research
∙
07/05/2023
Won't Get Fooled Again: Answering Questions with False Premises
Pre-trained language models (PLMs) have shown unprecedented potential in...
share
research
∙
06/07/2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
This paper reexamines the research on out-of-distribution (OOD) robustne...
research
∙
09/22/2021
K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering
Knowledge enhanced pre-trained language models (K-PLMs) are shown to be ...
research
∙
04/18/2021
Dual-View Distilled BERT for Sentence Embedding
Recently, BERT realized significant progress for sentence matching via w...
research
∙
09/16/2020
Question Directed Graph Attention Network for Numerical Reasoning over Text
Numerical reasoning over texts, such as addition, subtraction, sorting a...
research
∙
04/26/2020
SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check
Chinese Spelling Check (CSC) is a task to detect and correct spelling er...
research
∙
09/08/2019
Symmetric Regularization based BERT for Pair-wise Semantic Reasoning
The ability of semantic reasoning over the sentence pair is essential fo...
research
∙
08/16/2019
BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction
In this paper, we report our method for the Information Extraction task ...
research
∙
03/22/2019
An end-to-end Neural Network Framework for Text Clustering
The unsupervised text clustering is one of the major tasks in natural la...
research
∙
03/11/2019
Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning
The ambiguous annotation criteria bring into the divergence of Chinese W...
research
∙
09/27/2017
