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06/19/2023
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving
Although pre-trained language models (PLMs) have recently advanced the r...
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06/18/2023
Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective
Large language models (LLMs), like ChatGPT, have shown some human-like c...
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06/04/2023
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
Chain-of-thought prompting (CoT) and tool augmentation have been validat...
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05/09/2023
CSED: A Chinese Semantic Error Diagnosis Corpus
Recently, much Chinese text error correction work has focused on Chinese...
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04/03/2023
MiniRBT: A Two-stage Distilled Small Chinese Pre-trained Model
In natural language processing, pre-trained language models have become ...
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01/18/2023
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training
Understanding mathematical questions effectively is a crucial task, whic...
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12/15/2022
Gradient-based Intra-attention Pruning on Pre-trained Language Models
Pre-trained language models achieve superior performance, but they are c...
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11/10/2022
LERT: A Linguistically-motivated Pre-trained Language Model
Pre-trained Language Model (PLM) has become a representative foundation ...
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08/11/2022
Overview of CTC 2021: Chinese Text Correction for Native Speakers
In this paper, we present an overview of the CTC 2021, a Chinese text co...
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06/13/2022
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding
This paper aims to advance the mathematical intelligence of machines by ...
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02/28/2022
Cross-Lingual Text Classification with Multilingual Distillation and Zero-Shot-Aware Training
Multilingual pre-trained language models (MPLMs) not only can handle tas...
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02/10/2022
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities
Knowledge graph embedding (KGE) models learn the representation of entit...
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06/08/2021
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings
Adversarial training (AT) as a regularization method has proved its effe...
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06/03/2021
Bilingual Alignment Pre-training for Zero-shot Cross-lingual Transfer
Multilingual pre-trained models have achieved remarkable transfer perfor...
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05/10/2021
ExpMRC: Explainability Evaluation for Machine Reading Comprehension
Achieving human-level performance on some of Machine Reading Comprehensi...
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02/07/2021
Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question Answering
Retrieving information from correlative paragraphs or documents to answe...
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01/15/2021
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing
Computerized Adaptive Testing (CAT) is emerging as a promising testing a...
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11/13/2020
Unsupervised Explanation Generation for Machine Reading Comprehension
With the blooming of various Pre-trained Language Models (PLMs), Machine...
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11/03/2020
CharBERT: Character-aware Pre-trained Language Model
Most pre-trained language models (PLMs) construct word representations a...
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04/29/2020
Benchmarking Robustness of Machine Reading Comprehension Models
Machine Reading Comprehension (MRC) is an important testbed for evaluati...
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04/29/2020
Revisiting Pre-Trained Models for Chinese Natural Language Processing
Bidirectional Encoder Representations from Transformers (BERT) has shown...
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04/28/2020
Conversational Word Embedding for Retrieval-Based Dialog System
Human conversations contain many types of information, e.g., knowledge, ...
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04/07/2020
A Sentence Cloze Dataset for Chinese Machine Reading Comprehension
Owing to the continuous contributions by the Chinese NLP community, more...
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04/07/2020
Is Graph Structure Necessary for Multi-hop Reasoning?
Recently, many works attempt to model texts as graph structure and intro...
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02/28/2020
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing
In this paper, we introduce TextBrewer, an open-source knowledge distill...
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12/19/2019
CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension
We present a Chinese judicial reading comprehension (CJRC) dataset which...
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12/19/2019
Discriminative Sentence Modeling for Story Ending Prediction
Story Ending Prediction is a task that needs to select an appropriate en...
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11/14/2019
Contextual Recurrent Units for Cloze-style Reading Comprehension
Recurrent Neural Networks (RNN) are known as powerful models for handlin...
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11/09/2019
Improving Machine Reading Comprehension via Adversarial Training
Adversarial training (AT) as a regularization method has proved its effe...
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09/24/2019
TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots
We consider the importance of different utterances in the context for se...
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09/01/2019
Cross-Lingual Machine Reading Comprehension
Though the community has made great progress on Machine Reading Comprehe...
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06/19/2019
Pre-Training with Whole Word Masking for Chinese BERT
Bidirectional Encoder Representations from Transformers (BERT) has shown...
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05/27/2019
QuesNet: A Unified Representation for Heterogeneous Test Questions
Understanding learning materials (e.g. test questions) is a crucial issu...
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05/23/2019
Exploiting Cognitive Structure for Adaptive Learning
Adaptive learning, also known as adaptive teaching, relies on learning p...
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11/21/2018
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions
Machine Reading Comprehension (MRC) with multiple-choice questions requi...
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10/17/2018
A Span-Extraction Dataset for Chinese Machine Reading Comprehension
Machine Reading Comprehension (MRC) has become enormously popular recent...
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03/15/2018
HFL-RC System at SemEval-2018 Task 11: Hybrid Multi-Aspects Model for Commonsense Reading Comprehension
This paper describes the system which got the state-of-the-art results a...
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09/25/2017
Dataset for the First Evaluation on Chinese Machine Reading Comprehension
Machine Reading Comprehension (MRC) has become enormously popular recent...
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07/15/2016
Attention-over-Attention Neural Networks for Reading Comprehension
Cloze-style queries are representative problems in reading comprehension...
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07/08/2016
Consensus Attention-based Neural Networks for Chinese Reading Comprehension
Reading comprehension has embraced a booming in recent NLP research. Sev...
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06/06/2016
Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution
Most existing approaches for zero pronoun resolution are heavily relying...
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12/01/2015