Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text

نویسندگان

  • Einat Minkov
  • Richard C. Wang
  • William W. Cohen
چکیده

There has been little prior work on Named Entity Recognition for ”informal” documents like email. We present two methods for improving performance of person name recognizers for email: emailspecific structural features and a recallenhancing method which exploits name repetition across multiple documents.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text

There has been little prior work on Named Entity Recognition for ”informal” documents like email. We present two methods for improving performance of person name recognizers for email: emailspecific structural features and a recallenhancing method which exploits name repetition across multiple documents.

متن کامل

Extracting Personal Names from Emails: Applying Named Entity Recognition to Informal Text

The problem of named entity recognition (NER) has been well-studied, but there has been little prior work on NER for “informal” documents—i.e., documents like email messages and bulletin board postings that are prepared quickly, and intended for a narrow audience. In this paper, we investigate NER for informal text, via an experimental study of recognizing personal names in email. We study the ...

متن کامل

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 کامل

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 کامل

Improvement of Chemical Named Entity Recognition through Sentence-based Random Under-sampling and Classifier Combination

Chemical Named Entity Recognition (NER) is the basic step for consequent information extraction tasks such as named entity resolution, drug-drug interaction discovery, extraction of the names of the molecules and their properties. Improvement in the performance of such systems may affects the quality of the subsequent tasks. Chemical text from which data for named entity recognition is extracte...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005