Extraction of events and understanding related temporal expression among them is a major challenge in natural language processing. In longer texts, processing on sentenceby-sentence or expression-by-expression basis often fails, in part due to the disregard for the consistency of the processed data. We present an ensemble method, which reconciles the output of multiple classifiers for temporal ...

This paper considers five features including titles, community chains, terms, temporal expressions, and hostnames for personal name disambiguation. In nine test data sets covering three ambiguous personal names, we address the issues of awareness degree of an entity, the source of materials and web pages in different areas. In a single-clusterer approach, employing all features achieve average ...

This paper describes the latest developments in the design of a tool to monitor Patient Discharge Summaries to detected pieces of evidences related to Hospital Acquired Infections. Anonymization, Named Entity detection, Temporal Expressions analysis and Causality detection methods have been developed and evaluated. They are embedded in a tool designed to work in a Hospital Information

The abundance of temporal information in documents has lead to an increased interest in processing such information in the NLP community by considering temporal expressions. Besides domainadaptation, acquiring knowledge on variation of temporal expressions according to time is relevant for improvement in automatic processing. So far, frequency-based accounts dominate in the investigation of spe...

One aspect of implicit, contextual information is its temporal component. Explicating this component in a formal model makes it possible to disambiguate some context-dependent expressions and discover connections between expressions. We have implemented and extended Allen’s algebra of temporal intervals in a reasoner that takes into account the linear nature of time and the granularity of tempo...

Temporality is crucial in understanding the course of clinical events from a patient’s electronic health records and temporal processing is becoming more and more important for improving access to content. SemEval 2017 Task 12 (Clinical TempEval) addressed this challenge using the THYME corpus, a corpus of clinical narratives annotated with a schema based on TimeML2 guidelines. We developed and...

The harnessing of time-related information from text for the use of information retrieval requires a leap from the surface forms of the expressions to a formalized time-axis. Often the expressions are used to form chronological sequences of events. However, we want to be able to determine the temporal similarity, i.e., the overlap of temporal references of two documents and use this similarity ...

Complex temporal expressions are widely used in daily life. A calendars is one of the important examples for this kind of expressions. In this paper, we study the query language on general calendars. A set of operators for calendar algebra is formed. Several formulas are put forward for the purpose of query optimization. Other properties including monotonicity, closure and uniqueness of operato...

This paper presents a system based on Finite State Technology that recognises and classifies numerical entities in texts written in Basque. The system deals with a wide range of entities, such as temporal expressions, numbers related to units of measurement, or those that refer to common nouns. The system obtains 86.96% F-measure score following MUC evaluation and 78.82% using IREX and CONLL si...