Polysemy Detection in Distributed Representation of Word Sense

09/26/2017
by   Kana Oomoto, et al.
0

In this paper, we propose a statistical test to determine whether a given word is used as a polysemic word or not. The statistic of the word in this test roughly corresponds to the fluctuation in the senses of the neighboring words a nd the word itself. Even though the sense of a word corresponds to a single vector, we discuss how polysemy of the words affects the position of vectors. Finally, we also explain the method to detect this effect.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/15/2016

Learning Word Sense Embeddings from Word Sense Definitions

Word embeddings play a significant role in many modern NLP systems. Sinc...
research
11/24/2021

A Rule-based/BPSO Approach to Produce Low-dimensional Semantic Basis Vectors Set

We intend to generate low-dimensional explicit distributional semantic v...
research
12/14/2018

Detecting Reliable Novel Word Senses: A Network-Centric Approach

In this era of Big Data, due to expeditious exchange of information on t...
research
04/14/2019

Distributed representation of multi-sense words: A loss-driven approach

Word2Vec's Skip Gram model is the current state-of-the-art approach for ...
research
02/22/2017

One Representation per Word - Does it make Sense for Composition?

In this paper, we investigate whether an a priori disambiguation of word...
research
12/02/2016

Alleviating Overfitting for Polysemous Words for Word Representation Estimation Using Lexicons

Though there are some works on improving distributed word representation...

Please sign up or login with your details

Forgot password? Click here to reset