Named Entity Recognition for Digitised Historical Texts
نویسندگان
چکیده
We describe and evaluate a prototype system for recognising person and place names in digitised records of British parliamentary proceedings from the late 17th and early 19th centuries. The output of an OCR engine is the input for our system and we describe certain issues and errors in this data and discuss the methods we have used to overcome the problems. We describe our rule-based named entity recognition system for person and place names which is implemented using the LT-XML2 and LT-TTT2 text processing tools. We discuss the annotation of a development and testing corpus and provide results of an evaluation of our system on the test corpus.
منابع مشابه
بهبود شناسایی موجودیت‌های نامدار فارسی با استفاده از کسره اضافه
Named entity recognition is a process in which the people’s names, name of places (cities, countries, seas, etc.) and organizations (public and private companies, international institutions, etc.), date, currency and percentages in a text are identified. Named entity recognition plays an important role in many NLP tasks such as semantic role labeling, question answering, summarization, machine ...
متن کاملAlts, Abbreviations, and Akas: Historical Onomastic Variation and Automated Named Entity Recognition
The accurate automated identification of named places is a major concern for scholars in the digital humanities, and especially for those engaged in research that depends upon the gazetteer-led recognition of specific aspects. The field of onomastics examines the linguistic roots and historical development of names, which have for the most part only standardised into single officially recognise...
متن کاملتشخیص اسامی اشخاص با استفاده از تزریق کلمه‌های نامزد اسم در میدان‌های تصادفی شرطی برای زبان عربی
Named Entity Recognition and Extraction are very important tasks for discovering proper names including persons, locations, date, and time, inside electronic textual resources. Accurate named entity recognition system is an essential utility to resolve fundamental problems in question answering systems, summary extraction, information retrieval and extraction, machine translation, video interpr...
متن کاملDigitised historical text: Does it have to be mediOCRe?
This paper reports on experiments to improve the Optical Character Recognition (ocr) quality of historical text as a preliminary step in text mining. We analyse the quality of ocred text compared to a gold standard and show how it can be improved by performing two automatic correction steps. We also demonstrate the impact this can have on named entity recognition in a preliminary extrinsic eval...
متن کاملNamed Entity Recognition Applied on a Data Base of Medieval Latin Charters. The Case of Chartae Burgundiae
The work on the named entity recognition (NER) in databases of historical texts has been placed among the most promising new ways to implement best recovery and managements tools for exploring mass data. In this paper, we describe the application processing NER through a modelling with CRF on an annotated database of Burgundy collection of charters from the tenth to thirteenth centuries. The ai...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008