Географиялық көрсеткіш

Implemented methods for proper names recognition rely on large gazetteers of common proper nouns and a set of heuristic rules (e.g. Mr. as an indicator of a PERSON entity type). …...

Implemented methods for proper names recognition rely on large gazetteers of common proper nouns and a set of heuristic rules (e.g. Mr. as an indicator of a PERSON entity type). …...

It is often claimed that Named En- tity recognition systems need extensive gazetteers--lists of names of people, or- ganisations, locations, and other named entities. Indeed, the compilation of such gazetteers …...

This research is aimed at the problem of disambiguating toponyms (place names) in terms of a classification derived by merging information from two publicly available gazetteers. To establish the dif- …...

We propose using large-scale clustering of de- pendency relations between verbs and multi- word nouns (MNs) to construct a gazetteer for named entity recognition (NER). Since depen- dency relations capture …...

AbstractIn this paper, we present work on enhancing the basic data resource of a context-aware system. Electronic text offers a wealth of information about geospatial data and can be used …...

We consider a novel setting for Named En- tity Recognition (NER) where we have ac- cess to document-specific knowledge base tags. These tags consist of a canonical name from a …...

AbstractThis paper describes the system developed by the USTC-NELSLIP team for SemEval-2023 Task 2 Multilingual Complex Named Entity Recognition (MultiCoNER II). We propose a method named Statistical Construction and Dual …...