Search Results for author: Hua Xu

Found 31 papers, 14 papers with code

Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues

no code implementations BioNLP (ACL) 2022 Avisha Das, Salih Selek, Alia R. Warner, Xu Zuo, Yan Hu, Vipina Kuttichi Keloth, Jianfu Li, W. Jim Zheng, Hua Xu

Through quantitative evaluation of the linguistic quality, we observe that the dialog generation model - DialoGPT (345M) with transfer learning on video data attains scores similar to a human response baseline.

Response Generation Transfer Learning

M-SENA: An Integrated Platform for Multimodal Sentiment Analysis

3 code implementations ACL 2022 Huisheng Mao, Ziqi Yuan, Hua Xu, Wenmeng Yu, Yihe Liu, Kai Gao

The platform features a fully modular video sentiment analysis framework consisting of data management, feature extraction, model training, and result analysis modules.

Multimodal Sentiment Analysis

Towards Open Intent Detection

1 code implementation11 Mar 2022 Hanlei Zhang, Hua Xu, Shaojie Zhao, Qianrui Zhou

On the one hand, the existing methods have limitations in learning robust representations to detect the open intent without any prior knowledge.

Natural Language Understanding Open Intent Detection

Consistent Representation Learning for Continual Relation Extraction

1 code implementation Findings (ACL) 2022 Kang Zhao, Hua Xu, Jiangong Yang, Kai Gao

Specifically, supervised contrastive learning based on a memory bank is first used to train each new task so that the model can effectively learn the relation representation.

Continual Relation Extraction Contrastive Learning +2

Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data

1 code implementation3 Oct 2021 Laila Rasmy, Jie Zhu, Zhiheng Li, Xin Hao, Hong Thoai Tran, Yujia Zhou, Firat Tiryaki, Yang Xiang, Hua Xu, Degui Zhi

As a result, deep learning models developed for sequence modeling, like recurrent neural networks (RNNs) are common architecture for EHR-based clinical events predictive models.

Natural Language Processing

An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles

no code implementations4 Aug 2021 Greg M. Silverman, Raymond L. Finzel, Michael V. Heinz, Jake Vasilakes, Jacob C. Solinsky, Reed McEwan, Benjamin C. Knoll, Christopher J. Tignanelli, Hongfang Liu, Hua Xu, Xiaoqian Jiang, Genevieve B. Melton, Serguei VS Pakhomov

Our objective in this study is to investigate the behavior of Boolean operators on combining annotation output from multiple Natural Language Processing (NLP) systems across multiple corpora and to assess how filtering by aggregation of Unified Medical Language System (UMLS) Metathesaurus concepts affects system performance for Named Entity Recognition (NER) of UMLS concepts.

named-entity-recognition Natural Language Processing +1

RGB Image Classification with Quantum Convolutional Ansaetze

no code implementations23 Jul 2021 Yu Jing, Xiaogang Li, Yang Yang, Chonghang Wu, Wenbing Fu, Wei Hu, Yuanyuan Li, Hua Xu

With the rapid growth of qubit numbers and coherence times in quantum hardware technology, implementing shallow neural networks on the so-called Noisy Intermediate-Scale Quantum (NISQ) devices has attracted a lot of interest.

Classification Image Classification

Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature

no code implementations24 Jun 2021 Dalton Schutte, Jake Vasilakes, Anu Bompelli, Yuqi Zhou, Marcelo Fiszman, Hua Xu, Halil Kilicoglu, Jeffrey R. Bishop, Terrence Adam, Rui Zhang

MATERIALS AND METHODS: We created SemRepDS (an extension of SemRep), capable of extracting semantic relations from abstracts by leveraging a DS-specific terminology (iDISK) containing 28, 884 DS terms not found in the UMLS.

Deep Open Intent Classification with Adaptive Decision Boundary

1 code implementation18 Dec 2020 Hanlei Zhang, Hua Xu, Ting-En Lin

In this paper, we propose a post-processing method to learn the adaptive decision boundary (ADB) for open intent classification.

Classification General Classification +2

Discovering New Intents with Deep Aligned Clustering

2 code implementations16 Dec 2020 Hanlei Zhang, Hua Xu, Ting-En Lin, Rui Lyu

In this work, we propose an effective method, Deep Aligned Clustering, to discover new intents with the aid of the limited known intent data.

Open Intent Discovery Short Text Clustering

Cross-Modal BERT for Text-Audio Sentiment Analysis

1 code implementation ACM Multimedia 2020 Kaicheng Yang, Hua Xu, Kai Gao

In this paper, we propose the Cross-Modal BERT (CM-BERT), which relies on the interaction of text and audio modality to fine-tune the pre-trained BERT model.

Multimodal Sentiment Analysis Natural Language Inference +2

COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model

no code implementations13 Jul 2020 Jingqi Wang, Noor Abu-el-rub, Josh Gray, Huy Anh Pham, Yujia Zhou, Frank Manion, Mei Liu, Xing Song, Hua Xu, Masoud Rouhizadeh, Yaoyun Zhang

To this end, this study aims at adapting the existing CLAMP natural language processing tool to quickly build COVID-19 SignSym, which can extract COVID-19 signs/symptoms and their 8 attributes (body location, severity, temporal expression, subject, condition, uncertainty, negation, and course) from clinical text.

Natural Language Processing

Finding structural hole spanners based on community forest model and diminishing marginal utility in large scale social networks

no code implementations Knowledge-Based Systems, 105916. 2020 Yan Zhang, Hua Xu, Yunfeng Xu, Junhui Deng, Juan Gu, Rui Ma, Jie Lai, Jiangtao Hu, Xiaoshuai Yu, Lei Hou, Lidong Gu, Yanling Wei, Yichao Xiao, Junhao Lu

In this paper, we try to give a more visual and detailed definition of structural hole spanner based on the existing work, and propose a novel algorithm to identify structural hole spanner based on community forest model and diminishing marginal utility.

Community Detection Link Prediction

Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction

no code implementations13 Apr 2020 Hong Guan, Jianfu Li, Hua Xu, Murthy Devarakonda

Background: Identifying relationships between clinical events and temporal expressions is a key challenge in meaningfully analyzing clinical text for use in advanced AI applications.

Language Modelling Relation Extraction

A Post-processing Method for Detecting Unknown Intent of Dialogue System via Pre-trained Deep Neural Network Classifier

1 code implementation7 Mar 2020 Ting-En Lin, Hua Xu

In this paper, we propose SofterMax and deep novelty detection (SMDN), a simple yet effective post-processing method for detecting unknown intent in dialogue systems based on pre-trained deep neural network classifiers.

Intent Detection

BERT-based Ranking for Biomedical Entity Normalization

no code implementations9 Aug 2019 Zongcheng Ji, Qiang Wei, Hua Xu

Developing high-performance entity normalization algorithms that can alleviate the term variation problem is of great interest to the biomedical community.

Natural Language Processing Word Embeddings

Deep Unknown Intent Detection with Margin Loss

1 code implementation ACL 2019 Ting-En Lin, Hua Xu

With margin loss, we can learn discriminative deep features by forcing the network to maximize inter-class variance and to minimize intra-class variance.

Open Intent Detection

Enhancing Clinical Concept Extraction with Contextual Embeddings

no code implementations22 Feb 2019 Yuqi Si, Jingqi Wang, Hua Xu, Kirk Roberts

We explore a battery of embedding methods consisting of traditional word embeddings and contextual embeddings, and compare these on four concept extraction corpora: i2b2 2010, i2b2 2012, SemEval 2014, and SemEval 2015.

Clinical Concept Extraction Language Modelling +2

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