research
∙
05/31/2021
SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning
This paper introduces the SemEval-2021 shared task 4: Reading Comprehens...
share
research
∙
04/30/2020
Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots
The challenges of building knowledge-grounded retrieval-based chatbots l...
research
∙
04/08/2020
DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement
Disentanglement is a problem in which multiple conversations occur in th...
research
∙
04/07/2020
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots
In this paper, we study the problem of employing pre-trained language mo...
research
∙
04/27/2019
Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference
Natural language inference (NLI) is among the most challenging tasks in ...
research
∙
04/22/2019
Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge
Winograd Schema Challenge (WSC) was proposed as an AI-hard problem in te...
research
∙
11/01/2018
Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data
We propose a nested recurrent neural network (nested RNN) model for Engl...
research
∙
11/12/2017
Natural Language Inference with External Knowledge
Modeling informal inference in natural language is very challenging. Wit...
research
∙
08/04/2017
Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference
The RepEval 2017 Shared Task aims to evaluate natural language understan...
research
∙
03/14/2017
Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering
The last several years have seen intensive interest in exploring neural-...
research
∙
11/13/2016
Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge
In this paper, we propose commonsense knowledge enhanced embeddings (KEE...
research
∙
11/11/2016
Neural Networks Models for Entity Discovery and Linking
This paper describes the USTC_NELSLIP systems submitted to the Trilingua...
research
∙
10/26/2016
Distraction-Based Neural Networks for Document Summarization
Distributed representation learned with neural networks has recently sho...
research
∙
07/15/2016
Attention-over-Attention Neural Networks for Reading Comprehension
Cloze-style queries are representative problems in reading comprehension...
research
∙
03/24/2016
Probabilistic Reasoning via Deep Learning: Neural Association Models
In this paper, we propose a new deep learning approach, called neural as...
research
∙
12/28/2015
Feedforward Sequential Memory Networks: A New Structure to Learn Long-term Dependency
In this paper, we propose a novel neural network structure, namely feedf...
research
∙
10/09/2015