Si Wei

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Anhui USTC iFLYTEK Co

Researcher at Anhui USTC iFLYTEK Co

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Yang Wang
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Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots

The challenges of building knowledge-grounded retrieval-based chatbots l...
04/30/2020 ∙ by Jia-Chen Gu, et al. ∙ 0 ∙ share

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DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement

Disentanglement is a problem in which multiple conversations occur in th...
04/08/2020 ∙ by Tianda Li, et al. ∙ 0 ∙ share

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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...
04/07/2020 ∙ by Jia-Chen Gu, et al. ∙ 0 ∙ share

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Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference

Natural language inference (NLI) is among the most challenging tasks in ...
04/27/2019 ∙ by Tianda Li, et al. ∙ 0 ∙ share

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Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge

Winograd Schema Challenge (WSC) was proposed as an AI-hard problem in te...
04/22/2019 ∙ by Yu-Ping Ruan, et al. ∙ 0 ∙ share

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Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data

We propose a nested recurrent neural network (nested RNN) model for Engl...
11/01/2018 ∙ by Hao Li, et al. ∙ 0 ∙ share

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Natural Language Inference with External Knowledge

Modeling informal inference in natural language is very challenging. Wit...
11/12/2017 ∙ by Qian Chen, et al. ∙ 0 ∙ share

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Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference

The RepEval 2017 Shared Task aims to evaluate natural language understan...
08/04/2017 ∙ by Qian Chen, et al. ∙ 0 ∙ share

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Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering

The last several years have seen intensive interest in exploring neural-...
03/14/2017 ∙ by Junbei Zhang, et al. ∙ 0 ∙ share

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Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge

In this paper, we propose commonsense knowledge enhanced embeddings (KEE...
11/13/2016 ∙ by Quan Liu, et al. ∙ 0 ∙ share

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Neural Networks Models for Entity Discovery and Linking

This paper describes the USTC_NELSLIP systems submitted to the Trilingua...
11/11/2016 ∙ by Dan Liu, et al. ∙ 0 ∙ share

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Distraction-Based Neural Networks for Document Summarization

Distributed representation learned with neural networks has recently sho...
10/26/2016 ∙ by Qian Chen, et al. ∙ 0 ∙ share

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Attention-over-Attention Neural Networks for Reading Comprehension

Cloze-style queries are representative problems in reading comprehension...
07/15/2016 ∙ by Yiming Cui, et al. ∙ 0 ∙ share

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Probabilistic Reasoning via Deep Learning: Neural Association Models

In this paper, we propose a new deep learning approach, called neural as...
03/24/2016 ∙ by Quan Liu, et al. ∙ 0 ∙ share

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Feedforward Sequential Memory Networks: A New Structure to Learn Long-term Dependency

In this paper, we propose a novel neural network structure, namely feedf...
12/28/2015 ∙ by Shiliang Zhang, et al. ∙ 0 ∙ share

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Feedforward Sequential Memory Neural Networks without Recurrent Feedback

We introduce a new structure for memory neural networks, called feedforw...
10/09/2015 ∙ by Shiliang Zhang, et al. ∙ 0 ∙ share

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