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08/09/2023
A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge
The context-aware emotional reasoning ability of AI systems, especially ...
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07/05/2023
Graph Contrastive Topic Model
Existing NTMs with contrastive learning suffer from the sample bias prob...
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05/23/2023
Disentangled Variational Autoencoder for Emotion Recognition in Conversations
In Emotion Recognition in Conversations (ERC), the emotions of target ut...
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04/20/2023
Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health
Pretrained language models have been used in various natural language pr...
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04/19/2023
Emotion fusion for mental illness detection from social media: A survey
Mental illnesses are one of the most prevalent public health problems wo...
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04/18/2023
A Survey on Biomedical Text Summarization with Pre-trained Language Model
The exponential growth of biomedical texts such as biomedical literature...
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04/11/2023
Zero-shot Temporal Relation Extraction with ChatGPT
The goal of temporal relation extraction is to infer the temporal relati...
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04/06/2023
On the Evaluations of ChatGPT and Emotion-enhanced Prompting for Mental Health Analysis
Automated mental health analysis shows great potential for enhancing the...
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03/27/2023
ChatGPT as a Factual Inconsistency Evaluator for Abstractive Text Summarization
The performance of abstractive text summarization has been greatly boost...
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02/10/2023
Span-based Named Entity Recognition by Generating and Compressing Information
The information bottleneck (IB) principle has been proven effective in v...
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02/07/2023
Cluster-Level Contrastive Learning for Emotion Recognition in Conversations
A key challenge for Emotion Recognition in Conversations (ERC) is to dis...
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01/26/2023
CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization
Citation graphs can be helpful in generating high-quality summaries of s...
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10/10/2022
Readability Controllable Biomedical Document Summarization
Different from general documents, it is recognised that the ease with wh...
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08/21/2022
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization
Recently, neural topic models (NTMs) have been incorporated into pre-tra...
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04/01/2022
Learning Disentangled Representations of Negation and Uncertainty
Negation and uncertainty modeling are long-standing tasks in natural lan...
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02/17/2022
Transformer for Graphs: An Overview from Architecture Perspective
Recently, Transformer model, which has achieved great success in many ar...
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01/25/2022
Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction
Click-Through Rate (CTR) prediction, is an essential component of online...
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07/28/2021
Investigating Text Simplification Evaluation
Modern text simplification (TS) heavily relies on the availability of go...
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06/11/2021
EPICURE Ensemble Pretrained Models for Extracting Cancer Mutations from Literature
To interpret the genetic profile present in a patient sample, it is nece...
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04/16/2021
Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors
We propose a multi-task, probabilistic approach to facilitate distantly ...
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03/23/2021
HSEarch: semantic search system for workplace accident reports
Semantic search engines, which integrate the output of text mining (TM) ...
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01/25/2021
SpanEmo: Casting Multi-label Emotion Classification as Span-prediction
Emotion recognition (ER) is an important task in Natural Language Proces...
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04/30/2020
Revisiting Unsupervised Relation Extraction
Unsupervised relation extraction (URE) extracts relations between named ...
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10/22/2019
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection
We tackle the nested and overlapping event detection task and propose a ...
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08/31/2019
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs
Document-level relation extraction is a complex human process that requi...
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06/11/2019
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network
Inter-sentence relation extraction deals with a number of complex semant...
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05/13/2019
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks
When constructing models that learn from noisy labels produced by multip...
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02/19/2019
