This review paper offers an in-depth analysis of AI-powered virtual conversational agents,
specifically focusing on OpenAI's ChatGPT. The main contributions of this paper are …

This paper presents a complete workflow designed for extracting information from Quebec
handwritten parish registers. The acts in these documents contain individual and family …

We explore the possibility of improving probabilistic models in structured prediction.
Specifically, we combine the models with constrained decoding approaches in the context of …

Abstract Research in Document Intelligence and especially in Document Key Information
Extraction (DocKIE) has been mainly solved as Token Classification problem. Recent …

Industrial projects rely heavily on lengthy, complex specification documents, making tedious
manual extraction of structured information a major bottleneck. This paper introduces an …

We explore the possibility of improving probabilistic models in structured prediction.
Specifically, we combine the models with constrained decoding approaches in the context of …

Both large and medium-sized companies are concerned with maintaining good procurement
relationships with their preferred suppliers and engaging previously unknown ones. To this …

Nowadays, many people around the world express their feelings and opinions on the web.
The volume of user-generated content is rapidly increasing day by day, resulting in the …