This paper describes the outcomes of the TimeLine task (Cross-Document Event Ordering), that was organised within the Time and Space track of SemEval-2015. Given a set of documents and a set of target entities, the task consisted of building a timeline for each entity, by detecting, anchoring in time and ordering the events involving that entity. The TimeLine task goes a step further than previous evaluation challenges by requiring participant systems to perform both event coreference and temporal relation extraction across documents. Four teams submitted the output of their systems to the four proposed subtracks for a total of 13 runs, the best of which obtained an F1-score of 7.85 in the main track (timeline creation from raw text)
This paper proposes a new task of cross-document event extraction and tracking and its evaluation me...
Timeline summarization aims at presenting long news stories in a compact manner. State-of-the-art ap...
Timeline summarization methods analyze timestamped, topic-specific news article collections to selec...
This paper describes the outcomes of the TimeLine task (Cross-Document Event Order-ing), that was or...
In this paper, we give an overview of our participation in the timeline generation task of SemEval-2...
In this paper we present a system that automatically builds ordered timelines of events from differe...
This paper investigates the contribution of document level processing of time-anchors for TimeLine e...
This paper focuses on the contribution of temporal relations inference and distributional semantic m...
Building unified timelines from a collection of written news articles requires cross-document event ...
In this paper a multilingual method for event ordering based on temporal expression resolution is pr...
This paper describes the system SPINOZA VU developed for the SemEval 2015 Task 4: Cross Document Tim...
Preprint submitted to Elsevier Science, 14th February 2005In this paper, a method of event ordering ...
Internet or Web consists of a massive amount of information, handling which is a tedious task. Summa...
Abstract. Temporal information extraction is an interesting research area in Natural Language Proces...
In this paper a multilingual method for event ordering based on temporal expression resolu-tion is p...
This paper proposes a new task of cross-document event extraction and tracking and its evaluation me...
Timeline summarization aims at presenting long news stories in a compact manner. State-of-the-art ap...
Timeline summarization methods analyze timestamped, topic-specific news article collections to selec...
This paper describes the outcomes of the TimeLine task (Cross-Document Event Order-ing), that was or...
In this paper, we give an overview of our participation in the timeline generation task of SemEval-2...
In this paper we present a system that automatically builds ordered timelines of events from differe...
This paper investigates the contribution of document level processing of time-anchors for TimeLine e...
This paper focuses on the contribution of temporal relations inference and distributional semantic m...
Building unified timelines from a collection of written news articles requires cross-document event ...
In this paper a multilingual method for event ordering based on temporal expression resolution is pr...
This paper describes the system SPINOZA VU developed for the SemEval 2015 Task 4: Cross Document Tim...
Preprint submitted to Elsevier Science, 14th February 2005In this paper, a method of event ordering ...
Internet or Web consists of a massive amount of information, handling which is a tedious task. Summa...
Abstract. Temporal information extraction is an interesting research area in Natural Language Proces...
In this paper a multilingual method for event ordering based on temporal expression resolu-tion is p...
This paper proposes a new task of cross-document event extraction and tracking and its evaluation me...
Timeline summarization aims at presenting long news stories in a compact manner. State-of-the-art ap...
Timeline summarization methods analyze timestamped, topic-specific news article collections to selec...