Adversarial Training Methods for Semi-Supervised Text Classification

25 May 2016 • tensorflow/models •

Adversarial training provides a means of regularizing supervised learning algorithms while virtual adversarial training is able to extend supervised learning algorithms to the semi-supervised setting.

SENTIMENT ANALYSIS TEXT CLASSIFICATION WORD EMBEDDINGS

Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

HLT 2015 • tensorflow/models •

Convolutional neural network (CNN) is a neural network that can make use of the internal structure of data such as the 2D structure of image data.

SENTIMENT ANALYSIS

RoBERTa: A Robustly Optimized BERT Pretraining Approach

26 Jul 2019 • huggingface/pytorch-transformers •

Language model pretraining has led to significant performance gains but careful comparison between different approaches is challenging.

LANGUAGE MODELLING LEXICAL SIMPLIFICATION NATURAL LANGUAGE INFERENCE QUESTION ANSWERING READING COMPREHENSION SEMANTIC TEXTUAL SIMILARITY SENTIMENT ANALYSIS

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

NeurIPS 2019 • huggingface/transformers •

As Transfer Learning from large-scale pre-trained models becomes more prevalent in Natural Language Processing (NLP), operating these large models in on-the-edge and/or under constrained computational training or inference budgets remains challenging.

LANGUAGE MODELLING LINGUISTIC ACCEPTABILITY NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SEMANTIC TEXTUAL SIMILARITY SENTIMENT ANALYSIS TRANSFER LEARNING

XLNet: Generalized Autoregressive Pretraining for Language Understanding

NeurIPS 2019 • huggingface/transformers •

With the capability of modeling bidirectional contexts, denoising autoencoding based pretraining like BERT achieves better performance than pretraining approaches based on autoregressive language modeling.

DOCUMENT RANKING LANGUAGE MODELLING NATURAL LANGUAGE INFERENCE QUESTION ANSWERING READING COMPREHENSION SEMANTIC TEXTUAL SIMILARITY SENTIMENT ANALYSIS TEXT CLASSIFICATION

Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

ICLR 2020 • google-research/bert •

Recent developments in natural language representations have been accompanied by large and expensive models that leverage vast amounts of general-domain text through self-supervised pre-training.

LANGUAGE MODELLING MODEL COMPRESSION SENTIMENT ANALYSIS

Bag of Tricks for Efficient Text Classification

EACL 2017 • facebookresearch/fastText

This paper explores a simple and efficient baseline for text classification.

SENTIMENT ANALYSIS TEXT CLASSIFICATION

Deep contextualized word representations

NAACL 2018 • flairNLP/flair •

We introduce a new type of deep contextualized word representation that models both (1) complex characteristics of word use (e. g., syntax and semantics), and (2) how these uses vary across linguistic contexts (i. e., to model polysemy).

CITATION INTENT CLASSIFICATION COREFERENCE RESOLUTION LANGUAGE MODELLING NAMED ENTITY RECOGNITION NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SEMANTIC ROLE LABELING SENTIMENT ANALYSIS

The Stanford CoreNLP Natural Language Processing Toolkit

ACL 2014 • stanfordnlp/CoreNLP

COREFERENCE RESOLUTION DEPENDENCY PARSING MORPHOLOGICAL ANALYSIS NAMED ENTITY RECOGNITION OPEN INFORMATION EXTRACTION PART-OF-SPEECH TAGGING SENTIMENT ANALYSIS TOKENIZATION

A Structured Self-attentive Sentence Embedding

9 Mar 2017 • facebookresearch/pytext •

This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention.

NATURAL LANGUAGE INFERENCE SENTENCE EMBEDDING SENTIMENT ANALYSIS