Abstract Recently, Large Language Models (LLMs) have demonstrated impressive
capability to solve a wide range of tasks. However, despite their success across various …

This paper studies how to effectively build meeting summarization systems for real-world
usage using large language models (LLMs). For this purpose, we conduct an extensive …

ChatGPT is a large language model developed by OpenAI. Despite its impressive
performance across various tasks, no prior work has investigated its capability in the …

Automatic chart to text summarization is an effective tool for the visually impaired people
along with providing precise insights of tabular data in natural language to the user. A large …

Debatepedia is a publicly available dataset consisting of arguments and counter-arguments
on controversial topics that has been widely used for the single-document query-focused …

An entity linking system links named entities in a text to their corresponding entries in a
knowledge base. In recent years, building an entity linking system that leverages the …

Entity linking (EL), the task of automatically matching mentions in text to concepts in a target
knowledge base, remains under-explored when it comes to the food domain, despite its …

Entity-level sentiment analysis predicts the sentiment about entities mentioned in a given
text. It is very useful in a business context to understand user emotions towards certain …

In recent years, Large Language Models (LLMs) have gained immense attention due to their
notable emergent capabilities, surpassing those seen in earlier language models. A …

Building conversational agents that can have natural and knowledge-grounded interactions
with humans requires understanding user utterances. Entity Linking (EL) is an effective …