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Greatest papers with code

Macro Grammars and Holistic Triggering for Efficient Semantic Parsing

EMNLP 2017 percyliang/sempre

To learn a semantic parser from denotations, a learning algorithm must search over a combinatorially large space of logical forms for ones consistent with the annotated denotations.

SEMANTIC PARSING SENTENCE SIMILARITY

Generating Sentences by Editing Prototypes

TACL 2018 kelvinguu/neural-editor

We propose a new generative model of sentences that first samples a prototype sentence from the training corpus and then edits it into a new sentence.

LANGUAGE MODELLING SENTENCE SIMILARITY

Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching

16 Jan 2021BangLiu/ArticlePairMatching

That is because there are usually many noises in the setting of long-form text matching, and it is difficult for existing semantic text matching to capture the key matching signals from this noisy information.

COMMUNITY QUESTION ANSWERING INFORMATION RETRIEVAL SEMANTIC TEXT MATCHING SENTENCE SIMILARITY TEXT MATCHING

On the Effect of Dropping Layers of Pre-trained Transformer Models

8 Apr 2020MahmoudWahdan/dialog-nlu

Transformer-based NLP models are trained using hundreds of millions or even billions of parameters, limiting their applicability in computationally constrained environments.

KNOWLEDGE DISTILLATION SENTENCE SIMILARITY

Sentence Similarity Learning by Lexical Decomposition and Composition

COLING 2016 Leputa/CIKM-AnalytiCup-2018

Most conventional sentence similarity methods only focus on similar parts of two input sentences, and simply ignore the dissimilar parts, which usually give us some clues and semantic meanings about the sentences.

PARAPHRASE IDENTIFICATION QUESTION ANSWERING SENTENCE SIMILARITY

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus

ACL 2016 imatge-upc/vqa-2016-cvprw

Over the past decade, large-scale supervised learning corpora have enabled machine learning researchers to make substantial advances.

MACHINE TRANSLATION QUESTION GENERATION SENTENCE SIMILARITY

NeuralWarp: Time-Series Similarity with Warping Networks

20 Dec 2018josifgrabocka/neuralwarp

Research on time-series similarity measures has emphasized the need for elastic methods which align the indices of pairs of time series and a plethora of non-parametric have been proposed for the task.

SENTENCE SIMILARITY TIME SERIES

Retrieval-Based Neural Code Generation

EMNLP 2018 sweetpeach/ReCode

In models to generate program source code from natural language, representing this code in a tree structure has been a common approach.

CODE GENERATION SENTENCE SIMILARITY