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07/17/2023
On the application of Large Language Models for language teaching and assessment technology
The recent release of very large language models such as PaLM and GPT-4 ...
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05/22/2023
Logical Reasoning for Natural Language Inference Using Generated Facts as Atoms
State-of-the-art neural models can now reach human performance levels ac...
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05/22/2023
Improving Robustness in Knowledge Distillation Using Domain-Targeted Data Augmentation
Applying knowledge distillation encourages a student model to behave mor...
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03/14/2023
Finding the Needle in a Haystack: Unsupervised Rationale Extraction from Long Text Classifiers
Long-sequence transformers are designed to improve the representation of...
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02/24/2023
Modelling Temporal Document Sequences for Clinical ICD Coding
Past studies on the ICD coding problem focus on predicting clinical code...
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02/12/2023
An Extended Sequence Tagging Vocabulary for Grammatical Error Correction
We extend a current sequence-tagging approach to Grammatical Error Corre...
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10/28/2022
Probing for targeted syntactic knowledge through grammatical error detection
Targeted studies testing knowledge of subject-verb agreement (SVA) indic...
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05/23/2022
Logical Reasoning with Span Predictions: Span-level Logical Atoms for Interpretable and Robust NLI Models
Current Natural Language Inference (NLI) models achieve impressive resul...
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10/15/2021
Control Prefixes for Text Generation
Prompt learning methods adapt pre-trained language models to downstream ...
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10/15/2021
Guiding Visual Question Generation
In traditional Visual Question Generation (VQG), most images have multip...
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10/07/2021
Contextual Sentence Classification: Detecting Sustainability Initiatives in Company Reports
We introduce the novel task of detecting sustainability initiatives in c...
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04/16/2021
Natural Language Inference with a Human Touch: Using Human Explanations to Guide Model Attention
Natural Language Inference (NLI) models are known to learn from biases a...
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04/08/2021
How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection
Metaphors are widely used in political rhetoric as an effective framing ...
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03/26/2021
Turning transformer attention weights into zero-shot sequence labelers
We demonstrate how transformer-based models can be redesigned in order t...
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03/12/2021
Improving Translation Robustness with Visual Cues and Error Correction
Neural Machine Translation models are brittle to input noise. Current ro...
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11/01/2020
Seeing Both the Forest and the Trees: Multi-head Attention for Joint Classification on Different Compositional Levels
In natural languages, words are used in association to construct sentenc...
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10/23/2020
GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method
Large pre-trained language models such as BERT have been the driving for...
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10/15/2020
Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses
Evaluation of grammatical error correction (GEC) systems has primarily f...
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05/11/2020
Multidirectional Associative Optimization of Function-Specific Word Representations
We present a neural framework for learning associations between interrel...
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11/26/2019
Semi-supervised Bootstrapping of Dialogue State Trackers for Task Oriented Modelling
Dialogue systems benefit greatly from optimizing on detailed annotations...
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10/01/2019
Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models
Word embeddings are an essential component in a wide range of natural la...
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06/15/2019
Context is Key: Grammatical Error Detection with Contextual Word Representations
Grammatical error detection (GED) in non-native writing requires systems...
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11/30/2018
Advance Prediction of Ventricular Tachyarrhythmias using Patient Metadata and Multi-Task Networks
We describe a novel neural network architecture for the prediction of ve...
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11/14/2018
Jointly Learning to Label Sentences and Tokens
Learning to construct text representations in end-to-end systems can be ...
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05/23/2018
Scoring Lexical Entailment with a Supervised Directional Similarity Network
We present the Supervised Directional Similarity Network (SDSN), a novel...
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05/06/2018
Zero-shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens
Can attention- or gradient-based visualization techniques be used to inf...
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01/21/2018
Neural Multi-task Learning in Automated Assessment
Grammatical error detection and automated essay scoring are two tasks in...
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09/02/2017
Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection
The ubiquity of metaphor in our everyday communication makes it an impor...
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07/21/2017
An Error-Oriented Approach to Word Embedding Pre-Training
We propose a novel word embedding pre-training approach that exploits wr...
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07/17/2017
Artificial Error Generation with Machine Translation and Syntactic Patterns
Shortage of available training data is holding back progress in the area...
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07/17/2017
Detecting Off-topic Responses to Visual Prompts
Automated methods for essay scoring have made great progress in recent y...
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07/17/2017
Auxiliary Objectives for Neural Error Detection Models
We investigate the utility of different auxiliary objectives and trainin...
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04/24/2017
Semi-supervised Multitask Learning for Sequence Labeling
We propose a sequence labeling framework with a secondary training objec...
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11/14/2016
Attending to Characters in Neural Sequence Labeling Models
Sequence labeling architectures use word embeddings for capturing simila...
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07/20/2016
Compositional Sequence Labeling Models for Error Detection in Learner Writing
In this paper, we present the first experiments using neural network mod...
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06/14/2016
Automatic Text Scoring Using Neural Networks
Automated Text Scoring (ATS) provides a cost-effective and consistent al...
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06/09/2016
Sentence Similarity Measures for Fine-Grained Estimation of Topical Relevance in Learner Essays
We investigate the task of assessing sentence-level prompt relevance in ...
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06/08/2016
A Joint Model for Word Embedding and Word Morphology
This paper presents a joint model for performing unsupervised morphologi...
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08/16/2015
