Semantic Similarity

77 papers with code · Natural Language Processing

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Improving Language Understanding by Generative Pre-Training

Preprint 2018 openai/finetune-transformer-lm

We demonstrate that large gains on these tasks can be realized by generative pre-training of a language model on a diverse corpus of unlabeled text, followed by discriminative fine-tuning on each specific task.

DOCUMENT CLASSIFICATION LANGUAGE MODELLING NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY

A Hybrid Neural Network Model for Commonsense Reasoning

WS 2019 namisan/mt-dnn

An HNN consists of two component models, a masked language model and a semantic similarity model, which share a BERT-based contextual encoder but use different model-specific input and output layers.

LANGUAGE MODELLING SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

IJCNLP 2019 UKPLab/sentence-transformers

However, it requires that both sentences are fed into the network, which causes a massive computational overhead: Finding the most similar pair in a collection of 10, 000 sentences requires about 50 million inference computations (~65 hours) with BERT.

REGRESSION SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY SENTENCE EMBEDDINGS TRANSFER LEARNING

ERNIE: Enhanced Representation through Knowledge Integration

19 Apr 2019nghuyong/ERNIE-Pytorch

We present a novel language representation model enhanced by knowledge called ERNIE (Enhanced Representation through kNowledge IntEgration).

NAMED ENTITY RECOGNITION NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY SENTIMENT ANALYSIS

No Fuss Distance Metric Learning using Proxies

ICCV 2017 Confusezius/Deep-Metric-Learning-Baselines

Traditionally, for this problem supervision is expressed in the form of sets of points that follow an ordinal relationship -- an anchor point $x$ is similar to a set of positive points $Y$, and dissimilar to a set of negative points $Z$, and a loss defined over these distances is minimized.

METRIC LEARNING SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY ZERO-SHOT LEARNING

Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network

CVPR 2018 ypxie/HDGan

This paper presents a novel method to deal with the challenging task of generating photographic images conditioned on semantic image descriptions.

IMAGE GENERATION SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY

Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks

WS 2017 nathanshartmann/portuguese_word_embeddings

Word embeddings have been found to provide meaningful representations for words in an efficient way; therefore, they have become common in Natural Language Processing sys- tems.

SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY WORD EMBEDDINGS

Counter-fitting Word Vectors to Linguistic Constraints

NAACL 2016 nmrksic/counter-fitting

In this work, we present a novel counter-fitting method which injects antonymy and synonymy constraints into vector space representations in order to improve the vectors' capability for judging semantic similarity.

DIALOGUE STATE TRACKING SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY

Augmenting Neural Response Generation with Context-Aware Topical Attention

WS 2019 nouhadziri/THRED

Our model is built upon the basic Seq2Seq model by augmenting it with a hierarchical joint attention mechanism that incorporates topical concepts and previous interactions into the response generation.

SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY

Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing

ACL 2018 jojonki/MultiWOZ-Parser

Robust dialogue belief tracking is a key component in maintaining good quality dialogue systems.

SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY