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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 ...

0 Kailai Yang, et al. ∙

∙ 07/05/2023

Graph Contrastive Topic Model

Existing NTMs with contrastive learning suffer from the sample bias prob...

0 Zheheng Luo, et al. ∙

∙ 05/23/2023

Disentangled Variational Autoencoder for Emotion Recognition in Conversations

In Emotion Recognition in Conversations (ERC), the emotions of target ut...

0 Kailai Yang, et al. ∙

∙ 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...

0 Shaoxiong Ji, et al. ∙

∙ 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...

2 Tianlin Zhang, et al. ∙

∙ 04/18/2023

A Survey on Biomedical Text Summarization with Pre-trained Language Model

The exponential growth of biomedical texts such as biomedical literature...

0 Qianqian Xie, et al. ∙

∙ 04/11/2023

Zero-shot Temporal Relation Extraction with ChatGPT

The goal of temporal relation extraction is to infer the temporal relati...

0 Chenhan Yuan, et al. ∙

∙ 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...

0 Kailai Yang, et al. ∙

∙ 03/27/2023

ChatGPT as a Factual Inconsistency Evaluator for Abstractive Text Summarization

The performance of abstractive text summarization has been greatly boost...

0 Zheheng Luo, et al. ∙

∙ 02/10/2023

Span-based Named Entity Recognition by Generating and Compressing Information

The information bottleneck (IB) principle has been proven effective in v...

0 Nhung T. H. Nguyen, et al. ∙

∙ 02/07/2023

Cluster-Level Contrastive Learning for Emotion Recognition in Conversations

A key challenge for Emotion Recognition in Conversations (ERC) is to dis...

0 Kailai Yang, et al. ∙

∙ 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...

0 Zheheng Luo, et al. ∙

∙ 10/10/2022

Readability Controllable Biomedical Document Summarization

Different from general documents, it is recognised that the ease with wh...

0 Zheheng Luo, et al. ∙

∙ 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...

0 Qianqian Xie, et al. ∙

∙ 04/01/2022

Learning Disentangled Representations of Negation and Uncertainty

Negation and uncertainty modeling are long-standing tasks in natural lan...

0 Jake Vasilakes, et al. ∙

∙ 02/17/2022

Transformer for Graphs: An Overview from Architecture Perspective

Recently, Transformer model, which has achieved great success in many ar...

0 Erxue Min, et al. ∙

∙ 01/25/2022

Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction

Click-Through Rate (CTR) prediction, is an essential component of online...

0 Erxue Min, et al. ∙

∙ 07/28/2021

Investigating Text Simplification Evaluation

Modern text simplification (TS) heavily relies on the availability of go...

0 Laura Vásquez-Rodríguez, et al. ∙

∙ 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...

0 Jiarun Cao, et al. ∙

∙ 04/16/2021

Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors

We propose a multi-task, probabilistic approach to facilitate distantly ...

14 Fenia Christopoulou, et al. ∙

∙ 03/23/2021

HSEarch: semantic search system for workplace accident reports

Semantic search engines, which integrate the output of text mining (TM) ...

0 Emrah Inan, et al. ∙

∙ 01/25/2021

SpanEmo: Casting Multi-label Emotion Classification as Span-prediction

Emotion recognition (ER) is an important task in Natural Language Proces...

0 Hassan Alhuzali, et al. ∙

∙ 04/30/2020

Revisiting Unsupervised Relation Extraction

Unsupervised relation extraction (URE) extracts relations between named ...

0 Thy Thy Tran, et al. ∙

∙ 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 ...

0 Kurt Espinosa, et al. ∙

∙ 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...

0 Fenia Christopoulou, et al. ∙

∙ 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...

0 Sunil Kumar Sahu, et al. ∙

∙ 05/13/2019

Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks

When constructing models that learn from noisy labels produced by multip...

0 Maolin Li, et al. ∙

∙ 02/19/2019

A Walk-based Model on Entity Graphs for Relation Extraction

We present a novel graph-based neural network model for relation extract...

0 Fenia Christopoulou, et al. ∙

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