Most of the recent work on machine learning-based temporal relation classification has been done by considering only a given pair of temporal entities (events or temporal expressions) at a time. Entities that have temporal connections to the pair of temporal entities under inspection are not considered even though they provide valuable clues to the prediction. In this paper, we present a new ap...

In this paper we adopt a constraint-based representation of time, Time Calculus (TC), for anchoring temporal expressions in a novel genre, emails. Email is sufficiently different from most studied genres newswire texts, and its highly under-specified nature fits well with our representation. The evaluation of our anchoring system shows that it performs significantly better than the baseline, an...

We present work on tuning the Heideltime system for identifying time expressions in clinical texts in English and French languages. The main amount of the method is related to the enrichment and adaptation of linguistic resources to identify Timex3 clinical expressions and to normalize them. The test of the adapted versions have been done on the i2b2/VA 2012 corpus for English and a collection ...

This work proposes the integration of a temporal expressions recognition, resolution and normalization system into a question answering system for Spanish. Both question analysis and answer extraction stages have been adapted to the new capabilities for temporal detection and inference of the system. It has been evaluated by means of a corpus composed of questions that has been originally devel...

This report describes a minimalistic set of methods engineered to anchor clinical events onto a temporal space. Specifically, we describe methods to extract clinical events (e.g., Problems, Treatments and Tests), temporal expressions (i.e., time, date, duration, and frequency), and temporal links (e.g., Before, After, Overlap) between events and temporal entities. These methods are developed an...

Nowadays, the temporal aspects of natural language are receiving a great research interest. TimeML has been adopted as a standard for temporal information annotation by a large number of researchers. Available TimeML resources are very limited in size and in diversity of languages. This paper analyzes a combination of semantic roles and semantic networks information for improving this situation...

We present and demonstrate the updated version of the TARSQI Toolkit, a suite of temporal processing modules that extract temporal information from natural language texts. It parses the document and identifies temporal expressions, recognizes events, anchor events to temporal expressions and orders events relative to each other. The toolkit was previously demonstrated at COLING 2008, but has si...

We present an approach for detecting salient (important) dates in texts in order to automatically build event timelines from a search query (e.g. the name of an event or person, etc.). This work was carried out on a corpus of newswire texts in English provided by the Agence France Presse (AFP). In order to extract salient dates that warrant inclusion in an event timeline, we first recognize and...

the power of media lies in its persuasive function, which gives media a potential to maneuver on the mind of audience (van dijk 1996). this potential is realized via different linguistic resources, one important group of which is metadiscoursal resources. the major aim of this study was to explore how and in what distribution these resources are employed by writers with different cultural backg...

Ladyman, Lipton, and Teller on The Empirical Stance Bas C. van Fraassen I. What is a stance? 1. The argument 2 What is a stance, in general? A. "Stance" and non-philosophical stances B. Role and unity of a stance 3. What is a philosophical stance? 4. What is an empiricist stance? II. Metaphysics III. Voluntarism A. Ladyman's challenge: counterinductive strategies B. The challenge concerning tol...