DeepAI AI Chat
Log In Sign Up

Enhanced word embeddings using multi-semantic representation through lexical chains

01/22/2021
by   Terry Ruas, et al.
0

The relationship between words in a sentence often tells us more about the underlying semantic content of a document than its actual words, individually. In this work, we propose two novel algorithms, called Flexible Lexical Chain II and Fixed Lexical Chain II. These algorithms combine the semantic relations derived from lexical chains, prior knowledge from lexical databases, and the robustness of the distributional hypothesis in word embeddings as building blocks forming a single system. In short, our approach has three main contributions: (i) a set of techniques that fully integrate word embeddings and lexical chains; (ii) a more robust semantic representation that considers the latent relation between words in a document; and (iii) lightweight word embeddings models that can be extended to any natural language task. We intend to assess the knowledge of pre-trained models to evaluate their robustness in the document classification task. The proposed techniques are tested against seven word embeddings algorithms using five different machine learning classifiers over six scenarios in the document classification task. Our results show the integration between lexical chains and word embeddings representations sustain state-of-the-art results, even against more complex systems.

READ FULL TEXT
02/28/2015

Task-Oriented Learning of Word Embeddings for Semantic Relation Classification

We present a novel learning method for word embeddings designed for rela...
05/20/2020

Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources

In this work, we present an effective method for semantic specialization...
01/21/2021

Multi-sense embeddings through a word sense disambiguation process

Natural Language Understanding has seen an increasing number of publicat...
09/19/2020

Nominal Compound Chain Extraction: A New Task for Semantic-enriched Lexical Chain

Lexical chain consists of cohesion words in a document, which implies th...
04/02/2021

Query2Prod2Vec Grounded Word Embeddings for eCommerce

We present Query2Prod2Vec, a model that grounds lexical representations ...
10/05/2020

On the Effects of Knowledge-Augmented Data in Word Embeddings

This paper investigates techniques for knowledge injection into word emb...