network Science and Mutual Information for Explaining Deep Neural Networks
In this paper, we present a new approach to interpret deep learning models.
Start, Follow, Read: End-to-End Full-Page Handwriting Recognition
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.
Ranked #12 on
Handwritten Text Recognition
on IAM
Language Model Supervision for Handwriting Recognition Model Adaptation
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.
Implicit and Explicit Aspect Extraction in Financial Microblogs
This paper focuses on aspect extraction which is a sub-task of Aspect-based Sentiment Analysis.
Semantic Relation Classification: Task Formalisation and Refinement
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.
DINFRA: A One Stop Shop for Computing Multilingual Semantic Relatedness
This demonstration presents an infrastructure for computing multilingual semantic relatedness and correlation for twelve natural languages by using three distributional semantic models (DSMs).
Semantic Relatedness for All (Languages): A Comparative Analysis of Multilingual Semantic Relatedness Using Machine Translation
The results also show that the benefit of using the most informative corpus outweighs the possible errors introduced by the machine translation.
Composite Semantic Relation Classification
Different semantic interpretation tasks such as text entailment and question answering require the classification of semantic relations between terms or entities within text.
FinSentiA: Sentiment Analysis in English Financial Microblogs
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.
PageNet: Page Boundary Extraction in Historical Handwritten Documents
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
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.
A Brief State of the Art for Ontology Authoring
One of the main challenges for building the Semantic web is Ontology Authoring.
