str Arman Cohan
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I am a Research Scientist at Allen Institute for Artificial Intelligence (AI2). My broad research interests include natural language processing and its applications in specialized domains such as scientific text. I received my PhD in computer science at Georgetown University in May 2018 where I worked with Nazli Goharian. For most recent list of publications please refer to my Google Scholar page.

News

Publications

  • List of publications is not actively maintained anymore.
    For most recent list of publications please refer to my Google Scholar page.

    Older publications:
  • 2019
    • "Pretrained Language Models for Sequential Sentence Classification"
      Arman Cohan*, Iz Beltagy*, Daniel King, Bhavana Dalvi and Dan Weld
      *Equal contribution
      EMNLP 2019
      pdf code/data
    • "SciBERT: A Pretrained Language Model for Scientific Text"
      Iz Beltagy, Kyle Lo, and Arman Cohan
      EMNLP 2019
      link bib code/data/models
    • "CEDR: Contextualized Embeddings for Document Ranking"
      Sean MacAvaney, Andrew Yates, Arman Cohan, and Nazli Goharian
      SIGIR 2019
      pdf code
    • "Structural Scaffolds for Citation Intent Classification in Scientific Publications"
      Arman Cohan, Waleed Ammar, Madeleine Van Zuylen, and Field Cady
      NAACL 2019
      pdf code/data
    • "Ontology-Aware Clinical Abstractive Summarization"
      Sean MacAvaney, Sajad Sotudeh Gharebagh, Arman Cohan, Nazli Goharian, Ish Talati and Ross W. Filice
      SIGIR 2019
      pdf
  • 2018
    • "Overcoming Low-Utility Facets for Complex Answer Retrieval"
      Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
      Information Retrieval Journal
      link bib
    • "SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions"
      Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian
      COLING 2018, (Area Chair Favorite Paper)
      pdf bib resources
    • "Characterizing Question Facets for Complex Answer Retrieval."
      Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian,and Ophir Frieder
      SIGIR 2018
      pdf bib
    • "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"
      Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, and Nazli Goharian
      NAACL-HLT 2018 (to appear)
      pdf bib resources
    • "Helping or Hurting? Predicting Changes in Users’ Risk of Self-Harm Through Online Community Interactions."
      Luca Soldaini, Timothy Walsh, Arman Cohan, Julien Han, and Nazli Goharian.
      CLPsych 2018
      pdf bib
    • "RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses."
      Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly, and Nazli Goharian
      CLPsych 2018 pdf bib resources
    • "Tree-LSTMs for Scientific Relation Classification."
      Sean MacAvaney, Luca Soldaini, Arman Cohan, and Nazli Goharian
      SemEval 2018 (to appear)
      pdf bib code
  • 2017
    • "Depression and Self-Harm Risk Assessment in Online Forums"
      Andrew Yates*, Arman Cohan*, and Nazli Goharian
      EMNLP 2017
      *Equal contribution
      (EMNLP 2017 Best Long Paper Award)
      pdf bib resources
    • "Scientific Document Summarization via Citation Contextualization and Scientific Discourse"
      Arman Cohan, and Nazli Goharian
      International Journal on Digital Libaries (IJDL)
      pre-print link bib
    • "Identifying Harm Events in Clinical Care through Attentive Recurrent Neural Networks"
      Arman Cohan, and Allan Fong, Raj Ratwani, and Nazli Goharian
      ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2017)
      pdf link bib
    • "Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledge"
      Arman Cohan, and Nazli Goharian
      SIGIR 2017
      pdf bib poster
    • "A Framework for Cross-Domain Clinical Temporal Information Extraction"
      Sean MacAvaney, Arman Cohan, and Nazli Goharian
      International Workshop on Semantic Evaluation (SemEval 2017)
      pdf bib
    • "Triaging Content Severity in Online Mental-Health Forums"
      Arman Cohan, Sydney Young, Andrew Yates, Nazli Goharian
      Journal of the Association for Information Science and Technology (JASIST)
      link pre-print bib
    • "A Neural Attention Model for Categorizing Patient Safety Events"
      Arman Cohan, Allan Fong, Nazli Goharian, Raj Ratwani
      European Conference on Information Retrieval (ECIR 2017)
      pdf bib poster
  • 2016
    • "Triaging Mental Health Forum Posts"
      Arman Cohan, Sydney Young, Nazli Goharian
      NAACL 2016 Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2016)
      pdf bib poster
    • "Temporal Information Extraction from Clinical Narratives"
      Arman Cohan, Kevin Meurer, Nazli Goharian
      International Workshop on Semantic Evaluation (SemEval 2016)
      pdf bib poster
    • "Identifying Significance of Discrepancies in Radiology Reports"
      Arman Cohan, Luca Soldaini, Nazli Goharian, Allan Fong, Ross Filice, Raj Ratwani
      SDM workshop Data Mining for Medicine and Healthcare (SDM-DMMH 2016)
      pdf bib slides
    • "Revisiting Summarization Evaluation for Scientific Articles"
      Arman Cohan and Nazli Goharian
      Language Resources and Evaluation (LREC 2016)
      pdf bib poster
  • 2015
    • "Scientific Article Summarization Using Citation-Context and Article's Discourse Structure"
      Arman Cohan and Nazli Goharian
      Empirical Methods in Natural Language Processing (EMNLP 2015)
      pdf bib video slides
    • "Matching Citation Text and Cited Spans in Biomedical Literature: a Search-Oriented Approach"
      Arman Cohan, Luca Soldaini, and Nazli Goharian
      North American Chapter of Association for Computational Linguistics (NAACL 2015)
      pdf video bib
    • "Retrieving Medical Literature for Clinical Decision Support"
      Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, and Ophir Frieder
      European Conference on Information Retrieval (ECIR 2015)
      pdf bib
  • 2014
    • "Towards Citation-Based Summarization of Biomedical Literature"
      Arman Cohan, Luca Soldaini, and Nazli Goharian
      Text Analysis Conference (TAC 2014)
      pdf
    • "Query Reformulation for Clinical Decision Support Search"
      Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, and Ophir Frieder
      Text Retrieval Conference (TREC 2014)
      pdf
    • "On Clinical Decision Support"
      Arman Cohan, Luca Soldaini, Andrew Yates, Nazli Goharian, and Ophir Frieder
      Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB 2014)
      pdf bib

Talks

  • Identifying Harm Events in Clinical Care through Medical Narratives, Cambridge, MA, August, 2017.
  • Identifying Significance of Discrepancies in Radiology Reports, Miami, FL, May, 2016.
  • Scientific Summarization, Instituto Gulbenkian de Ciencia (IGC), Lisbon, Portugal , September, 2015.
  • Scientific Article Summarization Using Citation-Context and Article's Discourse Structure, Lisbon, Portugal , September, 2015.
  • Matching Citation Text and Cited Spans in Biomedical Literature, A Search Oriented Approach, NAACL Conference, Denver, CO , June, 2015.
  • Towards Citation-Based Summarization of Biomedical Literature. Text Analysis Conference (TAC), Gaithersburg, MD, November, 2014.

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