Sentence Pair Modeling

4 papers with code · Natural Language Processing
Subtask of Language Modelling

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Latest papers with code

ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

2 Nov 2019sinovation/ZEN

Moreover, it is shown that reasonable performance can be obtained when ZEN is trained on a small corpus, which is important for applying pre-training techniques to scenarios with limited data.

CHINESE NAMED ENTITY RECOGNITION CHINESE WORD SEGMENTATION DOCUMENT CLASSIFICATION NATURAL LANGUAGE INFERENCE PART-OF-SPEECH TAGGING SENTENCE PAIR MODELING SENTIMENT ANALYSIS

350
02 Nov 2019

Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding

14 Aug 2019microsoft/Distilled-Sentence-Embedding

In this paper, we introduce Distilled Sentence Embedding (DSE) - a model that is based on knowledge distillation from cross-attentive models, focusing on sentence-pair tasks.

SEMANTIC SIMILARITY SENTENCE EMBEDDING

0
14 Aug 2019

Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering

COLING 2018 lanwuwei/SPM_toolkit

In this paper, we analyze several neural network designs (and their variations) for sentence pair modeling and compare their performance extensively across eight datasets, including paraphrase identification, semantic textual similarity, natural language inference, and question answering tasks.

NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION QUESTION ANSWERING SEMANTIC TEXTUAL SIMILARITY SENTENCE PAIR MODELING

262
12 Jun 2018

Character-based Neural Networks for Sentence Pair Modeling

NAACL 2018 lanwuwei/SPM_toolkit

Sentence pair modeling is critical for many NLP tasks, such as paraphrase identification, semantic textual similarity, and natural language inference.

NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION SEMANTIC TEXTUAL SIMILARITY SENTENCE PAIR MODELING

262
21 May 2018