Zobrazeno 1 - 10
of 4 092
pro vyhledávání: '"Shah Agam"'
U.S. congressional hearings significantly influence the national economy and social fabric, impacting individual lives. Despite their importance, there is a lack of comprehensive datasets for analyzing these discourses. To address this, we propose th
Externí odkaz:
http://arxiv.org/abs/2410.03099
The BERTScore metric is commonly used to evaluate automatic text simplification systems. However, current implementations of the metric fail to provide complete visibility into all information the metric can produce. Notably, the specific token match
Externí odkaz:
http://arxiv.org/abs/2409.17160
The ARR Responsible NLP Research checklist website states that the "checklist is designed to encourage best practices for responsible research, addressing issues of research ethics, societal impact and reproducibility." Answering the questions is an
Externí odkaz:
http://arxiv.org/abs/2408.04675
Autor:
Shah, Agam, Hiray, Arnav, Shah, Pratvi, Banerjee, Arkaprabha, Singh, Anushka, Eidnani, Dheeraj, Chava, Sahasra, Chaudhury, Bhaskar, Chava, Sudheer
In this paper, we investigate the influence of claims in analyst reports and earnings calls on financial market returns, considering them as significant quarterly events for publicly traded companies. To facilitate a comprehensive analysis, we constr
Externí odkaz:
http://arxiv.org/abs/2402.11728
Over the last decade, the cryptocurrency market has experienced unprecedented growth, emerging as a prominent financial market. As this market rapidly evolves, it necessitates re-evaluating which cryptocurrencies command the market and steer the dire
Externí odkaz:
http://arxiv.org/abs/2307.16874
Autor:
Shah, Agam, Chava, Sudheer
Recently large language models (LLMs) like ChatGPT have shown impressive performance on many natural language processing tasks with zero-shot. In this paper, we investigate the effectiveness of zero-shot LLMs in the financial domain. We compare the p
Externí odkaz:
http://arxiv.org/abs/2305.16633
The Non-Fungible-Token (NFT) market has experienced explosive growth in recent years. According to DappRadar, the total transaction volume on OpenSea, the largest NFT marketplace, reached 34.7 billion dollars in February 2023. However, the NFT market
Externí odkaz:
http://arxiv.org/abs/2306.04643
Monetary policy pronouncements by Federal Open Market Committee (FOMC) are a major driver of financial market returns. We construct the largest tokenized and annotated dataset of FOMC speeches, meeting minutes, and press conference transcripts in ord
Externí odkaz:
http://arxiv.org/abs/2305.07972
Non-Fungible Tokens (NFTs) are a type of digital asset that represents a proof of ownership over a particular digital item such as art, music, or real estate. Due to the non-fungible nature of NFTs, duplicate tokens should not possess the same value.
Externí odkaz:
http://arxiv.org/abs/2303.12998
Over the last two decades, the development of the CoNLL-2003 named entity recognition (NER) dataset has helped enhance the capabilities of deep learning and natural language processing (NLP). The finance domain, characterized by its unique semantic a
Externí odkaz:
http://arxiv.org/abs/2302.11157