Due to the exponential growth of textual data and web sources, an automatic mechanism is
required to identify relevant information embedded within them. The utility of Automatic …

This paper describes the organization and results of the automatic keyphrase extraction task
held at the Workshop on Semantic Evaluation 2010 (SemEval-2010). The keyphrase …

Recent years have seen increased interest in text summarization with emphasis on
evaluation of prototype systems. Many factors can affect the design of such evaluations …

This paper addresses the issue of automatically extracting keyphrases from a document.
Previously, this problem was formalized as classification and learning methods for …

Keyphrases are useful for a variety of tasks in information retrieval systems and natural
language processing, such as text summarization, automatic indexing, clustering …

Topic indexing is the task of identifying the main topics covered by a document. These are
useful for many purposes: as subject headings in libraries, as keywords in academic …

Multi-Sentence Compression (MSC) is the task of generating a short single sentence
summary from a cluster of related sentences. This paper presents an N-best reranking …

We tackle two major issues in automatic keyphrase extraction using scientific articles:
candidate selection and feature engineering. To develop an efficient candidate selection …

We propose a new evaluation strategy for keyphrase extraction based on approximate
keyphrase matching. It corresponds well with human judgments and is better suited to …

Automatic keyphrase labelling stands for the ability of models to retrieve words or short
phrases that adequately describe documents' content. Previous work has put much effort …