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05/23/2023
BAND: Biomedical Alert News Dataset
Infectious disease outbreaks continue to pose a significant threat to hu...
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05/22/2023
Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization
Biomedical named entity recognition is one of the core tasks in biomedic...
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05/21/2023
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs
Large language models (LLMs) have shown great abilities of solving vario...
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04/08/2023
Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder
The sequence-to-sequence (seq2seq) task aims at generating the target se...
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03/25/2023
COFFEE: A Contrastive Oracle-Free Framework for Event Extraction
Event extraction is a complex information extraction task that involves ...
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01/24/2023
A Stability Analysis of Fine-Tuning a Pre-Trained Model
Fine-tuning a pre-trained model (such as BERT, ALBERT, RoBERTa, T5, GPT,...
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12/09/2022
Plug-and-Play Recipe Generation with Content Planning
Recent pre-trained language models have shown promising capabilities in ...
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11/28/2022
On the Effectiveness of Parameter-Efficient Fine-Tuning
Fine-tuning pre-trained models has been ubiquitously proven to be effect...
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10/25/2022
Contrastive Search Is What You Need For Neural Text Generation
Generating text with autoregressive language models (LMs) is of great im...
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02/13/2022
A Contrastive Framework for Neural Text Generation
Text generation is of great importance to many natural language processi...
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09/19/2021
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models
Recent work indicated that pretrained language models (PLMs) such as BER...
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09/10/2021
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT
Infusing factual knowledge into pre-trained models is fundamental for ma...
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08/31/2021
Plan-then-Generate: Controlled Data-to-Text Generation via Planning
Recent developments in neural networks have led to the advance in data-t...
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08/27/2021
Few-Shot Table-to-Text Generation with Prototype Memory
Neural table-to-text generation models have achieved remarkable progress...
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05/30/2021
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking
Injecting external domain-specific knowledge (e.g., UMLS) into pretraine...
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04/16/2021
Fast, Effective and Self-Supervised: Transforming Masked LanguageModels into Universal Lexical and Sentence Encoders
Pretrained Masked Language Models (MLMs) have revolutionised NLP in rece...
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02/16/2021
Non-Autoregressive Text Generation with Pre-trained Language Models
Non-autoregressive generation (NAG) has recently attracted great attenti...
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12/29/2020
Dialogue Response Selection with Hierarchical Curriculum Learning
We study the learning of a matching model for dialogue response selectio...
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10/22/2020
Self-alignment Pre-training for Biomedical Entity Representations
Despite the widespread success of self-supervised learning via masked la...
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10/07/2020
COMETA: A Corpus for Medical Entity Linking in the Social Media
Whilst there has been growing progress in Entity Linking (EL) for genera...
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09/28/2020
Visual Pivoting for (Unsupervised) Entity Alignment
This work studies the use of visual semantic representations to align en...
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09/25/2020
Hierarchical Sparse Variational Autoencoder for Text Encoding
In this paper we focus on unsupervised representation learning and propo...
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05/01/2020
Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter
We present a new challenging stance detection dataset, called Will-They-...
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04/05/2020
Prototype-to-Style: Dialogue Generation with Style-Aware Editing on Retrieval Memory
The ability of a dialog system to express prespecified language style du...
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04/05/2020
Stylistic Dialogue Generation via Information-Guided Reinforcement Learning Strategy
Stylistic response generation is crucial for building an engaging dialog...
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11/21/2019
Global Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases
We present the Global Health Monitor, an online Web-based system for det...
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11/21/2019
An Empirical Study of Sections in Classifying Disease Outbreak Reports
Identifying articles that relate to infectious diseases is a necessary s...
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09/30/2019
On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation
Variational Autoencoders (VAEs) are known to suffer from learning uninfo...
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04/05/2019
Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models
We present a novel method for mapping unrestricted text to knowledge gra...
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11/12/2018
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces
Word embedding techniques heavily rely on the abundance of training data...
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10/29/2018
A Pragmatic Guide to Geoparsing Evaluation
Empirical methods in geoparsing have thus far lacked a standard evaluati...
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08/28/2018
Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models
Rare word representation has recently enjoyed a surge of interest, owing...
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08/23/2018
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
This paper addresses the problem of mapping natural language text to kno...
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10/18/2017
Towards a Seamless Integration of Word Senses into Downstream NLP Applications
Lexical ambiguity can impede NLP systems from accurate understanding of ...
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07/24/2017
Learning Rare Word Representations using Semantic Bridging
We propose a methodology that adapts graph embedding techniques (DeepWal...
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08/05/2016
De-Conflated Semantic Representations
One major deficiency of most semantic representation techniques is that ...
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08/10/2015
Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages
Previous studies have shown that health reports in social media, such as...
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03/02/2012
