17 citations · 78 across the 11 of their papers we have counts for
11 papers
BuDDIE: A Business Document Dataset for Multi-task Information Extraction
Ran Zmigrod, Dongsheng Wang, Mathieu Sibue +10
The field of visually rich document understanding (VRDU) aims to solve a multitude of well-researched NLP tasks in a multi-modal domain. Several datasets exist for research on spec…
DocLLM: A layout-aware generative language model for multimodal document understanding
Dongsheng Wang, Natraj Raman, Mathieu Sibue +6
Enterprise documents such as forms, invoices, receipts, reports, contracts, and other similar records, often carry rich semantics at the intersection of textual and spatial modalit…
Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams
Ethan Callanan, Amarachi Mbakwe, Antony Papadimitriou +6
Large Language Models (LLMs) have demonstrated remarkable performance on a wide range of Natural Language Processing (NLP) tasks, often matching or even beating state-of-the-art ta…
Unsupervised Domain Adaptation using Lexical Transformations and Label Injection for Twitter Data
Akshat Gupta, Xiaomo Liu, Sameena Shah
Domain adaptation is an important and widely studied problem in natural language processing. A large body of literature tries to solve this problem by adapting models trained on th…
Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks
Xianzhi Li, Samuel Chan, Xiaodan Zhu +4
The most recent large language models(LLMs) such as ChatGPT and GPT-4 have shown exceptional capabilities of generalist models, achieving state-of-the-art performance on a wide ran…
AIR-JPMC@SMM4H'22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models
Alec Candidato, Akshat Gupta, Xiaomo Liu +1
This paper presents our submission for the SMM4H 2022-Shared Task on the classification of self-reported intimate partner violence on Twitter (in English). The goal of this task wa…
Towards Earnings Call and Stock Price Movement
Zhiqiang Ma, Grace Bang, Chong Wang +1
Earnings calls are hosted by management of public companies to discuss the company's financial performance with analysts and investors. Information disclosed during an earnings cal…
Empirical Study on Detecting Controversy in Social Media
Azadeh Nematzadeh, Grace Bang, Xiaomo Liu +1
Companies and financial investors are paying increasing attention to social consciousness in developing their corporate strategies and making investment decisions to support a sust…
Reuters Tracer: Toward Automated News Production Using Large Scale Social Media Data
Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li +3
To deal with the sheer volume of information and gain competitive advantage, the news industry has started to explore and invest in news automation. In this paper, we present Reute…
"Breaking" Disasters: Predicting and Characterizing the Global News Value of Natural and Man-made Disasters
Armineh Nourbakhsh, Quanzhi Li, Xiaomo Liu +1
Due to their often unexpected nature, natural and man-made disasters are difficult to monitor and detect for journalists and disaster management response teams. Journalists are inc…
Data Sets: Word Embeddings Learned from Tweets and General Data
Quanzhi Li, Sameena Shah, Xiaomo Liu +1
A word embedding is a low-dimensional, dense and real- valued vector representation of a word. Word embeddings have been used in many NLP tasks. They are usually gener- ated from a…