On the public citation graph
Exploring Disorder-Aware Attention for Clinical Event Extraction
0 signed · 58 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-00794-2_29openalex-snapshot
Semantic Question Matching in Data Constrained Environment
inferredcites →https://doi.org/10.1007/978-3-031-23793-5_1openalex-snapshot
Combining Graph-Based Dependency Features with Convolutional Neural Network for Answer Triggering
inferredcites →https://doi.org/10.1007/978-3-319-11382-1_17openalex-snapshot
Overview of the ShARe/CLEF eHealth Evaluation Lab 2014
inferredcites →https://doi.org/10.1016/j.jbi.2013.07.004openalex-snapshot
Annotating temporal information in clinical narratives
inferredcites →https://doi.org/10.1016/j.knosys.2018.11.020openalex-snapshot
Feature assisted stacked attentive shortest dependency path based Bi-LSTM model for protein–protein interaction
inferredcites →https://doi.org/10.1016/s0010-4825(96)00010-8openalex-snapshot
Temporal reasoning and temporal data maintenance in medicine: Issues and challenges
inferredcites →https://doi.org/10.1080/08039480252803945openalex-snapshot
Social support in a wired world: Use of online mental health forums in Norway
inferredcites →https://doi.org/10.1093/bioinformatics/btz682openalex-snapshot
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
inferredcites →https://doi.org/10.1093/database/bau109openalex-snapshot
Knowledge-rich temporal relation identification and classification in clinical notes
inferredcites →https://doi.org/10.1093/jamia/ocu041openalex-snapshot
Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features
inferredcites →https://doi.org/10.1093/jamia/ocv113openalex-snapshot
Multilayered temporal modeling for the clinical domain
inferredcites →https://doi.org/10.1109/cic.1988openalex-snapshot
Proceedings. Computers in Cardiology 1988
inferredcites →https://doi.org/10.1136/amiajnl-2013-001628openalex-snapshot
Evaluating temporal relations in clinical text: 2012 i2b2 Challenge
inferredcites →https://doi.org/10.1136/amiajnl-2013-001635openalex-snapshot
A hybrid system for temporal information extraction from clinical text
inferredcites →https://doi.org/10.1136/amiajnl-2013-001760openalex-snapshot
Temporal reasoning over clinical text: the state of the art
inferredcites →https://doi.org/10.1145/2858036.2858207openalex-snapshot
Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media
inferredcites →https://doi.org/10.1145/2998181.2998220openalex-snapshot
Gender and Cross-Cultural Differences in Social Media Disclosures of Mental Illness
inferredcites →https://doi.org/10.1145/3077136.3080699openalex-snapshot
Enhancing Recurrent Neural Networks with Positional Attention for Question Answering
inferredcites →https://doi.org/10.1145/3173574.3174215openalex-snapshot
Mental Health Support and its Relationship to Linguistic Accommodation in Online Communities
inferredcites →https://doi.org/10.1162/tacl_a_00104openalex-snapshot
Named Entity Recognition with Bidirectional LSTM-CNNs
inferredcites →https://doi.org/10.1197/jamia.m2922openalex-snapshot
Syndromic Surveillance Using Ambulatory Electronic Health Records
inferredcites →https://doi.org/10.18653/v1/d16-1058openalex-snapshot
Attention-based LSTM for Aspect-level Sentiment Classification
inferredcites →https://doi.org/10.18653/v1/k18-1012openalex-snapshot
Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering
inferredcites →https://doi.org/10.18653/v1/n18-2044openalex-snapshot
Multi-Task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment
inferredcites →https://doi.org/10.18653/v1/p17-1098openalex-snapshot
Diversity driven attention model for query-based abstractive summarization
inferredcites →https://doi.org/10.18653/v1/p19-1516openalex-snapshot
A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining
inferredcites →https://doi.org/10.18653/v1/s15-2051openalex-snapshot
SemEval-2015 Task 14: Analysis of Clinical Text
inferredcites →https://doi.org/10.18653/v1/s15-2052openalex-snapshot
UTH-CCB: The Participation of the SemEval 2015 Challenge – Task 14
inferredcites →https://doi.org/10.18653/v1/s15-2071openalex-snapshot
ezDI: A Supervised NLP System for Clinical Narrative Analysis
inferredcites →https://doi.org/10.18653/v1/s15-2136openalex-snapshot
SemEval-2015 Task 6: Clinical TempEval
inferredcites →https://doi.org/10.18653/v1/s16-1165openalex-snapshot
SemEval-2016 Task 12: Clinical TempEval
inferredcites →https://doi.org/10.18653/v1/s17-2178openalex-snapshot
XJNLP at SemEval-2017 Task 12: Clinical temporal information ex-traction with a Hybrid Model
inferredcites →https://doi.org/10.18653/v1/s17-2180openalex-snapshot
GUIR at SemEval-2017 Task 12: A Framework for Cross-Domain Clinical Temporal Information Extraction
inferredcites →https://doi.org/10.2196/jmir.1432openalex-snapshot
Review of Extracting Information From the Social Web for Health Personalization
inferredcites →https://doi.org/10.2196/jmir.7956openalex-snapshot
A Collaborative Approach to Identifying Social Media Markers of Schizophrenia by Employing Machine Learning and Clinical Appraisals
inferredcites →https://doi.org/10.3115/1072228openalex-snapshot
Proceedings of the 19th international conference on Computational linguistics -
inferredcites →https://doi.org/10.3115/1613715openalex-snapshot
Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08
inferredcites →https://doi.org/10.3115/v1/w15-1204openalex-snapshot
CLPsych 2015 Shared Task: Depression and PTSD on Twitter
inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot
Neural Machine Translation by Jointly Learning to Align and Translate
inferredcites →https://doi.org/10.48550/arxiv.1409.3215openalex-snapshot
Sequence to Sequence Learning with Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1509.06664openalex-snapshot
Reasoning about Entailment with Neural Attention
inferredcites →https://doi.org/10.48550/arxiv.1511.04108openalex-snapshot
LSTM-based Deep Learning Models for Non-factoid Answer Selection
inferredcites →https://doi.org/10.48550/arxiv.1611.01603openalex-snapshot
Bidirectional Attention Flow for Machine Comprehension
inferredcites →https://doi.org/10.48550/arxiv.1611.06639openalex-snapshot
Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling
inferredcites →https://doi.org/10.48550/arxiv.1706.04815openalex-snapshot
S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension
inferredcites →https://doi.org/10.48550/arxiv.1712.06100openalex-snapshot
Query-Based Abstractive Summarization Using Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1903.09941openalex-snapshot
Relation extraction between the clinical entities based on the shortest dependency path based LSTM
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-11217-1_12openalex-snapshot
Construction and Application of Event Logic Graph: A Survey
inferred← citeshttps://doi.org/10.1007/s12553-021-00607-wopenalex-snapshot
Data structuring of electronic health records: a systematic review
inferred← citeshttps://doi.org/10.1016/j.eswa.2020.113993openalex-snapshot
Hierarchical deep multi-modal network for medical visual question answering
inferred← citeshttps://doi.org/10.1038/s41598-025-00609-yopenalex-snapshot
End-to-end Chinese clinical event extraction based on large language model
inferred← citeshttps://doi.org/10.1109/icears64219.2025.10941255openalex-snapshot
Navigating Multilingual and Code-Mixed Challenges in Web Mining
inferred← citeshttps://doi.org/10.1162/dint_a_00093openalex-snapshot
Overview of CCKS 2020 Task 3: Named Entity Recognition and Event Extraction in Chinese Electronic Medical Records
inferred← citeshttps://doi.org/10.1371/journal.pone.0248299openalex-snapshot
“When they say weed causes depression, but it’s your fav antidepressant”: Knowledge-aware attention framework for relationship extraction
inferred← citeshttps://doi.org/10.18653/v1/2021.acl-long.488openalex-snapshot
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference
inferred← citeshttps://doi.org/10.3390/app11167237openalex-snapshot
LSLSD: Fusion Long Short-Level Semantic Dependency of Chinese EMRs for Event Extraction
inferred← citeshttps://doi.org/10.48550/arxiv.2105.13456openalex-snapshot
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference
inferred← citeshttps://doi.org/10.58414/scientifictemper.2024.15.2.01openalex-snapshot
Empowering healthcare with NLP-driven deep learning unveiling biomedical materials through text mining
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.