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Using Syntactic Dependencies and WordNet Classes for Noun Event Recognition

Yoonjae Jeong, Sung-Hyon Myaeng
2012 International Semantic Web Conference  
TimeML is the most recent annotation scheme for processing the event and temporal expressions in natural language processing fields.  ...  In this paper, we argue and demonstrate that the dependencies and the deep-level WordNet classes are useful for recognizing 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

Using WordNet Hypernyms and Dependency Features for Phrasal-Level Event Recognition and Type Classification [chapter]

Yoonjae Jeong, Sung-Hyon Myaeng
2013 Lecture Notes in Computer Science  
TimeML is the most recent annotation scheme for processing the event and temporal expressions in natural language processing fields.  ...  The goal of this research is to devise a method for recognizing and classifying TimeML events in a more effective way.  ...  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

ISO-TimeML Event Extraction in Persian Text

Yadollah Yaghoobzadeh, Gholamreza Ghassem-Sani, Seyed Abolghasem Mirroshandel, Mahbaneh Eshaghzadeh
2012 International Conference on Computational Linguistics  
For this purpose, a corpus of events has been built based on a specific version of ISO-TimeML for Persian.  ...  We present the specification of this corpus together with the results of applying mentioned approaches to the corpus.  ...  Special lists, which were extracted from an annotated corpus, in conjunction with WordNet were also used for detection of nominal events (Grover et al., 2010) .  ... 
dblp:conf/coling/YaghoobzadehGME12 fatcat:koaqbetogzdr5p3xptwt4glht4

Using Voting Approach for Event Extraction and Event-DCT, Event-Time Relation Identification

Anup Kumar Kolyal, Asif Ekbal, Sivaji Bandyopadhyay
2013 International Journal of Artificial Intelligence & Applications  
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.  ...  Then, the proposal of a voted approach for event extraction, event-DCT and event-time relation identification by combining the supervised classifiers such as Conditional Random Field (CRF) and Support  ...  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

Detecting and Extracting Events from Text Documents [article]

Jugal Kalita
2016 arXiv   pre-print
We end the paper with a discussion of challenges and future directions.  ...  The paper starts by giving an overview of how events are treated in linguistics and philosophy.  ...  In a TimeML annotated corpus, every event is annotated. Thus, when working with the TimeML model, an extraction program attempts to extract every event.  ... 
arXiv:1601.04012v1 fatcat:74wtgbf2qbd6lfj34jb6heh6ei

Supervised Machine Learning Techniques to Detect TimeML Events in French and English [chapter]

Béatrice Arnulphy, Vincent Claveau, Xavier Tannier, Anne Vilnat
2015 Lecture Notes in Computer Science  
These systems are evaluated on French corpora and compared with state-of-the-art methods on English. The very good results obtained on both languages validate our approach.  ...  Identifying events from texts is an information extraction task necessary for many NLP applications.  ...  The semantic level features are the semantic role, the governing verb of the current word, role configuration (for governing verbs), lexical semantics (the top four classes from WordNet for each word).  ... 
doi:10.1007/978-3-319-19581-0_2 fatcat:yxfbhvmaprc7xanrp4jz3vum3a


2010 International Journal of Semantic Computing (IJSC)  
Our system outperforms or performs competitively with existing systems that evaluate on the TimeBank, TempEval 1 and TempEval 2 corpus and our performance is very close to inter-annotator agreement of  ...  the TimeBank annotators.  ...  ", only said is annotated and reports won't be annotated. As for event attributes, TimeML considers class, tense, aspect, and nf_morph (Nonfinite morphology).  ... 
doi:10.1142/s1793351x10001097 fatcat:xqiwkbs635chxgsxrtikctpnoi

A Mapping of CIDOC CRM Events to German Wordnet for Event Detection in Texts

Martin Scholz
2013 International Conference on Theory and Practice of Digital Libraries  
A central role plays a hand-crafted mapping of CIDOC CRM 1 events to GermaNet synsets to ease the process of creating a lexicon for automatic event detection.  ...  The detection of event mentions in free text is a key to a deeper automatic understanding of the text's contents.  ...  Tokens may be annotated with multiple event classes.  ... 
dblp:conf/ercimdl/Scholz13 fatcat:fppm7nip6bfmhpb34bqeppoona

Extracting Events and Temporal Expressions from Text

Naushad UzZaman, James F. Allen
2010 2010 IEEE Fourth International Conference on Semantic Computing  
Our system outperforms or does equally well with all existing systems that evaluate on the TimeBank corpus and our performance is very close to inter-annotator agreement of the TimeBank annotators.  ...  Our system is a combination of deep semantic parsing with extraction rules, Markov Logic Network classifiers and Conditional Random Field classifiers.  ...  RELATED WORK To a first approximation, our view of events matches closely with the TimeML (Pustejovsky et al.) [14] temporal annotation scheme.  ... 
doi:10.1109/icsc.2010.45 dblp:conf/semco/UzZamanA10 fatcat:dkqlvm2w5jdmvlvskwn2o5xlla

Automatically Generated Noun Lexicons for Event Extraction [chapter]

Béatrice Arnulphy, Xavier Tannier, Anne Vilnat
2012 Lecture Notes in Computer Science  
Almost all names of events are ambiguous in context (i.e., they can be interpreted in an eventive or noneventive reading).  ...  In this paper, we propose a method for creating automatically weighted lexicons of event names.  ...  This lexicon has been used for TimeML manual annotation in French. The Action and Eventive Nouns in WordNet contains 5903 nouns tagged as act (for action) or events .  ... 
doi:10.1007/978-3-642-28601-8_19 fatcat:2pldskyrtfdgnh5ch55lqegjqe

Open-Domain Event Detection using Distant Supervision

Jun Araki, Teruko Mitamura
2018 International Conference on Computational Linguistics  
This paper introduces open-domain event detection, a new event detection paradigm to address issues of prior work on restricted domains and event annotation.  ...  This result indicates that the distant supervision enables robust event detection in various domains, while obviating the need for human annotation of events.  ...  The statements made herein are solely the responsibility of the authors.  ... 
dblp:conf/coling/ArakiM18 fatcat:xut6p6k2ajbm7gbhffe2rlywfu

Annotating and Learning Event Durations in Text

Feng Pan, Rutu Mulkar-Mehta, Jerry R. Hobbs
2011 Computational Linguistics  
We describe the annotation guidelines, the event classes we categorized to reduce gross discrepancies in inter-annotator judgments, and our use of normal distributions to model vague and implicit temporal  ...  This article presents our work on constructing a corpus of news articles in which events are annotated for estimated bounds on their duration, and automatically learning from this corpus.  ...  Extending TimeML with Estimated Event Durations This section describes the event classes in TimeML and how we can integrate our annotations of estimated event durations with them.  ... 
doi:10.1162/coli_a_00075 fatcat:tk753pbdfbhvbdcia22rjzakee

Learning Sentence-internal Temporal Relations

M. Lapata, A. Lascarides
2006 The Journal of Artificial Intelligence Research  
Secondly, we assess whether the proposed approach holds promise for the semi-automatic creation of temporal annotations.  ...  We first show that models trained on main and subordinate clauses connected with a temporal marker achieve good performance on a pseudo-disambiguation task simulating temporal inference (during testing  ...  A preliminary version of this work was published in the proceedings of NAACL 2004; we also thank the anonymous reviewers of that paper for their comments.  ... 
doi:10.1613/jair.2015 fatcat:qan3gyxqxvbwzajzz5qh7r4uda

Extracting Temporal and Causal Relations between Events

Paramita Mirza
2014 Proceedings of the ACL 2014 Student Research Workshop  
We propose an annotation scheme to cover different types of causality between events, techniques for extracting such relations and an investigation into the connection between temporal and causal relations  ...  While there has been some research on temporal relations, the aspect of causality between events from a Natural Language Processing (NLP) perspective has hardly been touched.  ...  Note that for causative verbs we consider sets of verbs from all types of causal concepts including CAUSE-type, ENABLE-type and PREVENT-type verbs. Manual Annotation of Event Causality.  ... 
doi:10.3115/v1/p14-3002 dblp:conf/acl/Mirza14 fatcat:awmvmqixpjaqjf6prib36wzbpq

TRIPS and TRIOS System for TempEval-2: Extracting Temporal Information from Text

Naushad UzZaman, James F. Allen
2010 International Workshop on Semantic Evaluation  
The systems use a combination of deep semantic parsing, Markov Logic Networks and Conditional Random Field classifiers.  ...  Our system is notable in that for tasks C -F, they operated on raw text while all other systems used tagged events and temporal expressions in the corpus as input.  ...  We are also very thankful to Marc Verhagen and other organizers and annotators of TempEval-2 challenge for organizing a very successful event and also for being very cooperative.  ... 
dblp:conf/semeval/UzZamanA10 fatcat:htvthgwxd5bzfprxaevkk7fisu
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