no code implementations • 26 Mar 2024 • Toyin Aguda, Suchetha Siddagangappa, Elena Kochkina, Simerjot Kaur, Dongsheng Wang, Charese Smiley, Sameena Shah
Collecting labeled datasets in finance is challenging due to scarcity of domain experts and higher cost of employing them.
no code implementations • 22 May 2023 • Simerjot Kaur, Charese Smiley, Akshat Gupta, Joy Sain, Dongsheng Wang, Suchetha Siddagangappa, Toyin Aguda, Sameena Shah
A number of datasets for Relation Extraction (RE) have been created to aide downstream tasks such as information retrieval, semantic search, question answering and textual entailment.
no code implementations • 31 Oct 2022 • Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, Diyi Yang
To this end, we contribute the Financial Language Understanding Evaluation (FLUE), an open-source comprehensive suite of benchmarks for the financial domain.
1 code implementation • 7 Oct 2022 • Zhiyu Chen, Shiyang Li, Charese Smiley, Zhiqiang Ma, Sameena Shah, William Yang Wang
With the recent advance in large pre-trained language models, researchers have achieved record performances in NLP tasks that mostly focus on language pattern matching.
Ranked #2 on Question Answering on ConvFinQA
1 code implementation • EMNLP 2021 • Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, Reema Moussa, Matt Beane, Ting-Hao Huang, Bryan Routledge, William Yang Wang
In contrast to existing tasks on general domain, the finance domain includes complex numerical reasoning and understanding of heterogeneous representations.
Ranked #4 on Question Answering on FinQA
no code implementations • WS 2018 • Charese Smiley, Elnaz Davoodi, Dezhao Song, Frank Schilder
This paper presents the two systems we entered into the 2017 E2E NLG Challenge: TemplGen, a templated-based system and SeqGen, a neural network-based system.
no code implementations • WS 2017 • Charese Smiley, S K{\"u}bler, ra
In this paper, we discuss the results of the IUCL system in the NLI Shared Task 2017.
no code implementations • WS 2017 • Charese Smiley, Frank Schilder, Vassilis Plachouras, Jochen L. Leidner
We discuss the ethical implications of Natural Language Generation systems.