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Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question Answering Data
In spite of much recent research in the area, it is still unclear whethe...
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Gunrock 2.0: A User Adaptive Social Conversational System
Gunrock 2.0 is built on top of Gunrock with an emphasis on user adaptati...
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Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge
In this paper, we aim to extract commonsense knowledge to improve machin...
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A Efficient Multimodal Framework for Large Scale Emotion Recognition by Fusing Music and Electrodermal Activity Signals
Considerable attention has been paid for physiological signal-based emot...
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Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension
In this paper, we study machine reading comprehension (MRC) on long text...
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Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehensio
In this paper, we study machine reading comprehension (MRC) on long text...
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Dialogue-Based Relation Extraction
We present the first human-annotated dialogue-based relation extraction ...
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CLUE: A Chinese Language Understanding Evaluation Benchmark
We introduce CLUE, a Chinese Language Understanding Evaluation benchmark...
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Exploration Based Language Learning for Text-Based Games
This work presents an exploration and imitation-learning-based agent cap...
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Filling Conversation Ellipsis for Better Social Dialog Understanding
The phenomenon of ellipsis is prevalent in social conversations. Ellipsi...
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Gunrock: A Social Bot for Complex and Engaging Long Conversations
Gunrock is the winner of the 2018 Amazon Alexa Prize, as evaluated by co...
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Improving Pre-Trained Multilingual Models with Vocabulary Expansion
Recently, pre-trained language models have achieved remarkable success i...
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Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach
Recently, pretrained language models (e.g., BERT) have achieved great su...
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Dependency Parsing for Spoken Dialog Systems
Dependency parsing of conversational input can play an important role in...
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MIDAS: A Dialog Act Annotation Scheme for Open Domain Human Machine Spoken Conversations
Dialog act prediction is an essential language comprehension task for bo...
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User independent Emotion Recognition with Residual Signal-Image Network
User independent emotion recognition with large scale physiological sign...
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Probing Prior Knowledge Needed in Challenging Chinese Machine Reading Comprehension
With an ultimate goal of narrowing the gap between human and machine rea...
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Evidence Sentence Extraction for Machine Reading Comprehension
Recently remarkable success has been achieved in machine reading compreh...
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Improving Question Answering with External Knowledge
Prior background knowledge is essential for human reading and understand...
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DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension
We present DREAM, the first dialogue-based multiple-choice reading compr...
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Improving Machine Reading Comprehension with General Reading Strategies
Reading strategies have been shown to improve comprehension levels, espe...
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