Adam Jatowt

A Survey on Multi-modal Summarization

2023 · ACM Computing Surveys

The new era of technology has brought us to the point where it is convenient for people to share their opinions over an abundance of platforms. These platforms have a provision for the users to …

Diachronic Analysis of Time References in News Articles

2022 · Companion Proceedings of the Web Conference 2022

Time expressions embedded in text are important for many downstream tasks in NLP and IR. They have been, for example, utilized for timeline summarization, named entity recognition, temporal information retrieval, question answering and others. In …

Focus-aware Response Generation in Inquiry Conversation

2023

Inquiry conversation is a common form of conversation that aims to complete the investigation (e.g., court hearing, medical consultation and police interrogation) during which a series of focus shifts occurs. While many models have been …

Evaluating List Construction and Temporal Understanding capabilities of Large Language Models

2025 · arXiv (Cornell University)

Large Language Models (LLMs) have demonstrated immense advances in a wide range of natural language tasks. However, these models are susceptible to hallucinations and errors on particularly temporal understanding tasks involving multiple entities in answers. …

YAKE! Keyword extraction from single documents using multiple local features

2019 · Information Sciences

As the amount of generated information grows, reading and summarizing texts of large collections turns into a challenging task. Many documents do not come with descriptive terms, thus requiring humans to generate keywords on-the-fly. The …