05151 Summary - Annotating, Extracting and Reasoning about Time and Events (original) (raw)
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Annotating and Reasoning About Time and Events
Proceedings of AAAI Spring Symposium on …, 2003
In this paper we discuss the relationship between TimeML, a rich specification language for event and temporal expressions in text, and the interpretation of these expressions in a temporal semantics. Specifically, we propose to demonstrate how a TimeML markup of text is ...
GL2007: Fourth International Workshop …, 2007
This work reports on the use of a powerful Generative Lexicon-based resource like PAROLE/SIMPLE/CLIPS as a source of information of event recognition and temporal and eventbased reasoning in the perspective of a temporal processing of text/discourse and in the view of O.D.-Q.A applications. The starting point is represented by TimeML 1 , a language specifically designed for the annotation of events, temporal expressions and their ordering. The idea of this work is to present a mapping between TimeML event classes and the SIMPLE Ontology in order to improve both event detection and event classification. Moreover, the use of the ontology will associate to the annotated items a layer of semantic information, including information about the lexical aspect, or Aktionsaart, the semantic type of the event, its argument structure with the semantic typing of the arguments, together with semantic relations.
05151 Abstracts Collection - Annotating, Extracting and Reasoning about Time and Events
2005
From 10.04.05 to 15.04.05, the Dagstuhl Seminar 05151 Annotating, Extracting and Reasoning about Time and Events was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The rst section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Annotating temporal and event quantification
In this paper we propose someimprovements to the proposed ISO-TimeML standard for the semantic annotation of information about time and events. We argue that these improvements are called for, either in order to deal with suboptimal choices in the XML-based representation of annotation structures, or for resolving some of the difficulties that arise due to the impossibility to separate semantic phenomena relating to time and events, like temporal quantification, from their more general form. We indicate solutions for both types of cases.
Event Time Relationship in Natural Language Text
International Journal of Recent Contributions from Engineering, Science & IT (iJES), 2019
Due to the numerous information needs, retrieval of events from a given natural language text is inevitable. In natural language processing (NLP) perspective, "Events" are situations, occurrences, real-world entities or facts. Extraction of events and arranging them on a timeline is helpful in various NLP application like building the summary of news articles, processing health records, and Question Answering System (QA) systems. This paper presents a framework for identifying the events and times from a given document and representing them using a graph data structure. As a result, a graph is derived to show event-time relationships in the given text. Events form the nodes in a graph, and edges represent the temporal relations among the nodes. Time of an event occurrence exists in two forms namely qualitative (like before, after, duringetc) and quantitative (exact time points/periods). To build the event-time-event structure quantitative time is normalized to qualitative...
Guidelines for annotating temporal information
2001
This paper introduces a set of guidelines for annotating time expressions with a canonicalized representation of the times they refer to. Applications that can benefit from such an annotated corpus include information extraction (eg, normalizing temporal references for database entry), question answering (answering" when" questions), summarization (temporally ordering information), machine translation (translating and normalizing temporal references), and information visualization (viewing event ...
TimeML: Robust Specification of Event and Temporal Expressions in Text
2003
In this paper we provide a description of TimeML, a rich specification language for event and temporal expressions in natural language text, developed in the context of the AQUAINT program on Question Answering Systems. Unlike most previous work on event annotation, TimeML captures three distinct phenomena in temporal markup: (1) it systematically anchors event predicates to a broad range of temporally denotating expressions; (2) it orders event expressions in text relative to one another, both intrasententially and in discourse; and (3) it allows for a delayed (underspecified) interpretation of partially determined temporal expressions. We demonstrate the expressiveness of TimeML for a broad range of syntactic and semantic contexts, including aspectual predication, modal subordination, and an initial treatment of lexical and constructional causation in text.