Sentence Classification

33 papers with code ยท Natural Language Processing
Subtask of Text Classification

SVM

Leaderboards

Latest papers without code

Iterative Data Programming for Expanding Text Classification Corpora

4 Feb 2020

Real-world text classification tasks often require many labeled training examples that are expensive to obtain.

DENOISING SENTENCE CLASSIFICATION

Interpretable Network Structure for Modeling Contextual Dependency

ICLR 2020

Then, we show that the lower bound of such a separation rank can reveal the quantitative relation between the network structure (e. g. depth/width) and the modeling ability for the contextual dependency.

LANGUAGE MODELLING SENTENCE CLASSIFICATION

TinyBERT: Distilling BERT for Natural Language Understanding

ICLR 2020

To accelerate inference and reduce model size while maintaining accuracy, we firstly propose a novel Transformer distillation method that is specially designed for knowledge distillation (KD) of the Transformer-based models.

LANGUAGE MODELLING MODEL COMPRESSION NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SENTENCE CLASSIFICATION

An Empirical Study of Factors Affecting Language-Independent Models

30 Dec 2019

Scaling existing applications and solutions to multiple human languages has traditionally proven to be difficult, mainly due to the language-dependent nature of preprocessing and feature engineering techniques employed in traditional approaches.

FEATURE ENGINEERING SENTENCE CLASSIFICATION

Neural Simile Recognition with Cyclic Multitask Learning and Local Attention

19 Dec 2019

Simile recognition is to detect simile sentences and to extract simile components, i. e., tenors and vehicles.

SENTENCE CLASSIFICATION

Glyce: Glyph-vectors for Chinese Character Representations

NeurIPS 2019

When combing with BERT, we are able to set new state-of-the-art results for a variety of Chinese NLP tasks, including language modeling, tagging (NER, CWS, POS), sentence pair classification (BQ, LCQMC, XNLI, NLPCC-DBQA), single sentence classification tasks (ChnSentiCorp, the Fudan corpus, iFeng), dependency parsing, and semantic role labeling.

DEPENDENCY PARSING IMAGE CLASSIFICATION LANGUAGE MODELLING MULTI-TASK LEARNING SEMANTIC ROLE LABELING SENTENCE CLASSIFICATION

Improving Robustness of Task Oriented Dialog Systems

12 Nov 2019

However, evaluating a model's robustness to these changes is harder for language since words are discrete and an automated change (e. g. adding `noise') to a query sometimes changes the meaning and thus labels of a query.

ADVERSARIAL ATTACK DATA AUGMENTATION INTENT DETECTION SENTENCE CLASSIFICATION

A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency

5 Nov 2019

In this work, we propose a novel model for DE that simultaneously performs the two tasks in a single framework to benefit from their inter-dependencies.

MULTI-TASK LEARNING SENTENCE CLASSIFICATION

Cost-Sensitive BERT for Generalisable Sentence Classification on Imbalanced Data

WS 2019

The automatic identification of propaganda has gained significance in recent years due to technological and social changes in the way news is generated and consumed.

DATA AUGMENTATION SENTENCE CLASSIFICATION SENTIMENT ANALYSIS