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Linguistic Acceptability

4 papers with code · Natural Language Processing

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ERNIE 2.0: A Continual Pre-training Framework for Language Understanding

29 Jul 2019PaddlePaddle/ERNIE

Recently, pre-trained models have achieved state-of-the-art results in various language understanding tasks, which indicates that pre-training on large-scale corpora may play a crucial role in natural language processing.

LINGUISTIC ACCEPTABILITY MULTI-TASK LEARNING NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SEMANTIC TEXTUAL SIMILARITY SENTIMENT ANALYSIS

Multi-Task Deep Neural Networks for Natural Language Understanding

ACL 2019 namisan/mt-dnn

In this paper, we present a Multi-Task Deep Neural Network (MT-DNN) for learning representations across multiple natural language understanding (NLU) tasks.

DOMAIN ADAPTATION LANGUAGE MODELLING LINGUISTIC ACCEPTABILITY NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION SENTIMENT ANALYSIS

Neural Network Acceptability Judgments

31 May 2018nyu-mll/CoLA-baselines

We find that neural sequence models show promise on the acceptability classification task.

LANGUAGE ACQUISITION LINGUISTIC ACCEPTABILITY