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Armineh Nourbakhsh
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Journal Articles
- 2020
- [j2]Natraj Raman, Grace Bang, Armineh Nourbakhsh:
Mapping ESG Trends by Distant Supervision of Neural Language Models. Mach. Learn. Knowl. Extr. 2(4): 453-468 (2020) - 2012
- [j1]Christopher S. G. Khoo, Armineh Nourbakhsh, Jin-Cheon Na
:
Sentiment analysis of online news text: a case study of appraisal theory. Online Inf. Rev. 36(6): 858-878 (2012)
Conference and Workshop Papers
- 2023
- [c27]Armineh Nourbakhsh, Sameena Shah, Carolyn P. Rosé:
Using counterfactual contrast to improve compositional generalization for multi-step quantitative reasoning. ACL (1) 2023: 14930-14943 - [c26]Sameena Shah
, Xiaodan Zhu
, Gerard de Melo
, Armineh Nourbakhsh
, Xiaomo Liu
, Zhiqiang Ma
, Charese Smiley
, Zhiyu Chen
:
Robust NLP for Finance (RobustFin). KDD 2023: 5884-5885 - [c25]Dongsheng Wang
, Zhiqiang Ma
, Armineh Nourbakhsh
, Kang Gu
, Sameena Shah
:
DocGraphLM: Documental Graph Language Model for Information Extraction. SIGIR 2023: 1944-1948 - [c24]Petr Babkin
, William Watson
, Zhiqiang Ma
, Lucas Cecchi
, Natraj Raman
, Armineh Nourbakhsh
, Sameena Shah
:
BizGraphQA: A Dataset for Image-based Inference over Graph-structured Diagrams from Business Domains. SIGIR 2023: 2691-2700 - [c23]Sameena Shah
, Xiaodan Zhu
, Wenhu Chen
, Manling Li
, Armineh Nourbakhsh
, Xiaomo Liu
, Zhiqiang Ma
, Charese Smiley
, Yulong Pei
, Akshat Gupta
:
Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop. SIGIR 2023: 3464-3467 - 2022
- [c22]Armineh Nourbakhsh, Cathy Jiao, Sameena Shah, Carolyn P. Rosé:
Improving compositional generalization for multi-step quantitative reasoning in question answering. EMNLP 2022: 1916-1932 - 2021
- [c21]Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Domain-agnostic Document Representation Learning Using Latent Topics and Metadata. FLAIRS 2021 - 2020
- [c20]Zhiqiang Ma, Steven Pomerville, Mingyang Di, Armineh Nourbakhsh:
SPot: A Tool for Identifying Operating Segments in Financial Tables. SIGIR 2020: 2157-2160 - [c19]Armineh Nourbakhsh, Mohammad M. Ghassemi, Steven Pomerville:
SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports. WSDM 2020: 853-856 - 2018
- [c18]Xin Shuai, Xiaomo Liu, Armineh Nourbakhsh, Sameena Shah, Tonya Custis:
TipMaster: A Knowledge Base of Authoritative Local News Sources on Social Media. AAAI 2018: 7825-7830 - [c17]Fabio Petroni, Natraj Raman, Timothy Nugent, Armineh Nourbakhsh, Zarko Panic, Sameena Shah, Jochen L. Leidner
:
An Extensible Event Extraction System With Cross-Media Event Resolution. KDD 2018: 626-635 - 2017
- [c16]Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li, Sameena Shah, Robert Martin, John Duprey:
Reuters tracer: Toward automated news production using large scale social media data. IEEE BigData 2017: 1483-1493 - [c15]Quanzhi Li, Armineh Nourbakhsh, Sameena Shah, Xiaomo Liu:
Real-Time Novel Event Detection from Social Media. ICDE 2017: 1129-1139 - [c14]Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh:
Data Sets: Word Embeddings Learned from Tweets and General Data. ICWSM 2017: 428-436 - [c13]Quanzhi Li, Armineh Nourbakhsh, Xiaomo Liu, Rui Fang, Sameena Shah:
funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts. SemEval@ACL 2017: 741-746 - [c12]Quanzhi Li, Sameena Shah, Armineh Nourbakhsh, Rui Fang, Xiaomo Liu:
funSentiment at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs Using Word Vectors Built from StockTwits and Twitter. SemEval@ACL 2017: 852-856 - 2016
- [c11]Quanzhi Li, Sameena Shah, Rui Fang, Armineh Nourbakhsh, Xiaomo Liu:
Discovering Relevant Hashtags for Health Concepts: A Case Study of Twitter. AAAI Workshop: WWW and Population Health Intelligence 2016 - [c10]Rui Fang, Armineh Nourbakhsh, Xiaomo Liu, Sameena Shah, Quanzhi Li:
Witness Identification in Twitter. SocialNLP@EMNLP 2016: 65-73 - [c9]Quanzhi Li, Sameena Shah, Mohammad Mahdi Ghassemi, Rui Fang, Armineh Nourbakhsh, Xiaomo Liu:
Using paraphrases to improve tweet classification: Comparing WordNet and word embedding approaches. IEEE BigData 2016: 4014-4016 - [c8]Xiaomo Liu, Quanzhi Li, Armineh Nourbakhsh, Rui Fang, Merine Thomas, Kajsa Anderson, Russ Kociuba, Mark Vedder, Steven Pomerville, Ramdev Wudali, Robert Martin, John Duprey, Arun Vachher, William Keenan, Sameena Shah:
Reuters Tracer: A Large Scale System of Detecting & Verifying Real-Time News Events from Twitter. CIKM 2016: 207-216 - [c7]Quanzhi Li, Sameena Shah, Armineh Nourbakhsh, Xiaomo Liu, Rui Fang:
Hashtag Recommendation Based on Topic Enhanced Embedding, Tweet Entity Data and Learning to Rank. CIKM 2016: 2085-2088 - [c6]Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh, Rui Fang:
TweetSift: Tweet Topic Classification Based on Entity Knowledge Base and Topic Enhanced Word Embedding. CIKM 2016: 2429-2432 - [c5]Quanzhi Li, Xiaomo Liu, Rui Fang, Armineh Nourbakhsh, Sameena Shah:
User Behaviors in Newsworthy Rumors: A Case Study of Twitter. ICWSM 2016: 627-630 - [c4]Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh, Rui Fang:
Tweet Topic Classification Using Distributed Language Representations. WI 2016: 81-88 - [c3]Quanzhi Li, Sameena Shah, Rui Fang, Armineh Nourbakhsh, Xiaomo Liu:
Tweet Sentiment Analysis by Incorporating Sentiment-Specific Word Embedding and Weighted Text Features. WI 2016: 568-571 - 2015
- [c2]Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li, Rui Fang, Sameena Shah:
Real-time Rumor Debunking on Twitter. CIKM 2015: 1867-1870 - [c1]Armineh Nourbakhsh, Xiaomo Liu, Sameena Shah, Rui Fang, Mohammad Mahdi Ghassemi, Quanzhi Li:
Newsworthy Rumor Events: A Case Study of Twitter. ICDM Workshops 2015: 27-32
Informal and Other Publications
- 2024
- [i15]Dongsheng Wang, Natraj Raman, Mathieu Sibue, Zhiqiang Ma, Petr Babkin, Simerjot Kaur, Yulong Pei, Armineh Nourbakhsh, Xiaomo Liu:
DocLLM: A layout-aware generative language model for multimodal document understanding. CoRR abs/2401.00908 (2024) - [i14]Reza Khanmohammadi, Simerjot Kaur, Charese H. Smiley, Tuka Alhanai, Ivan Brugere, Armineh Nourbakhsh, Mohammad M. Ghassemi:
The Influence of Biomedical Research on Future Business Funding: Analyzing Scientific Impact and Content in Industrial Investments. CoRR abs/2401.00942 (2024) - [i13]Dongsheng Wang, Zhiqiang Ma, Armineh Nourbakhsh, Kang Gu, Sameena Shah:
DocGraphLM: Documental Graph Language Model for Information Extraction. CoRR abs/2401.02823 (2024) - [i12]Ran Zmigrod, Zhiqiang Ma, Armineh Nourbakhsh, Sameena Shah:
TreeForm: End-to-end Annotation and Evaluation for Form Document Parsing. CoRR abs/2402.05282 (2024) - [i11]Salwa Alamir, Armineh Nourbakhsh, Cecilia Tilli, Sameena Shah, Manuela Veloso:
Belief and Persuasion in Scientific Discourse on Social Media: A Study of the COVID-19 Pandemic. CoRR abs/2403.09260 (2024) - [i10]Ran Zmigrod, Dongsheng Wang, Mathieu Sibue, Yulong Pei, Petr Babkin, Ivan Brugere, Xiaomo Liu, Nacho Navarro, Antony Papadimitriou, William Watson, Zhiqiang Ma, Armineh Nourbakhsh, Sameena Shah:
BuDDIE: A Business Document Dataset for Multi-task Information Extraction. CoRR abs/2404.04003 (2024) - [i9]Zhiyu Zoey Chen, Jing Ma, Xinlu Zhang, Nan Hao, An Yan, Armineh Nourbakhsh, Xianjun Yang, Julian J. McAuley, Linda R. Petzold, William Yang Wang:
A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law. CoRR abs/2405.01769 (2024) - 2021
- [i8]Mahmoud Mahfouz, Armineh Nourbakhsh, Sameena Shah:
A Framework for Institutional Risk Identification using Knowledge Graphs and Automated News Profiling. CoRR abs/2109.09103 (2021) - [i7]Simerjot Kaur, Ivan Brugere, Andrea Stefanucci, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Parameterized Explanations for Investor / Company Matching. CoRR abs/2111.01911 (2021) - 2020
- [i6]Zhiqiang Ma, Steven Pomerville, Mingyang Di, Armineh Nourbakhsh:
SPot: A tool for identifying operating segments in financial tables. CoRR abs/2005.12966 (2020) - [i5]Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Robust Document Representations using Latent Topics and Metadata. CoRR abs/2010.12681 (2020) - 2019
- [i4]Armineh Nourbakhsh, Grace Bang:
A framework for anomaly detection using language modeling, and its applications to finance. CoRR abs/1908.09156 (2019) - 2017
- [i3]Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh:
Data Sets: Word Embeddings Learned from Tweets and General Data. CoRR abs/1708.03994 (2017) - [i2]Armineh Nourbakhsh, Quanzhi Li, Xiaomo Liu, Sameena Shah:
"Breaking" Disasters: Predicting and Characterizing the Global News Value of Natural and Man-made Disasters. CoRR abs/1709.02510 (2017) - [i1]Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li, Sameena Shah, Robert Martin, John Duprey:
Reuters Tracer: Toward Automated News Production Using Large Scale Social Media Data. CoRR abs/1711.04068 (2017)
Coauthor Index
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