Browsing Computer Science by Subject "MACHINE LEARNING"
Now showing items 1-11 of 11
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An Evaluation Method for Diachronic Word Sense Induction
(Association for Computational Linguistics, 2020)The task of Diachronic Word Sense Induction (DWSI) aims to identify the meaning of words from their context, taking the temporal dimension into account. In this paper we propose an evaluation method based on large-scale ... -
Following the Trail of Source Languages in Literary Translations
(Springer, 2014)We build on past research in distinguishing English translations from originally English text, and in guessing the source language where the text is deemed to be a translation. We replicate an extant method in relation to ... -
Is It Dish Washer Safe? Automatically Answering "Yes/No'' Questions Using Customer Reviews
(2019)It has become commonplace for people to share their opinions about all kinds of products by posting reviews online. It has also become commonplace for potential customers to do research about the quality and limitations ... -
Meta-Hyperband: Hyperparameter optimization with meta-learning and Coarse-to-Fine
(2020)Hyperparameter optimization is one of the main pillars of machine learning algorithms. In this paper, we introduce Meta-Hyperband: a Hyperband based algorithm that improves the hyperparameter optimization by adding levels ... -
Q. Can Knowledge Graphs be used to Answer Boolean Questions? A. It's complicated!
(Association for Computational Linguistics, 2020)In this paper we explore the problem of machine reading comprehension, focusing on the BoolQ dataset of Yes/No questions. We carryout an error analysis of a BERT-based machine reading comprehension model on this ... -
Semantic reranking of CRF label sequences for verbal multiword expression identification
(Language Science Press, 2018)Verbal multiword Expressions (VMWE) identification can be addressed successfully as a sequence labelling problem via conditional random fields (CRFs) by returning the one label sequence with maximal probability. This work ... -
Structural Characteristics of Knowledge Graphs Determine the Quality of Knowledge Graph Embeddings Across Model and Hyperparameter Choices
(2022)The realm of biomedicine is producing information at a rate far beyond the capacity of clinicians, researchers, and machine learning experts to analyse in full. Recently, developments in Knowledge Graphs (KGs) have ... -
Temporal predictive regression models for linguistic style analysis
(2018)This study focuses on modelling general and individual language change over several decades. A timeline prediction task was used to identify interesting temporal features. Our previous work achieved high accuracy in ... -
Virtual Citation Proximity (VCP): Calculating Co-Citation-Proximity-Based Document Relatedness for Uncited Documents with Machine Learning
(2017)The relatedness of research articles, patents, legal documents, web pages, and other documents is often calculated with citation or hyperlink based approaches such as citation proximity analysis ...