Keyphrase Extraction (KE) is a critical component in Natural Language Processing (NLP)
systems for selecting a set of phrases from the document that could summarize the important …

Transformer models have advanced the state of the art in many Natural Language
Processing (NLP) tasks. In this paper, we present a new Transformer architecture, Extended …

Keyphrase prediction aims to generate phrases (keyphrases) that highly summarizes a
given document. Recently, researchers have conducted in-depth studies on this task from …

This paper describes a machine learning algorithm for document (re) ranking, in which
queries and documents are firstly encoded using BERT [1], and on top of that a learning-to …

Stance detection aims to detect the stance toward a corresponding target. Existing works
use the assumption that the target is known in advance, which is often not the case in the …

Transformers are not suited for processing long documents, due to their quadratically
increasing memory and time consumption. Simply truncating a long document or applying …

ClueWeb22, the newest iteration of the ClueWeb line of datasets, is the result of more than a
year of collaboration between industry and academia. Its design is influenced by the …

The keyphrases of a document are the textual units that characterize its content such as the
topics it addresses, its ideas, their field, etc. Thousands of books, articles and web pages are …

The emergence of ChatGPT has recently garnered significant attention from the
computational linguistics community. To demonstrate its capabilities as a keyphrase …

Document types, where visual and textual information plays an important role in their
analysis and understanding, pose a new and attractive area for information extraction …