Time-Independent and Language-Independent Extraction of Multiword Expressions From Twitter

نویسندگان

  • Nikhil Londhe
  • Rohini K. Srihari
  • Vishrawas Gopalakrishnan
چکیده

Multiword Expressions (MWEs) are crucial lexico-semantic units in any language. However, most work on MWEs has been focused on standard monolingual corpora. In this work, we examine MWE usage on Twitter an inherently multilingual medium with an extremely short average text length that is often replete with grammatical errors. In this work we present a new graph based, language agnostic method for automatically extracting MWEs from tweets. We show how our method outperforms standard Association Measures. We also present a novel unsupervised evaluation technique to ascertain the accuracy of MWE extraction.

برای دانلود رایگان 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

MULTILINGUAL MULTIWORD EXPRESSIONS Literature Survey

Multiword Expressions are idiosyncratic word usages of a language which often have noncompositional meaning. The knowledge of multiword expressions is necessary for many NLP tasks like, machine translation, natural language generation, named entity recognition, sentiment analysis etc. In order for other NLP applications to benefit from the knowledge of multiword expressions, they need to be ide...

متن کامل

USzeged: Identifying Verbal Multiword Expressions with POS Tagging and Parsing Techniques

The paper describes our system submitted for the Workshop on PARSEME’s Shared Task on automatic identification of verbal multiword expressions . It uses POS tagging and dependency parsing to identify singleand multi-token verbal MWEs in text. Our system is language-independent and competed on nine of the eighteen languages. Our paper describes how our system works and gives its error analysis f...

متن کامل

Identification of Multi-word Expressions by Combining Multiple Linguistic Information Sources

We propose a framework for using multiple sources of linguistic information in the task of identifying multiword expressions in natural language texts. We define various linguistically motivated classification features and introduce novel ways for computing them. We then manually define interrelationships among the features, and express them in a Bayesian network. The result is a powerful class...

متن کامل

A Model for Detecting of Persian Rumors based on the Analysis of Contextual Features in the Content of Social Networks

The rumor is a collective attempt to interpret a vague but attractive situation by using the power of words. Therefore, identifying the rumor language can be helpful in identifying it. The previous research has focused more on the contextual information to reply tweets and less on the content features of the original rumor to address the rumor detection problem. Most of the studies have been in...

متن کامل

A System for Compound Noun Multiword Expression Extraction for Hindi

Compound noun multiword expressions are important for many NLP applications like machine translation and information retrieval. This paper describes a system for Hindi compound noun multiword expressions (MWE) extraction from a given corpus. We identify major categories of compound noun MWEs, based on linguistic and psycholinguistic principles. Our extraction methods use various statistical co-...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016