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Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.

( Image credit: Dynamic Word Embedding for Evolving Semantic Discovery )

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Latest papers with code

Unsupervised Graph-based Topic Modeling from Video Transcriptions

4 May 2021JaTrev/unsupervised_graph-based

To unfold the tremendous amount of audiovisual data uploaded daily to social media platforms, effective topic modelling techniques are needed.

TOPIC MODELS WORD EMBEDDINGS

0
04 May 2021

A Bi-Encoder LSTM Model For Learning Unstructured Dialogs

25 Apr 2021DiwanshuShekhar/bi_encoder_lstm

Creating a data-driven model that is trained on a large dataset of unstructured dialogs is a crucial step in developing Retrieval-based Chatbot systems.

CHATBOT WORD EMBEDDINGS

1
25 Apr 2021

Multi-source Neural Topic Modeling in Multi-view Embedding Spaces

17 Apr 2021YatinChaudhary/Multi-view-Multi-source-Topic-Modeling

Though word embeddings and topics are complementary representations, several past works have only used pretrained word embeddings in (neural) topic modeling to address data sparsity in short-text or small collection of documents.

INFORMATION RETRIEVAL WORD EMBEDDINGS

0
17 Apr 2021

"Wikily" Neural Machine Translation Tailored to Cross-Lingual Tasks

16 Apr 2021rasoolims/ImageTranslate

In image captioning, we train a multi-tasking machine translation and image captioning pipeline for Arabic and English from which the Arabic training data is a wikily translation of the English captioning data.

CROSS-LINGUAL TRANSFER DEPENDENCY PARSING IMAGE CAPTIONING MACHINE TRANSLATION WORD EMBEDDINGS

2
16 Apr 2021

[RE] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation

14 Apr 2021hassiahk/MLRC-2020-Double-Hard-Debias

Despite widespread use in natural language processing (NLP) tasks, word embeddings have been criticized for inheriting unintended gender bias from training corpora.

WORD EMBEDDINGS

5
14 Apr 2021

Cross-Lingual Word Embedding Refinement by $\ell_{1}$ Norm Optimisation

11 Apr 2021Pzoom522/L1-Refinement

It is therefore recommended that this strategy be adopted as a standard for CLWE methods.

CROSS-LINGUAL TRANSFER NATURAL LANGUAGE INFERENCE WORD EMBEDDINGS

4
11 Apr 2021

FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection

10 Apr 2021adrianchifu/FreSaDa

We employ two classification methods as baselines for our new data set, one based on low-level features (character n-grams) and one based on high-level features (average of CamemBERT word embeddings).

UNSUPERVISED DOMAIN ADAPTATION WORD EMBEDDINGS

1
10 Apr 2021

Object Priors for Classifying and Localizing Unseen Actions

10 Apr 2021psmmettes/object-priors-unseen-actions

This work strives for the classification and localization of human actions in videos, without the need for any labeled video training examples.

ACTION CLASSIFICATION ACTION CLASSIFICATION ACTION LOCALIZATION VIDEO RETRIEVAL WORD EMBEDDINGS

0
10 Apr 2021

Probing BERT in Hyperbolic Spaces

ICLR 2021 FranxYao/PoincareProbe

We introduce a Poincare probe, a structural probe projecting these embeddings into a Poincare subspace with explicitly defined hierarchies.

WORD EMBEDDINGS

12
08 Apr 2021

VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations

6 Apr 2021tdavislab/verb

To aid this, we present Visualization of Embedding Representations for deBiasing system ("VERB"), an open-source web-based visualization tool that helps the users gain a technical understanding and visual intuition of the inner workings of debiasing techniques, with a focus on their geometric properties.

DECISION MAKING DIMENSIONALITY REDUCTION FAIRNESS WORD EMBEDDINGS

0
06 Apr 2021