A Voting Mechanism for Named Entity Translation in English – Chinese Question Answering
نویسندگان
چکیده
In this paper, we describe a voting mechanism for accurate named entity (NE) translation in English–Chinese question answering (QA). This mechanism involves translations from three different sources: machine translation, online encyclopaedia, and web documents. The translation with the highest number of votes is selected. We evaluated this approach using test collection, topics and assessment results from the NTCIR-8 evaluation forum. This mechanism achieved 95% accuracy in NEs translation and 0.3756 MAP in English–Chinese cross-lingual information retrieval of QA.
منابع مشابه
WHU Question Answering System at NTCIR-8 ACLIA Task
In this paper, we describe our system implemented for the NTCIR-8 CCLQA task. The system consists of a question translation model and a general question answering system for both factoid and complex questions. The translation model combines a translation engine and an online dictionary, which can provide more accurate translations of named entities in the questions. With regard to the question ...
متن کاملBuilding English-Vietnamese Named Entity Corpus with Aligned Bilingual News Articles
Named entity recognition aims to classify words in a document into pre-defined target entity classes. It is now considered to be fundamental for many natural language processing tasks such as information retrieval, machine translation, information extraction and question answering. This paper presents a workflow to build an English-Vietnamese named entity corpus from an aligned bilingual corpus...
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 کاملبهبود 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 کاملComponent Analysis of a Chinese Factoid Question-Answering System
An analysis is provided for three major components of a simple Chinese Question-Answering system: passage retrieval, entity extraction and candidate selection. The order of least effective component is determined to be: answer selection, retrieval and extraction. In crosslingual QA, deficiencies in question translation not only lead to retrieval loss, but may also have adverse effects at answer...
متن کامل