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2020 – today
- 2024
[j28]Ari Z. Klein
, Juan M. Banda, Yuting Guo, Ana Lucía Schmidt, Dongfang Xu, Ivan Flores Amaro, Raul Rodriguez-Esteban, Abeed Sarker, Graciela Gonzalez-Hernandez:
Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium. J. Am. Medical Informatics Assoc. 31(4): 991-996 (2024)- [j27]Yuting Guo, Anthony Ovadje, Mohammed Ali Al-Garadi, Abeed Sarker:
Evaluating large language models for health-related text classification tasks with public social media data. J. Am. Medical Informatics Assoc. 31(10): 2181-2189 (2024) - [c40]Swati Rajwal, Eugene Agichtein, Abeed Sarker:
EM_Mixers at MEDIQA-CORR 2024: Knowledge-Enhanced Few-Shot In-Context Learning for Medical Error Detection and Correction. ClinicalNLP@NAACL 2024: 590-595 - [c39]Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt, Rishikesan Kamaleswaran, Abeed Sarker:
Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. AIME (1) 2024: 345-354 - [i19]Seyedeh Somayyeh Mousavi, Yuting Guo, Abeed Sarker, Reza Sameni:
Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters. CoRR abs/2402.01598 (2024) - [i18]Yuting Guo, Seyedeh Somayyeh Mousavi, Reza Sameni, Abeed Sarker:
Leveraging Large Language Models for Analyzing Blood Pressure Variations Across Biological Sex from Scientific Literature. CoRR abs/2402.01826 (2024) - [i17]Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt, Rishikesan Kamaleswaran, Abeed Sarker:
Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. CoRR abs/2403.00821 (2024) - [i16]Yuting Guo, Anthony Ovadje, Mohammed Ali Al-Garadi, Abeed Sarker:
Evaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Data. CoRR abs/2403.19031 (2024) - [i15]Drew Walker, Annie Thorne, Sudeshna Das, Jennifer Love, Hannah Cooper, Melvin Livingston III, Abeed Sarker:
CARE-SD: Classifier-based analysis for recognizing and eliminating stigmatizing and doubt marker labels in electronic health records: model development and validation. CoRR abs/2405.05204 (2024) - [i14]Yao Ge, Sudeshna Das, Karen O'Connor, Mohammed Ali Al-Garadi, Graciela Gonzalez-Hernandez, Abeed Sarker:
Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media. CoRR abs/2405.06145 (2024) - [i13]Xiang Dai, Sarvnaz Karimi, Abeed Sarker, Ben Hachey, Cécile Paris:
MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction. CoRR abs/2405.18015 (2024) - [i12]Sudeshna Das, Yao Ge, Yuting Guo, Swati Rajwal, JaMor Hairston, Jeanne M. Powell, Drew Walker, Snigdha Peddireddy, Sahithi Lakamana, Selen Bozkurt, Matthew A. Reyna, Reza Sameni, Yunyu Xiao, Sangmi Kim, Rasheeta Chandler, Natalie Hernandez, Danielle Mowery, Rachel Wightman, Jennifer Love, Anthony Spadaro, Jeanmarie Perrone, Abeed Sarker:
Two-layer retrieval augmented generation framework for low-resource medical question-answering: proof of concept using Reddit data. CoRR abs/2405.19519 (2024) - 2023
- [j26]Yao Ge, Yuting Guo, Sudeshna Das, Mohammed Ali Al-Garadi, Abeed Sarker:
Few-shot learning for medical text: A review of advances, trends, and opportunities. J. Biomed. Informatics 144: 104458 (2023) - [c38]Jeanne M. Powell, Yuting Guo, Abeed Sarker, J. Lucas McKay:
Classification of Fall Types in Parkinson's Disease from Self-report Data Using Natural Language Processing. AIME 2023: 163-172 - [c37]Yuting Guo, Yao Ge, Abeed Sarker:
Detection of Medication Mentions and Medication Change Events in Clinical Notes Using Transformer-Based Models. MedInfo 2023: 685-689 - [c36]Yao Ge, Mohammed Ali Al-Garadi, Abeed Sarker:
Data Augmentation with Nearest Neighbor Classifier for Few-Shot Named Entity Recognition. MedInfo 2023: 690-694 - 2022
- [j25]Mohammed Ali Al-Garadi, Sangmi Kim, Yuting Guo, Elise Warren, Yuan-Chi Yang, Sahithi Lakamana, Abeed Sarker:
Natural language model for automatic identification of Intimate Partner Violence reports from Twitter. Array 15: 100217 (2022) - [j24]Balsam Alkouz, Zaher Al Aghbari, Mohammed Ali Al-Garadi, Abeed Sarker:
Deepluenza: Deep learning for influenza detection from Twitter. Expert Syst. Appl. 198: 116845 (2022) - [c35]Davy Weissenbacher, Juan M. Banda, Vera Davydova, Darryl Estrada-Zavala, Luis Gascó Sánchez, Yao Ge, Yuting Guo, Ari Z. Klein, Martin Krallinger, Mathias Leddin, Arjun Magge, Raul Rodriguez-Esteban, Abeed Sarker, Ana Lucía Schmidt, Elena Tutubalina, Graciela Gonzalez-Hernandez:
Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022. SMM4H@COLING 2022: 221-241 - [c34]Yao Ge, Yuting Guo, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker:
A comparison of few-shot and traditional named entity recognition models for medical text. ICHI 2022: 84-89 - [i11]Yao Ge, Yuting Guo, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker:
Few-shot learning for medical text: A systematic review. CoRR abs/2204.14081 (2022) - [i10]Abeed Sarker:
Social media mining for toxicovigilance of prescription medications: End-to-end pipeline, challenges and future work. CoRR abs/2211.10443 (2022) - [i9]Yuting Guo, Swati Rajwal, Sahithi Lakamana, Chia-Chun Chiang, Paul C. Menell, Adnan H. Shahid, Yi-Chieh Chen, Nikita Chhabra, Wan-Ju Chao, Chieh-Ju Chao, Todd J. Schwedt, Imon Banerjee, Abeed Sarker:
Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media. CoRR abs/2212.12454 (2022) - 2021
- [j23]Abeed Sarker:
LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts. Bioinform. 37(16): 2499-2501 (2021) - [j22]Samah Jamal Fodeh, Mohammed Ali Al-Garadi, Osama Elsankary, Jeanmarie Perrone, William Becker, Abeed Sarker:
Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter. Comput. Biol. Medicine 129: 104132 (2021) - [j21]Mohammed Ali Al-Garadi, Yuan-Chi Yang, Haitao Cai, Yucheng Ruan, Karen O'Connor, Graciela Gonzalez-Hernandez, Jeanmarie Perrone, Abeed Sarker:
Text classification models for the automatic detection of nonmedical prescription medication use from social media. BMC Medical Informatics Decis. Mak. 21(1): 27 (2021) - [c33]Yao Ge, Yuting Guo, Abeed Sarker:
Mining and characterizing long-COVID symptoms from self-reports on Reddit. AMIA 2021 - [c32]Sahithi Lakamana, Abeed Sarker:
Tracking the COVID-19 outbreak in India via Twitter. AMIA 2021 - [c31]Abeed Sarker:
Obtaining insights about nonmedical use of prescription medications from social media via natural language processing. ICWSM Workshops 2021 - [c30]Arjun Magge, Ari Z. Klein, Antonio Miranda-Escalada, Mohammed Ali Al-Garadi, Ilseyar Alimova, Zulfat Miftahutdinov, Eulàlia Farré, Salvador Lima-López, Ivan Flores, Karen O'Connor, Davy Weissenbacher, Elena Tutubalina, Abeed Sarker, Juan M. Banda, Martin Krallinger, Graciela Gonzalez-Hernandez:
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021. SMM4H@NAACL-HLT 2021: 21-32 - [c29]Yuting Guo, Yao Ge, Mohammed Ali Al-Garadi, Abeed Sarker:
Pre-trained Transformer-based Classification and Span Detection Models for Social Media Health Applications. SMM4H@NAACL-HLT 2021: 52-57 - [e4]Arjun Magge, Ari Z. Klein, Antonio Miranda-Escalada, Mohammed Ali Al-garadi, Ilseyar Alimova, Zulfat Miftahutdinov, Eulàlia Farré-Maduell, Salvador Lima-López, Ivan Flores, Karen O'Connor, Davy Weissenbacher, Elena Tutubalina, Abeed Sarker, Juan M. Banda, Martin Krallinger, Graciela Gonzalez-Hernandez:
Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, SMM4H@NAACL-HLT 2021, Mexico City, Mexico, June 10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-31-2 [contents] - 2020
- [j20]Abeed Sarker, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Aamir Abbas:
A Light-Weight Text Summarization System for Fast Access to Medical Evidence. Frontiers Digit. Health 2: 585559 (2020) - [j19]Abeed Sarker, Annika DeRoos, Jeanmarie Perrone:
Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework. J. Am. Medical Informatics Assoc. 27(2): 315-329 (2020) - [j18]Abeed Sarker, Sahithi Lakamana, Whitney Hogg-Bremer, Angel Xie, Mohammed Ali Al-Garadi, Yuan-Chi Yang:
Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource. J. Am. Medical Informatics Assoc. 27(8): 1310-1315 (2020) - [c28]Yuting Guo, Mohammed Ali Al-Garadi, Abeed Sarker:
Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification. W-NUT@EMNLP 2020: 388-393 - [c27]Mohammed Ali Al-Garadi, Yuan-Chi Yang, Sahithi Lakamana, Jie Lin, Sabrina Li, Angel Xie, Whitney Hogg-Bremer, Mylin Torres, Imon Banerjee, Abeed Sarker:
Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes. AIME 2020: 100-110 - [c26]Ari Z. Klein, Ilseyar Alimova, Ivan Flores, Arjun Magge, Zulfat Miftahutdinov, Anne-Lyse Minard, Karen O'Connor, Abeed Sarker, Elena Tutubalina, Davy Weissenbacher, Graciela Gonzalez-Hernandez:
Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020. SMM4H@COLING 2020: 27-36 - [e3]Graciela Gonzalez-Hernandez, Ari Z. Klein, Ivan Flores, Davy Weissenbacher, Arjun Magge, Karen O'Connor, Abeed Sarker, Anne-Lyse Minard, Elena Tutubalina, Zulfat Miftahutdinov, Ilseyar Alimova:
Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, SMM4H@COLING 2020, Barcelona, Spain (Online), December 12, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-41-5 [contents]
2010 – 2019
- 2019
- [j17]Arjun Magge, Abeed Sarker, Azadeh Nikfarjam, Graciela Gonzalez-Hernandez:
Comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts". J. Am. Medical Informatics Assoc. 26(6): 577-579 (2019) - [j16]Davy Weissenbacher, Abeed Sarker, Ari Z. Klein, Karen O'Connor, Arjun Magge, Graciela Gonzalez-Hernandez:
Deep neural networks ensemble for detecting medication mentions in tweets. J. Am. Medical Informatics Assoc. 26(12): 1618-1626 (2019) - [j15]Abeed Sarker, Ari Z. Klein, Janet Mee, Polina Harik, Graciela Gonzalez-Hernandez:
An interpretable natural language processing system for written medical examination assessment. J. Biomed. Informatics 98 (2019) - [j14]Anne Dirkson, Suzan Verberne, Abeed Sarker, Wessel Kraaij:
Data-Driven Lexical Normalization for Medical Social Media. Multimodal Technol. Interact. 3(3): 60 (2019) - [j13]Ari Z. Klein, Abeed Sarker, Davy Weissenbacher, Graciela Gonzalez-Hernandez:
Towards scaling Twitter for digital epidemiology of birth defects. npj Digit. Medicine 2 (2019) - [c25]Abeed Sarker, Graciela Gonzalez-Hernandez, Jeanmarie Perrone:
Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science Methods. MedInfo 2019: 333-337 - [c24]Arjun Magge, Davy Weissenbacher, Abeed Sarker, Matthew Scotch, Graciela Gonzalez-Hernandez:
Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature. PSB 2019: 100-111 - [c23]Davy Weissenbacher, Abeed Sarker, Arjun Magge, Ashlynn R. Daughton, Karen O'Connor, Michael J. Paul, Graciela Gonzalez-Hernandez:
Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019. SMM4H@ACL 2019: 21-30 - [i8]Davy Weissenbacher, Abeed Sarker, Ari Z. Klein, Karen O'Connor, Arjun Magge Ranganatha, Graciela Gonzalez-Hernandez:
Deep Neural Networks Ensemble for Detecting Medication Mentions in Tweets. CoRR abs/1904.05308 (2019) - [i7]Anahita Davoudi, Ari Z. Klein, Abeed Sarker, Graciela Gonzalez-Hernandez:
Towards Automatic Bot Detection in Twitter for Health-related Tasks. CoRR abs/1909.13184 (2019) - 2018
- [j12]Arjun Magge, Davy Weissenbacher, Abeed Sarker, Matthew Scotch, Graciela Gonzalez-Hernandez:
Deep neural networks and distant supervision for geographic location mention extraction. Bioinform. 34(13): i565-i573 (2018) - [j11]Abeed Sarker, Maksim Belousov, Jasper Friedrichs, Kai Hakala, Svetlana Kiritchenko, Farrokh Mehryary, Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru, Berry de Bruijn, Filip Ginter, Debanjan Mahata, Saif M. Mohammad, Goran Nenadic, Graciela Gonzalez-Hernandez:
Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task. J. Am. Medical Informatics Assoc. 25(10): 1274-1283 (2018) - [j10]Ari Z. Klein, Abeed Sarker, Haitao Cai, Davy Weissenbacher, Graciela Gonzalez-Hernandez:
Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter. J. Biomed. Informatics 87: 68-78 (2018) - [j9]Abeed Sarker, Graciela Gonzalez-Hernandez:
An unsupervised and customizable misspelling generator for mining noisy health-related text sources. J. Biomed. Informatics 88: 98-107 (2018) - [c22]Masoud Rouhizadeh, Arjun Magge, Ari Z. Klein, Abeed Sarker, Graciela Gonzalez:
A Rule-based Approach to Determining Pregnancy Timeframe from Contextual Social Media Postings. DH 2018: 16-20 - [c21]Graciela Gonzalez-Hernandez, Abeed Sarker, Karen O'Connor, Casey S. Greene, Hongfang Liu:
Session Introduction. PSB 2018: 559-565 - [c20]Davy Weissenbacher, Abeed Sarker, Michael J. Paul, Graciela Gonzalez-Hernandez:
Overview of the Third Social Media Mining for Health (SMM4H) Shared Tasks at EMNLP 2018. SMM4H@EMNLP 2018: 13-16 - [e2]Graciela Gonzalez-Hernandez, Davy Weissenbacher, Abeed Sarker, Michael J. Paul:
Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, SMM4H@EMNLP 2018, Brussels, Belgium, October 31, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-77-3 [contents] - [i6]Abeed Sarker, Graciela Gonzalez-Hernandez:
An unsupervised and customizable misspelling generator for mining noisy health-related text sources. CoRR abs/1806.00910 (2018) - [i5]Ari Z. Klein, Abeed Sarker, Davy Weissenbacher, Graciela Gonzalez-Hernandez:
Automatically Detecting Self-Reported Birth Defect Outcomes on Twitter for Large-scale Epidemiological Research. CoRR abs/1810.09506 (2018) - 2017
- [j8]Abeed Sarker:
A customizable pipeline for social media text normalization. Soc. Netw. Anal. Min. 7(1): 45:1-45:13 (2017) - [c19]Ehsan Emadzadeh, Abeed Sarker, Azadeh Nikfarjam, Graciela Gonzalez-Hernandez:
Hybrid Semantic Analysis for Mapping Adverse Drug Reaction Mentions in Tweets to Medical Terminology. AMIA 2017 - [c18]Abeed Sarker, Graciela Gonzalez:
Overview of the Second Social Media Mining for Health (SMM4H) Shared Tasks at AMIA 2017. SMM4H@AMIA 2017: 43-48 - [c17]Ari Z. Klein, Abeed Sarker, Masoud Rouhizadeh, Karen O'Connor, Graciela Gonzalez:
Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System. BioNLP 2017: 136-142 - [c16]Abeed Sarker, Graciela Gonzalez:
HLP$@$UPenn at SemEval-2017 Task 4A: A simple, self-optimizing text classification system combining dense and sparse vectors. SemEval@ACL 2017: 640-643 - [e1]Abeed Sarker, Graciela Gonzalez:
Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), Washington D.C., United States, November 4, 2017. CEUR Workshop Proceedings 1996, CEUR-WS.org 2017 [contents] - [i4]Pramod Bharadwaj Chandrashekar, Arjun Magge, Abeed Sarker, Graciela Gonzalez:
Social media mining for identification and exploration of health-related information from pregnant women. CoRR abs/1702.02261 (2017) - [i3]Abeed Sarker, Diego Mollá Aliod, Cécile Paris:
Automated text summarisation and evidence-based medicine: A survey of two domains. CoRR abs/1706.08162 (2017) - 2016
- [j7]Abeed Sarker, Diego Mollá, Cécile Paris:
Query-oriented evidence extraction to support evidence-based medicine practice. J. Biomed. Informatics 59: 169-184 (2016) - [j6]Ioannis Korkontzelos, Azadeh Nikfarjam, Matthew Shardlow, Abeed Sarker, Sophia Ananiadou, Graciela Gonzalez-Hernandez:
Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts. J. Biomed. Informatics 62: 148-158 (2016) - [j5]Diego Mollá, María Elena Santiago-Martínez, Abeed Sarker, Cécile Paris:
A corpus for research in text processing for evidence based medicine. Lang. Resour. Evaluation 50(4): 705-727 (2016) - [c15]Abeed Sarker, Graciela Gonzalez:
Data, tools and resources for mining social media drug chatter. BioTxtM@COLING 2016 2016: 99-107 - [c14]Michael J. Paul, Abeed Sarker, John S. Brownstein, Azadeh Nikfarjam, Matthew Scotch, Karen L. Smith, Graciela Gonzalez-Hernandez:
Session Introduction. PSB 2016: 468-479 - [c13]Ryan Sullivan, Abeed Sarker, Karen O'Connor, Amanda Goodin, Mark Karlsrud, Graciela Gonzalez:
Finding Potentially Unsafe Nutritional Supplements from User Reviews with Topic Modeling. PSB 2016: 528-539 - [c12]Abeed Sarker, Azadeh Nikfarjam, Graciela Gonzalez-Hernandez:
Social Media Mining Shared Task Workshop. PSB 2016: 581-592 - [c11]Abeed Sarker, Graciela Gonzalez:
DiegoLab16 at SemEval-2016 Task 4: Sentiment Analysis in Twitter using Centroids, Clusters, and Sentiment Lexicons. SemEval@NAACL-HLT 2016: 209-214 - [i2]Abeed Sarker:
Automated Extraction of Number of Subjects in Randomised Controlled Trials. CoRR abs/1606.07137 (2016) - [i1]Abbas Chokor, Abeed Sarker, Graciela Gonzalez:
Mining the Web for Pharmacovigilance: the Case Study of Duloxetine and Venlafaxine. CoRR abs/1610.02567 (2016) - 2015
- [j4]Abeed Sarker, Diego Mollá, Cécile Paris:
Automatic evidence quality prediction to support evidence-based decision making. Artif. Intell. Medicine 64(2): 89-103 (2015) - [j3]Azadeh Nikfarjam, Abeed Sarker, Karen O'Connor, Rachel E. Ginn, Graciela Gonzalez-Hernandez:
Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features. J. Am. Medical Informatics Assoc. 22(3): 671-681 (2015) - [j2]Abeed Sarker, Graciela Gonzalez:
Portable automatic text classification for adverse drug reaction detection via multi-corpus training. J. Biomed. Informatics 53: 196-207 (2015) - [j1]Abeed Sarker, Rachel E. Ginn, Azadeh Nikfarjam, Karen O'Connor, Karen L. Smith, Swetha Jayaraman, Tejaswi Upadhaya, Graciela Gonzalez-Hernandez:
Utilizing social media data for pharmacovigilance: A review. J. Biomed. Informatics 54: 202-212 (2015) - [c10]Abeed Sarker, Azadeh Nikfarjam, Davy Weissenbacher, Graciela Gonzalez-Hernandez:
DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter. SemEval@NAACL-HLT 2015: 510-514 - 2014
- [c9]Diego Mollá Aliod, Christopher Jones, Abeed Sarker:
Impact of Citing Papers for Summarisation of Clinical Documents. ALTA 2014: 79-87 - [c8]Karen O'Connor, Azadeh Nikfarjam, Rachel E. Ginn, Pranoti Pimpalkhute, Abeed Sarker, Karen L. Smith, Graciela Gonzalez-Hernandez:
Pharmacovigilance on Twitter? Mining Tweets for Adverse Drug Reactions. AMIA 2014 - 2013
- [c7]Abeed Sarker, Diego Mollá, Cécile Paris:
An Approach for Query-Focused Text Summarisation for Evidence Based Medicine. AIME 2013: 295-304 - [c6]Abeed Sarker, Diego Mollá Aliod, Cécile Paris:
Automatic Prediction of Evidence-based Recommendations via Sentence-level Polarity Classification. IJCNLP 2013: 712-718 - 2012
- [c5]Abeed Sarker, Diego Mollá Aliod, Cécile Paris:
Towards Two-step Multi-document Summarisation for Evidence Based Medicine: A Quantitative Analysis. ALTA 2012: 79-87 - [c4]Abeed Sarker, Diego Mollá, Cécile Paris:
Extractive evidence based medicine summarisation based on sentence-specific statistics. CBMS 2012: 1-4 - 2011
- [c3]Diego Mollá, Abeed Sarker:
Automatic Grading of Evidence: the 2011 ALTA Shared Task. ALTA 2011: 4-8 - [c2]Abeed Sarker, Diego Mollá, Cécile Paris:
Outcome Polarity Identification of Medical Papers. ALTA 2011: 105-114 - 2010
- [c1]Abeed Sarker, Leonard G. C. Hamey:
Improved Reconstruction of Flutter Shutter Images for Motion Blur Reduction. DICTA 2010: 417-422
Coauthor Index
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