Search Results for author: Charese Smiley

Found 10 papers, 2 papers with code

The E2E NLG Challenge: A Tale of Two Systems

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.

Text Generation Vocal Bursts Valence Prediction

FinQA: A Dataset of Numerical Reasoning over Financial Data

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.

Question Answering

ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering

1 code implementation7 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.

Conversational Question Answering

WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain

no code implementations31 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.

FLUE Language Modelling

REFinD: Relation Extraction Financial Dataset

no code implementations22 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.

General Knowledge Information Retrieval +5

Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency

no code implementations26 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.

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