Sadid A. Hasan

According to our database1, Sadid A. Hasan authored at least 68 papers between 2008 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2025
Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
SAGEval: The frontiers of Satisfactory Agent based NLG Evaluation for reference-free open-ended text.
CoRR, 2024

Does Prompt Formatting Have Any Impact on LLM Performance?
CoRR, 2024

2022
SemClinBr - a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks.
J. Biomed. Semant., 2022

2021


Overview of the VQA-Med Task at ImageCLEF 2021: Visual Question Answering and Generation in the Medical Domain.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020
An Ontology-driven Treatment Article Retrieval System for Precision Oncology.
CoRR, 2020

Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions.
Proceedings of the 13th International Conference on Natural Language Generation, 2020



Overview of the VQA-Med Task at ImageCLEF 2020: Visual Question Answering and Generation in the Medical Domain.
Proceedings of the Working Notes of CLEF 2020, 2020

2019
Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification.
Artif. Intell. Medicine, 2019

Learning Portuguese Clinical Word Embeddings: A Multi-Specialty and Multi-Institutional Corpus of Clinical Narratives Supporting a Downstream Biomedical Task.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019



VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019.
Proceedings of the Working Notes of CLEF 2019, 2019

BoostER: A Performance Boosting Module for Biomedical Entity Recognition.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Improving Disease Named Entity Recognition for Clinical Trial Matching.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Clinical Natural Language Processing with Deep Learning.
Proceedings of the Data Science for Healthcare - Methodologies and Applications, 2019

2018
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Towards Dataset Creation And Establishing Baselines for Sentence-level Neural Clinical Paraphrase Generation and Simplification.
Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018


Overview of ImageCLEF 2018 Medical Domain Visual Question Answering Task.
Proceedings of the Working Notes of CLEF 2018, 2018

2017
Adverse Drug Event Detection in Tweets with Semi-Supervised Convolutional Neural Networks.
Proceedings of the 26th International Conference on World Wide Web, 2017

A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching.
Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

Recognizing Tweet Relevance with Profile-specific and Profile-independent Supervised Models.
Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

Open domain real-time question answering based on asynchronous multiperspective context-driven retrieval and neural paraphrasing.
Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study.
Proceedings of the Machine Learning for Health Care Conference, 2017

Integrating extra knowledge into word embedding models for biomedical NLP tasks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Medical Concept Normalization for Online User-Generated Texts.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Attention-Based Medical Caption Generation with Image Modality Classification and Clinical Concept Mapping.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2017

PRNA at ImageCLEF 2017 Caption Prediction and Concept Detection Tasks.
Proceedings of the Working Notes of CLEF 2017, 2017

A statistics and UMLS-based tool for assisted semantic annotation of Brazilian clinical documents.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Automated clinical diagnosis: The role of content in various sections of a clinical document.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Condensed Memory Networks for Clinical Diagnostic Inferencing.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Assorted Textual Features and Dynamic Push Strategies for Real-time Tweet Notification.
Proceedings of The Twenty-Fifth Text REtrieval Conference, 2016

Clinical Question Answering using Key-Value Memory Networks and Knowledge Graph.
Proceedings of The Twenty-Fifth Text REtrieval Conference, 2016

Open Domain Real-Time Question Answering Based on Semantic and Syntactic Question Similarity.
Proceedings of The Twenty-Fifth Text REtrieval Conference, 2016

Neural Paraphrase Generation with Stacked Residual LSTM Networks.
Proceedings of the COLING 2016, 2016

Neural Clinical Paraphrase Generation with Attention.
Proceedings of the Clinical Natural Language Processing Workshop, 2016

2015
A reinforcement learning formulation to the complex question answering problem.
Inf. Process. Manag., 2015

Towards Topic-to-Question Generation.
Comput. Linguistics, 2015

Exploiting Neural Embeddings for Social Media Data Analysis.
Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

Using Neural Embeddings for Diagnostic Inferencing in Clinical Question Answering.
Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

Ontology-Driven Semantic Search for Brazilian Portuguese Clinical Notes.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

2014
A Hybrid Approach to Clinical Question Answering.
Proceedings of The Twenty-Third Text REtrieval Conference, 2014

Complex Question Answering: Homogeneous or Heterogeneous, Which Ensemble Is Better?
Proceedings of the Natural Language Processing and Information Systems, 2014

Fear the REAPER: A System for Automatic Multi-Document Summarization with Reinforcement Learning.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Using POMDPs for Topic-Focused Multi-Document Summarization (L'utilisation des POMDP pour les résumés multi-documents orientés par une thématique) [in French].
Proceedings of the Traitement Automatique des Langues Naturelles, 2013

On the Effectiveness of Using Syntactic and Shallow Semantic Tree Kernels for Automatic Assessment of Essays.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

2012
Query-focused multi-document summarization: automatic data annotations and supervised learning approaches.
Nat. Lang. Eng., 2012

Learning Good Decompositions of Complex Questions.
Proceedings of the Natural Language Processing and Information Systems, 2012

Towards Automatic Topical Question Generation.
Proceedings of the COLING 2012, 2012

On the Effectiveness of using Sentence Compression Models for Query-Focused Multi-Document Summarization.
Proceedings of the COLING 2012, 2012

Improving the performance of the reinforcement learning model for answering complex questions.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Improving graph-based random walks for complex question answering using syntactic, shallow semantic and extended string subsequence kernels.
Inf. Process. Manag., 2011

UofL at TAC 2011 Guided Summarization Task.
Proceedings of the Fourth Text Analysis Conference, 2011

A reinforcement learning framework for answering complex questions.
Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011

Using Syntactic and Shallow Semantic Kernels to Improve Multi-Modality Manifold-Ranking for Topic-Focused Multi-Document Summarization.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

An Aspect-Driven Random Walk Model for Topic-Focused Multi-document Summarization.
Proceedings of the Information Retrieval Technology, 2011

Using Semantic Information to Answer Complex Questions.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
Automatic Question Generation from Sentences.
Proceedings of the Actes de la 17e conférence sur le Traitement Automatique des Langues Naturelles. Articles courts, 2010

2009
Complex Question Answering: Unsupervised Learning Approaches and Experiments.
J. Artif. Intell. Res., 2009

A SVM-Based Ensemble Approach to Multi-Document Summarization.
Proceedings of the Advances in Artificial Intelligence, 2009

Do Automatic Annotation Techniques Have Any Impact on Supervised Complex Question Answering?
Proceedings of the ACL 2009, 2009

2008
UofL at TAC 2008 Update Summarization and Question Answering.
Proceedings of the First Text Analysis Conference, 2008


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