Search Results for author: Daniel Beck

Found 27 papers, 6 papers with code

Evaluating Hierarchical Document Categorisation

no code implementations ALTA 2021 Qian Sun, Aili Shen, Hiyori Yoshikawa, Chunpeng Ma, Daniel Beck, Tomoya Iwakura, Timothy Baldwin

Hierarchical document categorisation is a special case of multi-label document categorisation, where there is a taxonomic hierarchy among the labels.

Modelling Emotion Dynamics in Song Lyrics with State Space Models

no code implementations17 Oct 2022 Yingjin Song, Daniel Beck

In this work, we propose a method to predict emotion dynamics in song lyrics without song-level supervision.

Emotion Recognition Music Emotion Recognition +4

Generating Diverse Descriptions from Semantic Graphs

1 code implementation INLG (ACL) 2021 Jiuzhou Han, Daniel Beck, Trevor Cohn

Text generation from semantic graphs is traditionally performed with deterministic methods, which generate a unique description given an input graph.

Decoder Diversity +1

On the (In)Effectiveness of Images for Text Classification

no code implementations EACL 2021 Chunpeng Ma, Aili Shen, Hiyori Yoshikawa, Tomoya Iwakura, Daniel Beck, Timothy Baldwin

Images are core components of multi-modal learning in natural language processing (NLP), and results have varied substantially as to whether images improve NLP tasks or not.

text-classification Text Classification

BOSS: Bayesian Optimization over String Spaces

1 code implementation NeurIPS 2020 Henry B. Moss, Daniel Beck, Javier Gonzalez, David S. Leslie, Paul Rayson

This article develops a Bayesian optimization (BO) method which acts directly over raw strings, proposing the first uses of string kernels and genetic algorithms within BO loops.

Bayesian Optimization

Modelling Uncertainty in Collaborative Document Quality Assessment

no code implementations WS 2019 Aili Shen, Daniel Beck, Bahar Salehi, Jianzhong Qi, Timothy Baldwin

In the context of document quality assessment, previous work has mainly focused on predicting the quality of a document relative to a putative gold standard, without paying attention to the subjectivity of this task.

Decision Making Gaussian Processes

Neural Speech Translation using Lattice Transformations and Graph Networks

no code implementations WS 2019 Daniel Beck, Trevor Cohn, Gholamreza Haffari

Speech translation systems usually follow a pipeline approach, using word lattices as an intermediate representation.

Translation

On the Role of Scene Graphs in Image Captioning

no code implementations WS 2019 Dalin Wang, Daniel Beck, Trevor Cohn

Scene graphs represent semantic information in images, which can help image captioning system to produce more descriptive outputs versus using only the image as context.

Descriptive Image Captioning

A Unified Neural Architecture for Instrumental Audio Tasks

1 code implementation1 Mar 2019 Steven Spratley, Daniel Beck, Trevor Cohn

Within Music Information Retrieval (MIR), prominent tasks -- including pitch-tracking, source-separation, super-resolution, and synthesis -- typically call for specialised methods, despite their similarities.

Information Retrieval Music Information Retrieval +3

Exploring Prediction Uncertainty in Machine Translation Quality Estimation

no code implementations CONLL 2016 Daniel Beck, Lucia Specia, Trevor Cohn

Machine Translation Quality Estimation is a notoriously difficult task, which lessens its usefulness in real-world translation environments.

Machine Translation Translation

Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization

no code implementations NAACL 2016 Daniel Beck, Adrià De Gispert, Gonzalo Iglesias, Aurelien Waite, Bill Byrne

We address the problem of automatically finding the parameters of a statistical machine translation system that maximize BLEU scores while ensuring that decoding speed exceeds a minimum value.

Bayesian Optimization Machine Translation +1

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