Searching the Web by Meaning: A Case Study of Lithuanian News Websites

Vileiniskis, Tomas; Šukys, Algirdas; Butkienė, Rita

doi:10.1007/978-3-319-52758-1_4

Cited by 3 publications

(4 citation statements)

References 18 publications

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“…Our coreference annotation scheme and the first version of coreference resolution algorithm were implemented as part of NLP tools for the Lithuanian language in 2014. It allowed us to create a Semantic Search Framework for Lithuanian Language (SSFLL) Internet corpus extracted from public news portals (Vileiniškis, Šukys, and Butkienė 2015). Initial resolution approach was limited to pronoun resolution only but eventually was expanded to cover nouns as well.…”

Section: Coreference Annotation Schemementioning

confidence: 99%

“…These tools were chosen because they implement the annotation scheme that was presented in Section 4.1 and due to that make the evaluation process straightforward. For the experiment, the SSFLL NLP pipeline (Vileiniškis et al 2015) was used, which includes these tools. The evaluation was made by analyzing 100 Lithuanian Internet news sites articles of politics and economy domains present in LCC.…”

Section: Evaluation Processmentioning

confidence: 99%

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Linguistically aware evaluation of coreference resolution from the perspective of higher-level applications

2023

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Coreference resolution is an important part of natural language processing used in machine translation, semantic search, and various other information retrieval and understanding systems. One of the challenges in this field is an evaluation of resolution approaches. There are many different metrics proposed, but most of them rely on certain assumptions, like equivalence between different mentions of the same discourse-world entity, and do not account for overrepresentation of certain types of coreferences present in the evaluation data. In this paper, a new coreference evaluation strategy that focuses on linguistic and semantic information is presented that can address some of these shortcomings. Evaluation model was developed in the broader context of developing coreference resolution capabilities for Lithuanian language; therefore, the experiment was also carried out using Lithuanian language resources, but the proposed evaluation strategy is not language-dependent.

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Section: Coreference Annotation Schemementioning

confidence: 99%

Section: Evaluation Processmentioning

confidence: 99%

Linguistically aware evaluation of coreference resolution from the perspective of higher-level applications

2023

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Section: Introductionmentioning

confidence: 99%

“…Our previous work included the development of the semantic search framework [23] for answering questions presented in structured Lithuanian language, which is based on Semantics of Business Vocabulary and Business Rules (SBVR) language. Our results in [23] showed that there is a strong need to complement the NLP pipeline of semantic search with the coreference resolution. Such coreference resolution tools have not been developed for the Lithuanian language yet, especially for very sector-important digital medical application, as we apply our algorithm to process digital transcripts of a hospital reception.…”

Section: Introductionmentioning

confidence: 99%

Minimalistic Approach to Coreference Resolution in Lithuanian Medical Records

Žitkus

Butkienė

Butleris

et al. 2019

Computational and Mathematical Methods in Medicine

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Coreference resolution is a challenging part of natural language processing (NLP) with applications in machine translation, semantic search and other information retrieval, and decision support systems. Coreference resolution requires linguistic preprocessing and rich language resources for automatically identifying and resolving such expressions. Many rarer and under-resourced languages (such as Lithuanian) lack the required language resources and tools. We present a method for coreference resolution in Lithuanian language and its application for processing e-health records from a hospital reception. Our novelty is the ability to process coreferences with minimal linguistic resources, which is important in linguistic applications for rare and endangered languages. The experimental results show that coreference resolution is applicable to the development of NLP-powered online healthcare services in Lithuania.

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Monitoring Media Scrutiny of EU Official Information and Documentation. A Content Analysis of the European Online News Coverage (January–May 2017)

Georgescu

Olimid

et al. 2017

Communications in Computer and Information Science

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Searching the Web by Meaning: A Case Study of Lithuanian News Websites

Cited by 3 publications

References 18 publications

Linguistically aware evaluation of coreference resolution from the perspective of higher-level applications

Linguistically aware evaluation of coreference resolution from the perspective of higher-level applications

Minimalistic Approach to Coreference Resolution in Lithuanian Medical Records

Monitoring Media Scrutiny of EU Official Information and Documentation. A Content Analysis of the European Online News Coverage (January–May 2017)

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