Tense, aspect and mood based event extraction for situation analysis and crisis management

Download

index.pdf

Date

2011

Author

Hürriyetoğlu, Ali

Metadata

Show full item record

Item Usage Stats

131
views

47
downloads

Nowadays event extraction systems mainly deal with a relatively small amount of information about temporal and modal qualifications of situations, primarily processing assertive sentences in the past tense. However, systems with a wider coverage of tense, aspect and mood can provide better analyses and can be used in a wider range of text analysis applications. This thesis develops such a system for Turkish language. This is accomplished by extending Open Source Information Mining and Analysis (OPTIMA) research group's event extraction software, by implementing appropriate extensions in the semantic representation format, by adding a partial grammar which improves the TAM (Tense, Aspect and Mood) marker, adverb analysis and matching functions of ExPRESS, and by constructing an appropriate lexicon in the standard of CORLEONE. These extensions are based on the theory of anchoring relations (Temürcü, 2007, 2011) which is a cross-linguistically applicable semantic framework for analyzing tense, aspect and mood related categories. The result is a system which can, in addition to extracting basic event structures, classify sentences given in news reports according to their temporal, modal and volitional/illocutionary values. Although the focus is on news reports of natural disasters, disease outbreaks and man-made disasters in Turkish language, the approach can be adapted to other languages, domains and genres. This event extraction and classification system, with further developments, can provide a basis for automated browsing systems for preventing environmental and humanitarian risk.

Subject Keywords

Crisis management., Language and languages.

URI

http://etd.lib.metu.edu.tr/upload/12614296/index.pdf
https://hdl.handle.net/11511/21510

Collections

Graduate School of Informatics, Thesis

Suggestions

OpenMETU
Core

Conversational Repair in Foreign Language Classrooms: A Case Study in a Turkish Context Cokal-Karadas, Derya (2010-01-01) Problem Statement: A speaker's language proficiency level can be determined by observing the repair types employed during conversation. When a non-native speaker of English performs self-initiated self-repair, this means that s/he has attained native-like proficiency. However, when other-initiated other-repair is performed, the non-native speaker of English has achieved less native-like proficiency in the interaction. Thus, repairs are significant signs indicating the proficiency level of the language user ...
Heideggerian way-making to language Sezgi, Damla; Karademir, Aret; Department of Philosophy (2016) The main concern of the present thesis is ‘language’ in Heidegger. Beginning with a discussion of the place of the Heideggerian thought within the context of the history of philosophy, which at that time witnessed a shift which is called ‘linguistic turn’, the question ‘What is language?’ is scrutinized to show the dilemma which arises from the fact that this question itself is in language. After, from the Heideggerian perspective, the interrogation of the whatness of language is shown to be inadequate, req...
Fault detection and diagnosis in nonlinear dynamical systems Kılıç, Erdal; Leblebicioğlu, Mehmet Kemal; Department of Electrical and Electronics Engineering (2005) The aim of this study is to solve Fault Detection and Diagnosis (FDD) problems occurring in nonlinear dynamical systems by using model and knowledge-based FDD methods and to give a priority and a degree about faults. For this purpose, three model-based FDD approaches, called FDD by utilizing principal component analysis (PCA), system identification based FDD and inverse model based FDD are introduced. Performances of these approaches are tested on different nonlinear dynamical systems starting from simple t...
Extracting, computing, coordination: what does a triphasic ERP pattern say about language processing? Cedden, Gülay; ÇAKAR, TUNA (2021-11-01) The current study aims at contributing to the interpretation of the most prominent language-related ERP effects, N400 and P600, by investigating how neural responses to congruent and incongruent sentence endings vary, when the language processor processes the full array of the lexico-syntactic content in verbs with three affixes in canonical Turkish sentences. The ERP signals in response to three different violation conditions reveal a similar triphasic (P200/N400/P600) pattern resembling in topography and ...
Morphological processing of inflected and derived words in L1 Turkish and L2 English Şafak, Duygu Fatma; Kırkıcı, Bilal; Department of English Language Teaching (2015) The present study aims at examining how inflected and derived words are processed during the early stages of visual word recognition in a native language (L1) and in a second language (L2). A second aim of the study is to find out whether or not the semantic and surface-form properties of morphologically complex words affect early word recognition processes. Two masked priming experiments were conducted to investigate morphological processing in L1 Turkish and in L2 English. In the first experiment, 40 L1 s...

Citation Formats

A. Hürriyetoğlu, “Tense, aspect and mood based event extraction for situation analysis and crisis management,” M.S. - Master of Science, Middle East Technical University, 2011.