This paper presents a tool for extracting and normalizing temporal expressions in SMS messages in order to automatically fill in an electronic calendar. The extraction process is based on a library of finite-state transducers that identify temporal structures and annotate the components needed for the time normalization task. An initial evaluation puts recall at 0.659 and precision at 0.795.

politicians adopt a variety of linguistic strategies in their speeches to connect with their audience. to name one, appraisal, as a system of interpersonal meaning, is concerned with evaluation where resources are used for negotiating social relationships. despite their significance in shaping texts, there have hardly been any extensive inventories of appraisal tools contrasting electoral speec...

Fact checking is an essential challenge when combating fake news. Identifying documents that agree or disagree with a particular statement (claim) core task in this process. In context, stance detection aims at identifying the position (stance) of document towards claim. Most approaches address through classification models do not consider highly imbalanced class distribution. Therefore, they a...

Temporal expressions—references to points in time or periods of time—are widespread in text, and their proper interpretation is essential for any natural language processing task that requires the extraction of temporal information. Work on the interpretation of temporal expressions in text has generally been pursued in one of two paradigms: the formal semantics approach, where an attempt is ma...

In this report, we present an account of the semantics of the English temporal prepositions. The approach taken here stresses the limited range of expressive possibilities afforded by these words, and pays particular attention to the irregular interactions they exhibit with verb-tense and -aspect. A framework is developed within which the semantics of English temporal expressions can be couched...

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 ...