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Found 8 papers, 3 papers with code
Multilingual Financial Documentation Summarization by Team_Tredence for FNS2022
An mT5 model was fine-tuned to identify potential narrative sections for Greek and Spanish, followed by finetuning mT5 and T5(Spanish version) for abstractive summarization task.
Learning Semantic Text Similarity to rank Hypernyms of Financial Terms
Every industry has terms that are specific to the domain it operates in.
Delivery Issues Identification from Customer Feedback Data
Compared with the existing process, the ensemble of text and image models proposed in this paper ensures the identification of several types of delivery issues, which is more suitable for the real-life scenarios of delivery of items in retail businesses.
Using Natural Language Processing to Understand Reasons and Motivators Behind Customer Calls in Financial Domain
In this era of abundant digital information, customer satisfaction has become one of the prominent factors in the success of any business.
Data Driven Content Creation using Statistical and Natural Language Processing Techniques for Financial Domain
Typically, customers try to get their questions answered by low-touch channels like search and virtual assistant first, before getting in touch with a live chat agent or the phone representative.
Term Expansion and FinBERT fine-tuning for Hypernym and Synonym Ranking of Financial Terms
We observed that term expansion using data augmentation in conjunction with semantic similarity is beneficial for this task and could be useful for the other tasks that deal with short phrases.
Using Transformer based Ensemble Learning to classify Scientific Articles
The first one is a RoBERTa [10] based model built over these abstracts.
Applying Transfer Learning for Improving Domain-Specific Search Experience Using Query to Question Similarity
We have used it for the financial domain, but the framework is generalized for any domain-specific search engine and can be used in other domains as well.
