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Using Syntactic Dependencies and WordNet Classes for Noun Event Recognition
2012
International Semantic Web Conference
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The goal of this research is to devise a method for recognizing TimeML noun events in a more effective way. ...
Our analysis of the results demonstrates that the dependencies of direct object and the deep-level WordNet hypernyms play pivotal roles for recognizing noun events. ...
Acknowledgment This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2011-0027292 ...
dblp:conf/semweb/JeongM12
fatcat:wpj6zelwsngijdqha5552iz76m
TimeML-Compliant Text Analysis for Temporal Reasoning
2005
International Joint Conference on Artificial Intelligence
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learning component capable of effectively using large amounts of unannotated data. ...
We address this problem with a hybrid TimeML annotator, which uses cascaded finite-state grammars (for temporal expression analysis, shallow syntactic parsing, and feature generation) together with a machine ...
This is also the first use of a TimeML corpus as reference data for implementing temporal analysis. ...
dblp:conf/ijcai/BoguraevA05
fatcat:rjcfavayhbfjzfmzmmycuaa26q
Using WordNet Hypernyms and Dependency Features for Phrasal-Level Event Recognition and Type Classification
[chapter]
2013
Lecture Notes in Computer Science
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The goal of this research is to devise a method for recognizing and classifying TimeML events in a more effective way. ...
TimeML is the most recent annotation scheme for processing the event and temporal expressions in natural language processing fields. ...
This research was supported by Basic Science Research Program through the Na-tional Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2011-0027292). ...
doi:10.1007/978-3-642-36973-5_23
fatcat:pfprhytpx5ddbir67uw2ynekva
Using Signals to Improve Automatic Classification of Temporal Relations
[article]
2012
arXiv
pre-print
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In this paper, we use these signal words to improve the accuracy of a recent approach to classification of temporal links. ...
Temporal information conveyed by language describes how the world around us changes through time. Events, durations and times are all temporal elements that can be viewed as intervals. ...
The two largest resources of TimeML annotated text are TimeBank [13] and the AQUAINT TimeML corpus 1 , which we merge to form a corpus for this work. ...
arXiv:1203.5055v1
fatcat:mxf65zxvgfgalmzmuwvogyolae
French TimeBank: An ISO-TimeML Annotated Reference Corpus
2011
Annual Meeting of the Association for Computational Linguistics
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This article presents the main points in the creation of the French TimeBank (Bittar, 2010), a reference corpus annotated according to the ISO-TimeML standard for temporal annotation. ...
A preliminary evaluation of the methodology adopted for this project yields positive results in terms of data quality and annotation time. ...
Here we present the French TimeBank (FTiB), a corpus for French annotated in ISO-TimeML. ...
dblp:conf/acl/BittarADD11
fatcat:fgyi3bsjlfdd5mb74xi6yeo5gq
BCCWJ-TimeBank: Temporal and Event Information Annotation on Japanese Text
2013
Pacific Asia Conference on Language, Information and Computation
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This paper describes a time expression and temporal ordering annotation schema for Japanese, employing the Balanced Corpus of Contemporary Written Japanese, or BCCWJ. ...
The annotation is aimed at allowing the development of better Japanese temporal ordering relation resolution tools. The annotation schema is based on an ISO annotation standard -TimeML. ...
We also consider the annotation environment of BCCWJ-TimeBank.
⟨TIMEX3⟩ We use XML Editor oXygen 3 for ⟨TIMEX3⟩ annotation. We define DTD for BCCWJ-TimeBank. ...
dblp:conf/paclic/AsaharaYKIM13
fatcat:7fmkrpwssvgftc4oryah7av5vq
Massively Increasing TIMEX3 Resources: A Transduction Approach
[article]
2012
arXiv
pre-print
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Using this, we evaluate our conversion process by using it as training data for an existing TimeML annotation tool, achieving a 0.87 F1 measure -- better than any system in the TempEval-2 timex recognition ...
Automatic annotation of temporal expressions is a research challenge of great interest in the field of information extraction. ...
Acknowledgments The authors would like to thank Lisa Ferro of the MITRE Corporation for kind help with corralling TIMEX2 resources. ...
arXiv:1203.5076v1
fatcat:z6i6hbonrfdx7oqqa3souz2xje
KTimeML: Specification of Temporal and Event Expressions in Korean Text
2009
Workshop on Asian Language Resources
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TimeML, TimeBank, and TTK (TARSQI Project) have been playing an important role in enhancement of IE, QA, and other NLP applications. ...
TimeML is a specification language for events and temporal expressions in text. This paper presents the problems and solutions for porting TimeML to Korean as a part of the Korean TARSQI Project. ...
Aknowledgements The authors wish to thank Kiyong Lee (ISO-TimeML) and James Pustejovsky, a director of the TARSQI Project, for their help for the specification of KTimeML. ...
dblp:conf/acl-alr/ImYJNS09
fatcat:lait6m6v4fe5pk7ggcyv7pt4dy
An Analysis of Causality between Events and its Relation to Temporal Information
2014
International Conference on Computational Linguistics
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This data set is then used to build an automatic extraction system for causal signals and causal links between given event pairs. ...
The evaluation and analysis of the system's performance provides an insight into explicit causality in text and the connection between temporal and causal relations. ...
We also thank Rachele Sprugnoli and Manuela Speranza for their contribution in defining the annotation guidelines. ...
dblp:conf/coling/MirzaT14
fatcat:l5g33elqu5grli35jzmm2nrskq
Extracting Temporal and Causal Relations between Events
[article]
2016
arXiv
pre-print
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Structured information resulting from temporal information processing is crucial for a variety of natural language processing tasks, for instance to generate timeline summarization of events from news ...
We first develop a robust extraction component for each type of relations, i.e. temporal order and causality. ...
We also investigate the effects of using each type of relations as features for the supervised classifiers used to extract temporal and causal relations. ...
arXiv:1604.08120v1
fatcat:fmd7z6hwyjhgphbrnc3mgpifde
CATENA: CAusal and TEmporal relation extraction from NAtural language texts
2016
International Conference on Computational Linguistics
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We evaluate the performance of each sieve, showing that the rule-based, the machinelearned and the reasoning components all contribute to achieving state-of-the-art performance on TempEval-3 and TimeBank-Dense ...
The effects of the interaction between the temporal and the causal components, although limited, yield promising results and confirm the tight connection between the temporal and the causal dimension of ...
For TimeBank-Dense evaluation, the test set is a subset of TimeBank, so we exclude the 9 test documents from Causal-TimeBank during training. ...
dblp:conf/coling/MirzaT16
fatcat:qxlrgypnr5d7hazgy6ykakqmba
Task-Oriented Extraction of Temporal Information: The Case of Clinical Narratives
2006
Thirteenth International Symposium on Temporal Representation and Reasoning (TIME'06)
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evaluation results for the algorithm. ...
Overall scores of precision 73.83% and recall 58.70% are promising for a simple baseline approach and suggest that extracting only a restricted subset of the temporal information available in a text may ...
Tha authors would like to thank Ian Roberts for programming help in generating the figures in the data tables. ...
doi:10.1109/time.2006.27
dblp:conf/time/GaizauskasHHS06
fatcat:x7fjlgh7aze4phvw25wpcyjal4
Using Voting Approach for Event Extraction and Event-DCT, Event-Time Relation Identification
2013
International Journal of Artificial Intelligence & Applications
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In this paper, we have reported extraction of events and identification of different temporal relations between event-time and even-document creation time (DCT) within the TimeML framework. ...
The contributions of this work are two-fold; initially features are extracted from the training corpus and used to train a CRF and SVM framework. ...
ACKNOWLEDGEMENTS The work is partially supported by a grant from English to Indian language Machine Translation(EILMT) funded by Department of Information and Technology (DIT), Government of India. ...
doi:10.5121/ijaia.2013.4106
fatcat:jt7aeki4kvfsvl7igodzuoiz4q
TDDiscourse: A Dataset for Discourse-Level Temporal Ordering of Events
2019
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue
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We create TDDiscourse by augmenting TimeBank-Dense, a corpus of English news articles, manually annotating global pairs that cannot be inferred automatically from existing annotations. ...
Our annotations double the number of temporal links in TimeBank-Dense, while possessing several desirable properties such as focusing on long-distance pairs and not being automatically inferable. ...
The authors would like to thank Lisa Carey Lohmueller, Shivani Poddar and Michael Miller Yoder for assisting in human evaluation of TDD-Auto, Evangelia Spiliopoulou for help in implementing parts of the ...
doi:10.18653/v1/w19-5929
dblp:conf/sigdial/NaikBR19
fatcat:zmigoc4dbjc3jjl2bl3et5ocou
ISO-TimeML Event Extraction in Persian Text
2012
International Conference on Computational Linguistics
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For this purpose, a corpus of events has been built based on a specific version of ISO-TimeML for Persian. ...
Existing methods developed for this task are restricted to limited number of languages, and for many other languages including Persian, there has not been any effort yet. ...
Evita uses TimeBank information for finding the class of events. It simply chooses the majority class for the specific event in the corpus. ...
dblp:conf/coling/YaghoobzadehGME12
fatcat:koaqbetogzdr5p3xptwt4glht4
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