Arman Cohan

According to our database, Arman Cohan authored at least 104 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions.

Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn J. Lawrie, Luca Soldaini

CoRR, 2024

On the Benefits of Fine-Grained Loss Truncation: A Case Study on Factuality in Summarization.

Lorenzo Jaime Yu Flores, Arman Cohan

CoRR, 2024

Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models.

Martin Riddell, Ansong Ni, Arman Cohan

CoRR, 2024

Calibrating Long-form Generations from Large Language Models.

Yukun Huang, Yixin Liu, Raghuveer Thirukovalluru, Arman Cohan, Bhuwan Dhingra

CoRR, 2024

Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science.

Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan, Yichi Zhang, Wangchunshu Zhou, Meng Qu, Yilun Zhao, Jian Tang, Zhuosheng Zhang, Arman Cohan, Zhiyong Lu, Mark Gerstein

CoRR, 2024

OLMo: Accelerating the Science of Language Models.

Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi

CoRR, 2024

When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets.

Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

TESS: Text-to-Text Self-Conditioned Simplex Diffusion.

Rabeeh Karimi Mahabadi, Hamish Ivison, Jaesung Tae, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

On the Benefits of Fine-Grained Loss Truncation: A Case Study on Factuality in Summarization.

Lorenzo Jaime Flores, Arman Cohan

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Observable Propagation: A Data-Efficient Approach to Uncover Feature Vectors in Transformers.

Jacob Dunefsky, Arman Cohan

CoRR, 2023

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning.

Xiangru Tang, Anni Zou, Zhuosheng Zhang, Yilun Zhao, Xingyao Zhang, Arman Cohan, Mark Gerstein

CoRR, 2023

ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks.

Yuliang Liu, Xiangru Tang, Zefan Cai, Junjie Lu, Yichi Zhang, Yanjun Shao, Zexuan Deng, Helan Hu, Zengxian Yang, Kaikai An, Ruijun Huang, Shuzheng Si, Sheng Chen, Haozhe Zhao, Zhengliang Li, Liang Chen, Yiming Zong, Yan Wang, Tianyu Liu, Zhiwei Jiang, Baobao Chang, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Arman Cohan, Mark Gerstein

CoRR, 2023

DocMath-Eval: Evaluating Numerical Reasoning Capabilities of LLMs in Understanding Long Documents with Tabular Data.

Yilun Zhao, Yitao Long, Hongjun Liu, Linyong Nan, Lyuhao Chen, Ryo Kamoi, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan

CoRR, 2023

KnowledgeMath: Knowledge-Intensive Math Word Problem Solving in Finance Domains.

Yilun Zhao, Hongjun Liu, Yitao Long, Rui Zhang, Chen Zhao, Arman Cohan

CoRR, 2023

Investigating Data Contamination in Modern Benchmarks for Large Language Models.

Chunyuan Deng, Yilun Zhao, Xiangru Tang, Mark Gerstein, Arman Cohan

CoRR, 2023

Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders.

Hyunji Lee, Luca Soldaini, Arman Cohan, Minjoon Seo, Kyle Lo

CoRR, 2023

On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering.

Linyong Nan, Ellen Zhang, Weijin Zou, Yilun Zhao, Wenfei Zhou, Arman Cohan

CoRR, 2023

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization.

Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan

CoRR, 2023

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models.

Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan

CoRR, 2023

Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?

Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan, Mark Gerstein

CoRR, 2023

ODSum: New Benchmarks for Open Domain Multi-Document Summarization.

Yijie Zhou, Kejian Shi, Wencai Zhang, Yixin Liu, Yilun Zhao, Arman Cohan

CoRR, 2023

Large Language Models are Effective Table-to-Text Generators, Evaluators, and Feedback Providers.

Yilun Zhao, Haowei Zhang, Shengyun Si, Linyong Nan, Xiangru Tang, Arman Cohan

CoRR, 2023

A Controllable QA-based Framework for Decontextualization.

Benjamin Newman, Luca Soldaini, Raymond Fok, Arman Cohan, Kyle Lo

CoRR, 2023

QTSumm: A New Benchmark for Query-Focused Table Summarization.

Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Xiangru Tang, Yumo Xu, Arman Cohan, Dragomir Radev

CoRR, 2023

On Learning to Summarize with Large Language Models as References.

Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan

CoRR, 2023

Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies.

Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev

CoRR, 2023

Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval.

Revanth Gangi Reddy, Pradeep Dasigi, Md. Arafat Sultan, Arman Cohan, Avirup Sil, Heng Ji, Hannaneh Hajishirzi

CoRR, 2023

TESS: Text-to-Text Self-Conditioned Simplex Diffusion.

Rabeeh Karimi Mahabadi, Jaesung Tae, Hamish Ivison, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan

CoRR, 2023

The Semantic Scholar Open Data Platform.

Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine van Zuylen, Daniel S. Weld

CoRR, 2023

SciRepEval: A Multi-Format Benchmark for Scientific Document Representations.

Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents.

Benjamin Newman, Luca Soldaini, Raymond Fok, Arman Cohan, Kyle Lo

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies.

Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval.

John M. Giorgi, Luca Soldaini, Bo Wang, Gary D. Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding.

Lorenzo Jaime Yu Flores, Heyuan Huang, Kejian Shi, Sophie Chheang, Arman Cohan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios.

Yilun Zhao, Haowei Zhang, Shengyun Si, Linyong Nan, Xiangru Tang, Arman Cohan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

QTSumm: Query-Focused Summarization over Tabular Data.

Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Embedding Recycling for Language Models.

Jon Saad-Falcon, Amanpreet Singh, Luca Soldaini, Mike D'Arcy, Arman Cohan, Doug Downey

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization.

Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

OpenRT: An Open-source Framework for Reasoning Over Tabular Data.

Yilun Zhao, Boyu Mi, Zhenting Qi, Linyong Nan, Minghao Guo, Arman Cohan, Dragomir Radev

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering.

Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning.

Xiangru Tang, Arman Cohan, Mark Gerstein

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

ABNIRML: Analyzing the Behavior of Neural IR Models.

Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan

Trans. Assoc. Comput. Linguistics, 2022

Exploring the Challenges of Open Domain Multi-Document Summarization.

John M. Giorgi, Luca Soldaini, Bo Wang, Gary D. Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan

CoRR, 2022

MultiVerS: Improving scientific claim verification with weak supervision and full-document context.

David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity.

Sheshera Mysore, Arman Cohan, Tom Hope

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting.

Anne Lauscher, Brandon Ko, Bailey Kuehl, Sophie Johnson, Arman Cohan, David Jurgens, Kyle Lo

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Long Context Question Answering via Supervised Contrastive Learning.

Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

SciFact-Open: Towards open-domain scientific claim verification.

David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, Hannaneh Hajishirzi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP).

Arman Cohan, Guy Feigenblat, Tirthankar Ghosal, Michal Shmueli-Scheuer

Proceedings of the Third Workshop on Scholarly Document Processing, 2022

Overview of the Third Workshop on Scholarly Document Processing.

Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang

Proceedings of the Third Workshop on Scholarly Document Processing, 2022

PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization.

Wen Xiao, Iz Beltagy, Giuseppe Carenini, Arman Cohan

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires.

Thong Nguyen, Andrew Yates, Ayah Zirikly, Bart Desmet, Arman Cohan

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Zero- and Few-Shot NLP with Pretrained Language Models.

Iz Beltagy, Arman Cohan, Robert L. Logan IV, Sewon Min, Sameer Singh

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

Generating Scientific Claims for Zero-Shot Scientific Fact Checking.

Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

ParsiNLU: A Suite of Language Understanding Challenges for Persian.

Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh

Trans. Assoc. Comput. Linguistics, 2021

Utilizing Evidence Spans via Sequence-Level Contrastive Learning for Long-Context Question Answering.

Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan

CoRR, 2021

LongChecker: Improving scientific claim verification by modeling full-abstract context.

David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi

CoRR, 2021

PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization.

Wen Xiao, Iz Beltagy, Giuseppe Carenini, Arman Cohan

CoRR, 2021

Cross-Document Language Modeling.

Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan

CoRR, 2021

Simplified Data Wrangling with ir_datasets.

Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

FLEX: Unifying Evaluation for Few-Shot NLP.

Jonathan Bragg, Arman Cohan, Kyle Lo, Iz Beltagy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers.

Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

CDLM: Cross-Document Language Modeling.

Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

On Generating Extended Summaries of Long Documents.

Sajad Sotudeh, Arman Cohan, Nazli Goharian

Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

2020

SLEDGE: A Simple Yet Effective Baseline for Coronavirus Scientific Knowledge Search.

Sean MacAvaney, Arman Cohan, Nazli Goharian

CoRR, 2020

Longformer: The Long-Document Transformer.

Iz Beltagy, Matthew E. Peters, Arman Cohan

CoRR, 2020

Fact or Fiction: Verifying Scientific Claims.

David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search.

Sean MacAvaney, Arman Cohan, Nazli Goharian

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

GUIR @ LongSumm 2020: Learning to Generate Long Summaries from Scientific Documents.

Sajad Sotudeh Gharebagh, Arman Cohan, Nazli Goharian

Proceedings of the First Workshop on Scholarly Document Processing, 2020

TLDR: Extreme Summarization of Scientific Documents.

Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Ranking Significant Discrepancies in Clinical Reports.

Sean MacAvaney, Arman Cohan, Nazli Goharian, Ross W. Filice

Proceedings of the Advances in Information Retrieval, 2020

SUPP.AI: finding evidence for supplement-drug interactions.

Lucy Lu Wang, Oyvind Tafjord, Arman Cohan, Sarthak Jain, Sam Skjonsberg, Carissa Schoenick, Nick Botner, Waleed Ammar

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

SPECTER: Document-level Representation Learning using Citation-informed Transformers.

Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Overcoming low-utility facets for complex answer retrieval.

Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder

Inf. Retr. J., 2019

Extracting evidence of supplement-drug interactions from literature.

Lucy Lu Wang, Oyvind Tafjord, Sarthak Jain, Arman Cohan, Sam Skjonsberg, Carissa Schoenick, Nick Botner, Waleed Ammar

CoRR, 2019

SciBERT: Pretrained Contextualized Embeddings for Scientific Text.

Iz Beltagy, Arman Cohan, Kyle Lo

CoRR, 2019

CEDR: Contextualized Embeddings for Document Ranking.

Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Ontology-Aware Clinical Abstractive Summarization.

Sean MacAvaney, Sajad Sotudeh, Arman Cohan, Nazli Goharian, Ish A. Talati, Ross W. Filice

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Structural Scaffolds for Citation Intent Classification in Scientific Publications.

Arman Cohan, Waleed Ammar, Madeleine van Zuylen, Field Cady

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Pretrained Language Models for Sequential Sentence Classification.

Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Daniel S. Weld

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

SciBERT: A Pretrained Language Model for Scientific Text.

Iz Beltagy, Kyle Lo, Arman Cohan

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Text Summarization and Categorization for Scientific and Health-Related Data.

Arman Cohan

SIGIR Forum, 2018

Scientific document summarization via citation contextualization and scientific discourse.

Arman Cohan, Nazli Goharian

Int. J. Digit. Libr., 2018

Characterizing Question Facets for Complex Answer Retrieval.

Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification.

Sean MacAvaney, Luca Soldaini, Arman Cohan, Nazli Goharian

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents.

Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, Nazli Goharian

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

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

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Relation Extraction for Protein-protein Interactions Affected by Mutations.

Ziling Fan, Luca Soldaini, Arman Cohan, Nazli Goharian

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Helping or Hurting? Predicting Changes in Users' Risk of Self-Harm Through Online Community Interactions.

Luca Soldaini, Timothy Walsh, Arman Cohan, Julien Han, Nazli Goharian

Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, 2018

RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses.

Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly, Nazli Goharian

Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, 2018

2017

Triaging content severity in online mental health forums.

Arman Cohan, Sydney Young, Andrew Yates, Nazli Goharian

J. Assoc. Inf. Sci. Technol., 2017

Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledge.

Arman Cohan, Nazli Goharian

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

GUIR at SemEval-2017 Task 12: A Framework for Cross-Domain Clinical Temporal Information Extraction.

Sean MacAvaney, Arman Cohan, Nazli Goharian

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Depression and Self-Harm Risk Assessment in Online Forums.

Andrew Yates, Arman Cohan, Nazli Goharian

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Neural Attention Model for Categorizing Patient Safety Events.

Arman Cohan, Allan Fong, Nazli Goharian, Raj M. Ratwani

Proceedings of the Advances in Information Retrieval, 2017

Identifying Harm Events in Clinical Care through Medical Narratives.

Arman Cohan, Allan Fong, Raj M. Ratwani, Nazli Goharian

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016

GUIR at SemEval-2016 task 12: Temporal Information Processing for Clinical Narratives.

Arman Cohan, Kevin Meurer, Nazli Goharian

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Triaging Mental Health Forum Posts.

Arman Cohan, Sydney Young, Nazli Goharian

Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016

Revisiting Summarization Evaluation for Scientific Articles.

Arman Cohan, Nazli Goharian

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

2015

Matching Citation Text and Cited Spans in Biomedical Literature: a Search-Oriented Approach.

Arman Cohan, Luca Soldaini, Nazli Goharian

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Scientific Article Summarization Using Citation-Context and Article's Discourse Structure.

Arman Cohan, Nazli Goharian

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Retrieving Medical Literature for Clinical Decision Support.

Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, Ophir Frieder

Proceedings of the Advances in Information Retrieval, 2015

2014

Query Reformulation for Clinical Decision Support Search.

Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, Ophir Frieder

Proceedings of The Twenty-Third Text REtrieval Conference, 2014

On clinical decision support.

Arman Cohan, Luca Soldaini, Andrew Yates, Nazli Goharian, Ophir Frieder

Proceedings of the 5th ACM Conference on Bioinformatics, 2014