Armineh Nourbakhsh

Orcid: 0009-0004-1908-8679

According to our database1, Armineh Nourbakhsh authored at least 43 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law.
CoRR, 2024

BuDDIE: A Business Document Dataset for Multi-task Information Extraction.
CoRR, 2024

Belief and Persuasion in Scientific Discourse on Social Media: A Study of the COVID-19 Pandemic.
CoRR, 2024

TreeForm: End-to-end Annotation and Evaluation for Form Document Parsing.
CoRR, 2024

The Influence of Biomedical Research on Future Business Funding: Analyzing Scientific Impact and Content in Industrial Investments.
CoRR, 2024

"What is the value of templates?" Rethinking Document Information Extraction Datasets for LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

AliGATr: Graph-based layout generation for form understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Towards a new research agenda for multimodal enterprise document understanding: What are we missing?
Proceedings of the Findings of the Association for Computational Linguistics, 2024

DocLLM: A Layout-Aware Generative Language Model for Multimodal Document Understanding.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
DocGraphLM: Documental Graph Language Model for Information Extraction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

BizGraphQA: A Dataset for Image-based Inference over Graph-structured Diagrams from Business Domains.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Robust NLP for Finance (RobustFin).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Using counterfactual contrast to improve compositional generalization for multi-step quantitative reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Improving compositional generalization for multi-step quantitative reasoning in question answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Parameterized Explanations for Investor / Company Matching.
CoRR, 2021

A Framework for Institutional Risk Identification using Knowledge Graphs and Automated News Profiling.
CoRR, 2021

Domain-agnostic Document Representation Learning Using Latent Topics and Metadata.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020
Mapping ESG Trends by Distant Supervision of Neural Language Models.
Mach. Learn. Knowl. Extr., 2020

Robust Document Representations using Latent Topics and Metadata.
CoRR, 2020

SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

SPot: A Tool for Identifying Operating Segments in Financial Tables.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019
A framework for anomaly detection using language modeling, and its applications to finance.
CoRR, 2019

2018
An Extensible Event Extraction System With Cross-Media Event Resolution.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

TipMaster: A Knowledge Base of Authoritative Local News Sources on Social Media.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
"Breaking" Disasters: Predicting and Characterizing the Global News Value of Natural and Man-made Disasters.
CoRR, 2017

funSentiment at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs Using Word Vectors Built from StockTwits and Twitter.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Data Sets: Word Embeddings Learned from Tweets and General Data.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Real-Time Novel Event Detection from Social Media.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Reuters tracer: Toward automated news production using large scale social media data.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Tweet Topic Classification Using Distributed Language Representations.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Tweet Sentiment Analysis by Incorporating Sentiment-Specific Word Embedding and Weighted Text Features.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

User Behaviors in Newsworthy Rumors: A Case Study of Twitter.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Reuters Tracer: A Large Scale System of Detecting & Verifying Real-Time News Events from Twitter.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Hashtag Recommendation Based on Topic Enhanced Embedding, Tweet Entity Data and Learning to Rank.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

TweetSift: Tweet Topic Classification Based on Entity Knowledge Base and Topic Enhanced Word Embedding.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Using paraphrases to improve tweet classification: Comparing WordNet and word embedding approaches.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Witness Identification in Twitter.
Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media, 2016

Discovering Relevant Hashtags for Health Concepts: A Case Study of Twitter.
Proceedings of the World Wide Web and Population Health Intelligence, 2016

2015
Newsworthy Rumor Events: A Case Study of Twitter.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Real-time Rumor Debunking on Twitter.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2012
Sentiment analysis of online news text: a case study of appraisal theory.
Online Inf. Rev., 2012


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