List: Sentence / Word / Rel Embedding | Curated by Simon Kwan

Jul 11, 2022
28 stories
Sentence / Word / Rel Embedding
In
TDS Archive
by
Moshe Hazoom
Word2Vec For Phrases — Learning Embeddings For More Than One WordHow to learn similar terms in a given unsupervised corpus using Word2Vec
Dec 22, 2018
7
Dec 22, 2018
7
In
HackerNoon.com
by
Vijay athithya
Stepping into NLP — Word2Vec with GensimIntroduction to word2vec embeddings and use cases
Feb 27, 2019
3
Feb 27, 2019
3
In
towardsdatascience
by
Munesh Lakhey
Word2Vec -Negative Sampling made easyThis is my second post on Word2Vec. The previous article was about the probabilistic model explaining the mechanics of embedding and…
May 27, 2019
May 27, 2019
In
TDS Archive
by
Aaron (Ari) Bornstein
Beyond Word Embeddings Part 2- Word Vectors & NLP Modeling from BoW to BERTA primer in the neural nlp model archticture and word representation.
Oct 17, 2018
9
Oct 17, 2018
9
In
TDS Archive
by
Ivan Chen
Word2vec from Scratch with NumPyHow to implement a Word2vec model with  Python and NumPy
Feb 17, 2019
22
Feb 17, 2019
22
In
HackerNoon.com
by
Intuition Engineering
Chars2vec: character-based language model for handling real world texts with spelling errors and…This paper describes our open source character-based language model chars2vec. This model was developed with Keras library (TensorFlow…
Feb 28, 2019
11
Feb 28, 2019
11
In
TDS Archive
by
Zhi Li
A Beginner’s Guide to Word Embedding with Gensim Word2Vec ModelWord embedding is one of the most important techniques in natural language processing (NLP), where words are mapped to vectors of real…
May 30, 2019
7
May 30, 2019
7
In
Analytics Vidhya
by
Sundar V
Entity Linking: A primary NLP task for Information ExtractionDo you want to use the massive linked open data available? Have you heard of a significant NLP task called Named Entity Linking?
Sep 14, 2019
3
Sep 14, 2019
3
Edward Ma
Multi-Task Learning for Sentence EmbeddingsUniversal Sentence Encoder
Jun 10, 2019
Jun 10, 2019
Gaurav Gupta
Universal Sentence EncodingUsing universal-sentence-encoder to create embeddings for sentences
Oct 19, 2018
3
Oct 19, 2018
3
khan baykaner
A quick report on cross-lingual word embeddingsI recently attended a talk on cross-lingual word embeddings presented by Ivan Vulić of the Language Technology Lab at Cambridge University…
Apr 30, 2018
Apr 30, 2018
In
TDS Archive
by
Ajit Rajasekharan
Examining BERT’s raw embeddingsAre they of any use standalone?
Dec 17, 2019
2
Dec 17, 2019
2
Samarth Sarin
Glove Word Embeddings with Keras (Python code)Hello everyone, this is the first time I am writing a blog about my work on Medium. Just had a thought of doing something for people who…
May 20, 2019
1
May 20, 2019
1
In
TDS Archive
by
Vedashree Patil
Understanding FAISS….And the world of Similarity Searching
May 19, 2019
13
May 19, 2019
13
LETTRIA
Embedding for spelling correctionAutomatic spelling correction, despite being worked on since the 70’s, remain hard to solve in the absence of significant user data.
Sep 25, 2019
Sep 25, 2019
In
TDS Archive
by
Jacob Zweig
Elmo Embeddings in Keras with TensorFlow hubThe newly released Tensorflow hub provides an easy interface to use existing machine learning models for transfer learning. Sometimes…
Apr 24, 2018
20
Apr 24, 2018
20
出嚟食飯
Traditional Chinese Word Embeddings from Hong Kong DataWords as Numbers
May 30, 2019
3
May 30, 2019
3
In
TDS Archive
by
Daulet Nurmanbetov
Cutting edge semantic search and sentence similaritySemantic search is a hard problem worth solving in NLP.
May 4, 2020
2
May 4, 2020
2
In
TDS Archive
by
Gergely D. Németh
Visualisation of embedding relations (Word2Vec, BERT)In this story, we will visualise the word embedding vectors to understand the relations between words described by the embeddings. This…
Oct 15, 2019
2
Oct 15, 2019
2
In
TDS Archive
by
Edward Ma
Replacing your Word Embeddings by Contextualized Word VectorsInfluenced from Mikolov et al. (2013) and Pennington et al. (2014), word embeddings become the basic step of initializing NLP project…
Oct 20, 2018
1
Oct 20, 2018
1