Annotating the semantics of time in language is important. THYME (Styler et al., 2014) is a recent temporal annotation standard for clinical texts. This paper examines temporal expressions in the first major corpus released under this standard. It investigates where the standard has proven difficult to apply, and gives a series of recommendations regarding temporal annotation in this important ...

This paper discusses the translation of temporal expressions, in the framework of the machine translation system Rosetta. The translation method of Rosetta, the "isomorphic grammar method', is based on Montague's Compositionality Principle. It is shown that a compositional approach leads to a transparent account of the complex aspects of time in natural language and can be used for the translat...

We describe the TEMANTEX annotation scheme for temporal expressions and other lexical indicators of temporality and we analyze a first annotation experience. TEMANTEX is mainly a revision of the markup language TIMEX3, but with some additions and a different treatment for relative expressions. Our alternative proposal is justified for two reasons. First, our system aims to cover other temporali...

This paper presents the annotation guidelines and specifications which have been developed for the creation of the Italian TimeBank, a language resource composed of two corpora manually annotated with temporal and event information. In particular, the adaptation of the TimeML scheme to Italian is described, and a special attention is given to the methodology used for the realization of the anno...

In this paper, we describe our participation in the TempEval-3 challenge. With our multilingual temporal tagger HeidelTime, we addressed task A, the extraction and normalization of temporal expressions for English and Spanish. Exploiting HeidelTime’s strict separation between source code and languagedependent parts, we tuned HeidelTime’s existing English resources and developed new Spanish reso...

The NTCIR-9 GeoTime task is to retrieve documents to answer such questions as when and where certain events happened. In this paper we propose a Passage-Based Learning to Rank (PGLR) method to address this task. The proposed method recognizes texts both strongly related to the target topics and containing geographic and temporal expressions. The implemented system provides more accurate search ...

The proliferation of fake news and filter bubbles makes it increasingly difficult to form an unbiased, balanced opinion towards a topic. To ameliorate this, we propose 360° Stance Detection, a tool that aggregates news with multiple perspectives on a topic. It presents them on a spectrum ranging from support to opposition, enabling the user to base their opinion on multiple pieces of diverse ev...

While humans possess a ready capacity to view a target (biological or otherwise) as an intentional agent (i.e. the 'intentional stance'), the conditions necessary for spontaneously eliciting these mentalizing processes are less well understood. Although research examining people's tendency to construe the motion of geometric shapes as intentional has done much to illuminate this issue, due to m...