This paper presents how an existing temporal processor was adapted to be used by the English Question Answering system developed part of the EU-funded project QALL-ME. Experiments applying the existing temporal processor to questions from the domain of tourism revealed that the existing temporal processor tackles far too many temporal expressions, and this makes it slower than necessary. In lig...

This paper presents a system for recognition and normalization of temporal expressions (TEs) in Serbian texts according to the TimeML specification language. Based on a finite-state transducers methodology, local grammars are designed to recognize calendar dates, times of day, periods of time and durations, to determine the extension of detected expressions, as well as to normalize their values...

In this paper, a method of event ordering based on temporal information resolution is presented. This method consists of two main steps: on the one hand, the recognition and resolution of the temporal expressions that can be transformed on a date, and therefore these dates establish an order between the events that contain them. On the other hand, the detection of temporal signals, for example ...

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...