Improved Recognition and Normalisation of Polish Temporal Expressions

@inproceedings{Koco2017ImprovedRA,
  title={Improved Recognition and Normalisation of Polish Temporal Expressions},
  author={Jan Kocoń and Michal Marcinczuk},
  booktitle={Recent Advances in Natural Language Processing},
  year={2017}
}
In this article we present the result of the recent research in the recognition and normalisation of Polish temporal expressions. The temporal information extracted from the text plays major role in many information extraction systems, like question answering, event recognition or discourse analysis. We proposed a new method for the temporal expressions normalisation, called Cascade of Partial Rules. Here we describe results achieved by updated version of Liner2 machine learning system. 

Tables from this paper

Recognition and normalisation of temporal expressions using conditional random fields and cascade of partial rules

The key aspect of the work is the description of the features used for the recognition, the use of the method for selection and creation of feature templates for the model of Conditional Random Fields.

EusTimeML: A mark-up language for temporal information in Basque

We present EusTimeML, a mark-up language for temporal information in texts written in Basque. It is compliant with the TimeML specifications, while offering some adapted attributes and attribute

Evaluating KGR10 Polish word embeddings in the recognition of temporal expressions using BiLSTM-CRF

A new set of Polish word embeddings are introduced, built using KGR10 corpus, which contains more than 4 billion words, and evaluated in the problem of recognition of temporal expressions for the Polish language.

References

SHOWING 1-10 OF 17 REFERENCES

Recognition of Polish Temporal Expressions

Results achieved by Liner2 machine learning system, adapted to recognise Polish temporal expressions are described.

Supervised approach to recognise Polish temporal expressions and rule-based interpretation of timexes †

The whole process of corpus annotation, evaluation of inter-annotator agreement, extending Liner2 system with new features and evaluation of the recognition models before and after feature selection with the analysis of statistical significance of differences are presented.

TimeML Events Recognition and Classification: Learning CRF Models with Semantic Roles

It is demonstrated that the application of semantic roles improves the performance of the presented system, especially for nominal events.

HeidelTime: Tuning English and Developing Spanish Resources for TempEval-3

With the multilingual temporal tagger HeidelTime, this paper addressed task A, the extraction and normalization of temporal expressions for English and Spanish, and tuned Heidel time’s existing English resources and developed new Spanish resources.

Temporal and Event Information in Natural Language Text

A language is presented, TimeML, which attempts to capture the richness of temporal and event related information in language, while demonstrating how it can play an important part in the development of more robust question answering systems.

TERSEO: Temporal Expression Resolution System Applied to Event Ordering

The main goal is the automatic addition of metadata to the documental database that could be used in Question-Answering systems helping in the resolution of “when” questions.

Sub-event based multi-document summarization

The aim is to determine whether identifying sub-events in a news topic could help to capture essential information to produce better summaries and to examine the use of inter-judge agreement and a relative utility metric that accounts for the complexity of determining sentence quality in relation to a topic.

Automatic Extraction of Facts from Press Releases to Generate News Stories

JASPER is a fact extraction system recently developed and deployed by Carnegie Group for Reuters Ltd, which uses a template-driven approach, partial understanding techniques, and heuristic procedures to extract certain key pieces of information from a limited range of text.

SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations

The participants’ approaches, results, and the observations from the results, which may guide future research in this area are described.

The Specification Language TimeML

This paper provides 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, and demonstrates the expressiveness of timeML for a broad range of syntactic and semantic contexts.