We describe the TempEval-2 task which is currently in preparation for the SemEval-2010 evaluation exercise. This task involves identifying the temporal relations between events and temporal expressions in text. Six distinct subtasks are defined, ranging from identifying temporal and event expressions, to anchoring events to temporal expressions, and ordering events relative to each other.

We investigate how neural networks can learn and process languages with hierarchical, compositional semantics. To this end, we define the artificial task of processing nested arithmetic expressions, and study whether different types of neural networks can learn to compute their meaning. We find that recursive neural networks can implement a generalising solution to this problem, and we visualis...

In this project, we seek to use computational models to infer mathematical structure from purely symbolic inputs. Though there are existing systems for parsing mathematical expressions, there have been only limited approaches to apply learning-based algorithms to this inherently subtle task. This project therefore proposes an integrated methodology that applies various configurations of neural ...

This paper reports research on Spanish temporal expressions. The analyzed phrases include a common temporal expression for a period of years reinforced by an adverb of time. We found that some of those phrases are agerelated expressions. We analyzed a sample obtained from the Internet to determine the local context where the age-related meaning is unmistakable. We present the results for 21 sel...

Facial expressions can be considered as a means of communication by non-verbal signals. They are essential part of human relations. Automatic facial expressions recognition can be imperative for natural human-machine interaction. Automatic facial expressions recognition can be utilized in the field of behavioral science and in the health care department. Although humans perceive the facial expr...

One of the most important features of health care is to be able to follow a patient’s progress over time and identify events in a temporal order. We describe initial steps in creating resources for automatic temporal reasoning of Swedish medical text. As a first step, we focus on the identification of temporal expressions by exploiting existing resources and systems available for English. We ad...

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.

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...