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Abstract

We are in 2013, and multiword expressions have been around for a while in the computational linguistics research community. Since the first ACL workshop on MWEs 12 years ago in Sapporo, Japan, much has been discussed, proposed, experimented, evaluated and argued about MWEs. And yet, they deserve the publication of a whole special issue of the ACM Transactions on Speech and Language Processing. But what is it about multiword expressions that keeps them in fashion? Who are the people and the institutions who perform and publish groundbreaking fundamental and applied research in this field? What is the place and the relevance of our lively research community in the bigger picture of computational linguistics? Where do we come from as a community, and most importantly, where are we heading? In this introductory article, we share our point of view about the answers to these questions and introduce the articles that compose the current special issue.

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Abstract

Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form. The ongoing information explosion makes IE and TS critical for successful functioning within the information society. These technologies face particular challenges due to the inherent multi-source nature of the information explosion. The technologies must now handle not isolated texts or individual narratives, but rather large-scale repositories and streams---in general, in multiple languages---containing a multiplicity of perspectives, opinions, or commentaries on particular topics, entities or events. There is thus a need to adapt existing techniques and develop new ones to deal with these challenges. This volume contains a selection of papers that present a variety of methodologies for content identification and extraction, as well as for content fusion and regeneration. The chapters cover various aspects of the challenges, depending on the nature of the information sought---names vs. events,--- and the nature of the sources---news streams vs. image captions vs. scientific research papers, etc. This volume aims to offer a broad and representative sample of studies from this very active research field.