Computer Science Named Entity Recognition in the Open Research Knowledge Graph
نویسندگان
چکیده
Domain-specific named entity recognition (NER) on Computer Science (CS) scholarly articles is an information extraction task that arguably more challenging for the various annotation aims can hamper and has been less studied than NER in general domain. Given significant progress made NER, we anticipate domain-specific will receive increasing attention years to come. Currently, CS – focus of this work hampered part by its recency lack a standardized scientific entities/terms. Directly addressing these issues, proposes defining set seven contribution-centric entities viz., research problem, solution, resource, language, tool, method, dataset.
منابع مشابه
Named Entity Recognition in Persian Text using Deep Learning
Named entities recognition is a fundamental task in the field of natural language processing. It is also known as a subset of information extraction. The process of recognizing named entities aims at finding proper nouns in the text and classifying them into predetermined classes such as names of people, organizations, and places. In this paper, we propose a named entity recognizer which benefi...
متن کاملGraph Convolutional Networks for Named Entity Recognition
In this paper we investigate the role of the dependency tree in a named entity recognizer upon using a set of Graph Convolutional Networks (GCNs). We perform a comparison among different Named Entity Recognition (NER) architectures and show that the grammar of a sentence positively influences the results. Experiments on the OntoNotes 5.0 dataset demonstrate consistent performance improvements, ...
متن کاملA framework for named entity recognition in the open domain
In this paper, a system for Named Entity Recognition in the Open domain (NERO) is described. It is concerned with recognition of various types of entity, types that will be appropriate for Information Extraction in any scenario context. The recognition task is performed by identifying normally capitalised phrases in a document and then submitting queries to a search engine to find potential hyp...
متن کاملAn Open Corpus for Named Entity Recognition in Historic Newspapers
The availability of openly available textual datasets (“corpora”) with highly accurate manual annotations (“gold standard”) of named entities (e.g. persons, locations, organizations, etc.) is crucial in the training and evaluation of named entity recognition systems. Currently there are only few such datasets available on the web, and even less for texts containing historical spelling variation...
متن کاملArabic Named Entity Recognition
Stemming is the process of reducing words to their stems or roots. Due to the morphological richness and complexity of the Arabic language, stemming is an essential part of most Natural Language Processing (NLP) tasks for this language. In this paper, we study the impact of different stemming approaches on the Named Entity Recognition (NER) task for Arabic and explore the merits, limitations an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Lecture Notes in Computer Science
سال: 2022
ISSN: ['1611-3349', '0302-9743']
DOI: https://doi.org/10.1007/978-3-031-21756-2_3