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2020 – today
- 2024
- [c55]Armineh Nourbakhsh, Sameena Shah, Carolyn P. Rosé:
Towards a new research agenda for multimodal enterprise document understanding: What are we missing? ACL (Findings) 2024: 14610-14622 - [c54]Armineh Nourbakhsh, Zhao Jin, Siddharth Parekh, Sameena Shah, Carolyn P. Rosé:
AliGATr: Graph-based layout generation for form understanding. EMNLP (Findings) 2024: 13309-13328 - [i30]Dongsheng Wang, Zhiqiang Ma, Armineh Nourbakhsh, Kang Gu, Sameena Shah:
DocGraphLM: Documental Graph Language Model for Information Extraction. CoRR abs/2401.02823 (2024) - [i29]Ran Zmigrod, Zhiqiang Ma, Armineh Nourbakhsh, Sameena Shah:
TreeForm: End-to-end Annotation and Evaluation for Form Document Parsing. CoRR abs/2402.05282 (2024) - [i28]Rares Dolga, Ran Zmigrod, Rui Silva, Salwa Alamir, Sameena Shah:
Log Summarisation for Defect Evolution Analysis. CoRR abs/2403.08358 (2024) - [i27]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) - [i26]Yulong Pei, Salwa Alamir, Rares Dolga, Sameena Shah:
Code Revert Prediction with Graph Neural Networks: A Case Study at J.P. Morgan Chase. CoRR abs/2403.09507 (2024) - [i25]Toyin Aguda, Suchetha Siddagangappa, Elena Kochkina, Simerjot Kaur, Dongsheng Wang, Charese Smiley, Sameena Shah:
Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency. CoRR abs/2403.18152 (2024) - [i24]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) - 2023
- [c53]Armineh Nourbakhsh, Sameena Shah, Carolyn P. Rosé:
Using counterfactual contrast to improve compositional generalization for multi-step quantitative reasoning. ACL (1) 2023: 14930-14943 - [c52]Natraj Raman, Daniele Magazzeni, Sameena Shah:
Bayesian Hierarchical Models for Counterfactual Estimation. AISTATS 2023: 1115-1128 - [c51]Xianzhi Li, Samuel Chan, Xiaodan Zhu, Yulong Pei, Zhiqiang Ma, Xiaomo Liu, Sameena Shah:
Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks. EMNLP (Industry Track) 2023: 408-422 - [c50]Nacho Navarro, Salwa Alamir, Petr Babkin, Sameena Shah:
An Automated Code Update Tool For Python Packages. ICSME 2023: 536-540 - [c49]Yi Wu
, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah:
How Effective Are Neural Networks for Fixing Security Vulnerabilities. ISSTA 2023: 1282-1294 - [c48]Sameena Shah
Robust NLP for Finance (RobustFin). KDD 2023: 5884-5885 - [c47]Yulong Pei, Salwa Alamir, Rares Dolga, Sameena Shah:
Code Revert Prediction with Graph Neural Networks: A Case Study at J.P. Morgan Chase. SDD@SIGSOFT FSE 2023: 1-5 - [c46]Rares Dolga, Ran Zmigrod, Rui Silva, Salwa Alamir, Sameena Shah:
Log Summarisation for Defect Evolution Analysis. SDD@SIGSOFT FSE 2023: 11-16 - [c45]Dongsheng Wang
DocGraphLM: Documental Graph Language Model for Information Extraction. SIGIR 2023: 1944-1948 - [c44]Petr Babkin
BizGraphQA: A Dataset for Image-based Inference over Graph-structured Diagrams from Business Domains. SIGIR 2023: 2691-2700 - [c43]Simerjot Kaur
REFinD: Relation Extraction Financial Dataset. SIGIR 2023: 3054-3063 - [c42]Sameena Shah
Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop. SIGIR 2023: 3464-3467 - [c41]Akshat Gupta, Xiaomo Liu, Sameena Shah:
Unsupervised Domain Adaptation using Lexical Transformations and Label Injection for Twitter Data. WASSA@ACL 2023: 184-193 - [i23]Natraj Raman, Daniele Magazzeni, Sameena Shah:
Bayesian Hierarchical Models for Counterfactual Estimation. CoRR abs/2301.08833 (2023) - [i22]Xianzhi Li, Xiaodan Zhu, Zhiqiang Ma, Xiaomo Liu, Sameena Shah:
Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? An Examination on Several Typical Tasks. CoRR abs/2305.05862 (2023) - [i21]Simerjot Kaur, Charese Smiley, Akshat Gupta, Joy Sain, Dongsheng Wang, Suchetha Siddagangappa, Toyin Aguda, Sameena Shah:
REFinD: Relation Extraction Financial Dataset. CoRR abs/2305.18322 (2023) - [i20]Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah:
How Effective Are Neural Networks for Fixing Security Vulnerabilities. CoRR abs/2305.18607 (2023) - [i19]Akshat Gupta, Xiaomo Liu, Sameena Shah:
Unsupervised Domain Adaptation using Lexical Transformations and Label Injection for Twitter Data. CoRR abs/2307.10210 (2023) - [i18]Natraj Raman, Sameena Shah:
Synthetic Text Generation using Hypergraph Representations. CoRR abs/2309.06550 (2023) - [i17]Ethan Callanan, Amarachi Mbakwe, Antony Papadimitriou, Yulong Pei, Mathieu Sibue, Xiaodan Zhu, Zhiqiang Ma, Xiaomo Liu, Sameena Shah:
Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams. CoRR abs/2310.08678 (2023) - 2022
- [j5]Natraj Raman, Sameena Shah, Manuela Veloso:
Synthetic document generator for annotation-free layout recognition. Pattern Recognit. 128: 108660 (2022) - [j4]Riyasat Ohib, Nicolas Gillis, Niccolò Dalmasso, Sameena Shah, Vamsi K. Potluru, Sergey M. Plis:
Explicit Group Sparse Projection with Applications to Deep Learning and NMF. Trans. Mach. Learn. Res. 2022 (2022) - [c40]Alec Louis Candidato, Akshat Gupta, Xiaomo Liu, Sameena Shah:
AIR-JPMC@SMM4H'22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models. SMM4H@COLING 2022: 135-137 - [c39]Adrian Garcia Hernandez, Leung Wai Liu, Akshat Gupta, Vineeth Ravi, Saheed O. Obitayo, Xiaomo Liu, Sameena Shah:
AIR-JPMC@SMM4H'22: Identifying Self-Reported Spanish COVID-19 Symptom Tweets Through Multiple-Model Ensembling. SMM4H@COLING 2022: 160-162 - [c38]Leung Wai Liu, Akshat Gupta, Saheed Obitayo, Xiaomo Liu, Sameena Shah:
AIR-JPMC@SMM4H'22: BERT + Ensembling = Too Cool: Using Multiple BERT Models Together for Various COVID-19 Tweet Identification Tasks. SMM4H@COLING 2022: 163-167 - [c37]Armineh Nourbakhsh, Cathy Jiao, Sameena Shah, Carolyn P. Rosé:
Improving compositional generalization for multi-step quantitative reasoning in question answering. EMNLP 2022: 1916-1932 - [c36]Zhiyu Chen, Shiyang Li, Charese Smiley, Zhiqiang Ma, Sameena Shah, William Yang Wang:
ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering. EMNLP 2022: 6279-6292 - [c35]Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Tucker Balch, Sameena Shah, Manuela Veloso:
Online Learning for Mixture of Multivariate Hawkes Processes. ICAIF 2022: 506-513 - [c34]Salwa Alamir, Petr Babkin, Nacho Navarro, Sameena Shah:
AI for Automated Code Updates. ICSE (SEIP) 2022: 25-26 - [c33]Natraj Raman, Sameena Shah, Manuela Veloso:
Structure and Semantics Preserving Document Representations. SIGIR 2022: 780-790 - [i16]Natraj Raman, Sameena Shah, Manuela Veloso:
Structure with Semantics: Exploiting Document Relations for Retrieval. CoRR abs/2201.03720 (2022) - [i15]Cenk Baykal, Vamsi K. Potluru, Sameena Shah, Manuela M. Veloso:
Bandit Sampling for Multiplex Networks. CoRR abs/2202.03621 (2022) - [i14]Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Sameena Shah, Tucker Balch, Manuela Veloso:
Online Learning for Mixture of Multivariate Hawkes Processes. CoRR abs/2208.07961 (2022) - [i13]Alec Candidato, Akshat Gupta, Xiaomo Liu, Sameena Shah:
AIR-JPMC@SMM4H'22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models. CoRR abs/2209.10763 (2022) - [i12]Zhiyu Chen, Shiyang Li, Charese Smiley, Zhiqiang Ma, Sameena Shah, William Yang Wang:
ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering. CoRR abs/2210.03849 (2022) - [i11]Petr Babkin, Nacho Navarro, Salwa Alamir, Sameena Shah:
Neural Transition-based Parsing of Library Deprecations. CoRR abs/2212.12584 (2022) - 2021
- [c32]Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, Reema Moussa, Matt Beane, Ting-Hao Huang
FinQA: A Dataset of Numerical Reasoning over Financial Data. EMNLP (1) 2021: 3697-3711 - [c31]Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Domain-agnostic Document Representation Learning Using Latent Topics and Metadata. FLAIRS 2021 - [c30]Shangshu Qian, Hung Viet Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, Sameena Shah:
Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training. NeurIPS 2021: 30211-30227 - [i10]Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, Reema Moussa, Matt Beane, Ting-Hao Huang, Bryan R. Routledge, William Yang Wang:
FinQA: A Dataset of Numerical Reasoning over Financial Data. CoRR abs/2109.00122 (2021) - [i9]Mahmoud Mahfouz, Armineh Nourbakhsh, Sameena Shah:
A Framework for Institutional Risk Identification using Knowledge Graphs and Automated News Profiling. CoRR abs/2109.09103 (2021) - [i8]Simerjot Kaur, Ivan Brugere, Andrea Stefanucci, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Parameterized Explanations for Investor / Company Matching. CoRR abs/2111.01911 (2021) - [i7]Natraj Raman, Sameena Shah, Manuela Veloso:
Synthetic Document Generator for Annotation-free Layout Recognition. CoRR abs/2111.06016 (2021) - 2020
- [c29]Daniel Borrajo, Manuela Veloso, Sameena Shah:
Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering. ICAIF 2020: 3:1-3:8 - [e1]Manas Gaur, Alejandro Jaimes, Fatma Ozcan, Srinivasan Parthasarathy, Sameena Shah, Amit P. Sheth, Biplav Srivastava:
Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), San Diego, California, USA, August 24, 2020. CEUR Workshop Proceedings 2657, CEUR-WS.org 2020 [contents] - [i6]Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Robust Document Representations using Latent Topics and Metadata. CoRR abs/2010.12681 (2020) - [i5]Daniel Borrajo, Manuela Veloso, Sameena Shah:
Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering. CoRR abs/2011.01826 (2020) - [i4]Ashrya Agrawal, Florian Pfisterer, Bernd Bischl, Jiahao Chen, Srijan Sood, Sameena Shah, Francois Buet-Golfouse, Bilal A. Mateen, Sebastian J. Vollmer:
Debiasing classifiers: is reality at variance with expectation? CoRR abs/2011.02407 (2020)
2010 – 2019
- 2018
- [c28]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 - [c27]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
- [c26]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 - [c25]Quanzhi Li, Sameena Shah:
Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits. CoNLL 2017: 301-310 - [c24]Quanzhi Li, Armineh Nourbakhsh, Sameena Shah, Xiaomo Liu:
Real-Time Novel Event Detection from Social Media. ICDE 2017: 1129-1139 - [c23]Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh:
Data Sets: Word Embeddings Learned from Tweets and General Data. ICWSM 2017: 428-436 - [c22]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 - [c21]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 - [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) - 2016
- [c20]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 - [c19]Rui Fang, Armineh Nourbakhsh, Xiaomo Liu, Sameena Shah, Quanzhi Li:
Witness Identification in Twitter. SocialNLP@EMNLP 2016: 65-73 - [c18]Quanzhi Li, Sameena Shah, Rui Fang:
Table classification using both structure and content information: A case study of financial documents. IEEE BigData 2016: 1778-1783 - [c17]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 - [c16]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 - [c15]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 - [c14]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 - [c13]Amit Shavit, Sameena Shah:
Perceived, Projected, and True Investment Expertise: Not All Experts Provide Expert Recommendations. DSAA 2016: 361-369 - [c12]Quanzhi Li, Xiaomo Liu, Rui Fang, Armineh Nourbakhsh, Sameena Shah:
User Behaviors in Newsworthy Rumors: A Case Study of Twitter. ICWSM 2016: 627-630 - [c11]Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh, Rui Fang:
Tweet Topic Classification Using Distributed Language Representations. WI 2016: 81-88 - [c10]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
- [c9]Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li, Rui Fang, Sameena Shah:
Real-time Rumor Debunking on Twitter. CIKM 2015: 1867-1870 - [c8]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 - 2014
- [c7]Wenhui Liao, Sameena Shah, Masoud Makrehchi:
Winning by Following the Winners: Mining the Behaviour of Stock Market Experts in Social Media. SBP 2014: 103-110 - 2013
- [j3]Sameena Shah, Ravi Kothari:
Convergence of the dynamic load balancing problem to Nash equilibrium using distributed local interactions. Inf. Sci. 221: 297-305 (2013) - [j2]Jayadeva, Sameena Shah, Amit Bhaya
Ants find the shortest path: a mathematical proof. Swarm Intell. 7(1): 43-62 (2013) - [c6]Masoud Makrehchi, Sameena Shah, Wenhui Liao:
Stock Prediction Using Event-Based Sentiment Analysis. Web Intelligence 2013: 337-342 - 2011
- [c5]Jayadeva, Sameena Shah, Ravi Kothari, Suresh Chandra:
Debugging ants: How ants find the shortest route. ICICS 2011: 1-5 - [c4]Sameena Shah, Jayadeva, Ravi Kothari, Suresh Chandra:
M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions. AAAI 2011: 732-737 - 2010
- [j1]Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra:
Trail formation in ants. A generalized Polya urn process. Swarm Intell. 4(2): 145-171 (2010)
2000 – 2009
- 2009
- [c3]Jayadeva, Sameena Shah, Suresh Chandra:
Kernel Optimization Using a Generalized Eigenvalue Approach. PReMI 2009: 32-37 - [c2]Jayadeva, Sameena Shah, Suresh Chandra:
Zero Norm Least Squares Proximal SVR. PReMI 2009: 38-43 - 2008
- [c1]Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra:
Mathematical Modeling and Convergence Analysis of Trail Formation. AAAI 2008: 170-175
Coauthor Index
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last updated on 2024-11-19 20:47 CET by the dblp team
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