b'Mo Yu'

research

∙ 05/17/2023

Personality Understanding of Fictional Characters during Book Reading

Comprehending characters' personalities is a crucial aspect of story rea...

0 Mo Yu, et al. ∙

research

∙ 04/06/2023

Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions

Large language models (LLMs) such as ChatGPT and GPT-4 have recently dem...

0 Chen Feng Tsai, et al. ∙

research

∙ 03/28/2023

Explicit Planning Helps Language Models in Logical Reasoning

Language models have been shown to perform remarkably well on a wide ran...

0 Hongyu Zhao, et al. ∙

research

∙ 01/28/2023

MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics

Gradient-based meta-learning methods have primarily been applied to clas...

0 Lu Zhang, et al. ∙

research

∙ 11/09/2022

Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind

When reading a story, humans can rapidly understand new fictional charac...

0 Mo Yu, et al. ∙

research

∙ 10/26/2022

Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension

In this work, we focus on dialogue reading comprehension (DRC), a task e...

0 Jiangnan Li, et al. ∙

research

∙ 10/20/2022

MBTI Personality Prediction for Fictional Characters Using Movie Scripts

An NLP model that understands stories should be able to understand the c...

0 Yisi Sang, et al. ∙

research

∙ 10/15/2022

Revisiting the Roles of "Text" in Text Games

Text games present opportunities for natural language understanding (NLU...

9 Yi Gu, et al. ∙

research

∙ 05/29/2022

Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition

We propose novel AI-empowered chat bots for learning as conversation whe...

0 Pengshan Cai, et al. ∙

research

∙ 04/30/2022

A Survey of Machine Narrative Reading Comprehension Assessments

As the body of research on machine narrative comprehension grows, there ...

0 Yisi Sang, et al. ∙

research

∙ 04/22/2022

FaithDial: A Faithful Benchmark for Information-Seeking Dialogue

The goal of information-seeking dialogue is to respond to seeker queries...

6 Nouha Dziri, et al. ∙

research

∙ 04/17/2022

On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?

Knowledge-grounded conversational models are known to suffer from produc...

7 Nouha Dziri, et al. ∙

research

∙ 04/16/2022

TVShowGuess: Character Comprehension in Stories as Speaker Guessing

We propose a new task for assessing machines' skills of understanding fi...

9 Yisi Sang, et al. ∙

research

∙ 04/16/2022

Probing Script Knowledge from Pre-Trained Models

Script knowledge is critical for humans to understand the broad daily ta...

0 Zijian Jin, et al. ∙

research

∙ 04/14/2022

The Art of Prompting: Event Detection based on Type Specific Prompts

We compare various forms of prompts to represent event types and develop...

0 Sijia Wang, et al. ∙

research

∙ 03/27/2022

Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-Centric Summarization

Generating educational questions of fairytales or storybooks is vital fo...

0 Zhenjie Zhao, et al. ∙

research

∙ 03/26/2022

Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension

Question answering (QA) is a fundamental means to facilitate assessment ...

18 Ying Xu, et al. ∙

research

∙ 03/15/2022

Efficient Long Sequence Encoding via Synchronization

Pre-trained Transformer models have achieved successes in a wide range o...

0 Xiangyang Mou, et al. ∙

research

∙ 02/13/2022

StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement

Despite its benefits for children's skill development and parent-child b...

1 Zheng Zhang, et al. ∙

research

∙ 10/26/2021

Understanding Interlocking Dynamics of Cooperative Rationalization

Selective rationalization explains the prediction of complex neural netw...

0 Mo Yu, et al. ∙

research

∙ 10/14/2021

Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding

Event extraction is typically modeled as a multi-class classification pr...

0 Sijia Wang, et al. ∙

research

∙ 10/13/2021

Feudal Reinforcement Learning by Reading Manuals

Reading to act is a prevalent but challenging task which requires the ab...

0 Kai Wang, et al. ∙

research

∙ 09/08/2021

It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset

Existing question answering (QA) datasets are created mainly for the app...

30 Bingsheng Yao, et al. ∙

research

∙ 07/21/2021

Improved Text Classification via Contrastive Adversarial Training

We propose a simple and general method to regularize the fine-tuning of ...

0 Lin Pan, et al. ∙

research

∙ 06/07/2021

Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study

Recent advancements in open-domain question answering (ODQA), i.e., find...

0 Xiangyang Mou, et al. ∙

research

∙ 03/22/2021

Complementary Evidence Identification in Open-Domain Question Answering

This paper proposes a new problem of complementary evidence identificati...

4 Xiangyang Mou, et al. ∙

research

∙ 01/04/2021

CASS: Towards Building a Social-Support Chatbot for Online Health Community

Chatbots systems, despite their popularity in today's HCI and CSCW resea...

7 Liuping Wang, et al. ∙

research

∙ 12/03/2020

Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning

Knowledge base question answering (KBQA) is an important task in Natural...

3 Pavan Kapanipathi, et al. ∙

research

∙ 11/23/2020

Interpretable Visual Reasoning via Induced Symbolic Space

We study the problem of concept induction in visual reasoning, i.e., ide...

2 Zhonghao Wang, et al. ∙

research

∙ 10/23/2020

Multilingual BERT Post-Pretraining Alignment

We propose a simple method to align multilingual contextual embeddings a...

6 Lin Pan, et al. ∙

research

∙ 10/19/2020

Deriving Commonsense Inference Tasks from Interactive Fictions

Commonsense reasoning simulates the human ability to make presumptions a...

0 Mo Yu, et al. ∙

research

∙ 10/05/2020

Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning

Interactive Fiction (IF) games with real human-written natural language ...

4 Xiaoxiao Guo, et al. ∙

research

∙ 10/05/2020

MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning

Multi-hop reasoning approaches over knowledge graphs infer a missing rel...

28 Lu Zhang, et al. ∙

research

∙ 09/16/2020

Leveraging Semantic Parsing for Relation Linking over Knowledge Bases

Knowledgebase question answering systems are heavily dependent on relati...

0 Nandana Mihindukulasooriya, et al. ∙

research

∙ 07/20/2020

Frustratingly Hard Evidence Retrieval for QA Over Books

A lot of progress has been made to improve question answering (QA) in re...

0 Xiangyang Mou, et al. ∙

research

∙ 04/06/2020

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games

We propose the new problem of learning to recover reasoning chains from ...

0 Yufei Feng, et al. ∙

research

∙ 03/22/2020

Invariant Rationalization

Selective rationalization improves neural network interpretability by id...

5 Shiyu Chang, et al. ∙

research

∙ 03/18/2020

Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation

We consider the problem of unsupervised domain adaptation for semantic s...

2 Zhonghao Wang, et al. ∙

research

∙ 11/19/2019

Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning

This paper considers the problem of resource allocation in stream proces...

0 Xiang Ni, et al. ∙

research

∙ 11/11/2019

Leveraging Dependency Forest for Neural Medical Relation Extraction

Medical relation extraction discovers relations between entity mentions ...

0 Linfeng Song, et al. ∙

research

∙ 10/31/2019

Do Multi-hop Readers Dream of Reasoning Chains?

General Question Answering (QA) systems over texts require the multi-hop...

0 Haoyu Wang, et al. ∙

research

∙ 10/29/2019

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control

Selective rationalization has become a common mechanism to ensure that p...

0 Mo Yu, et al. ∙

research

∙ 10/28/2019

A Game Theoretic Approach to Class-wise Selective Rationalization

Selection of input features such as relevant pieces of text has become a...

13 Shiyu Chang, et al. ∙

research

∙ 10/01/2019

An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack

There are two major paradigms of white-box adversarial attacks that atte...

11 Yang Zhang, et al. ∙

research

∙ 09/17/2019

Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering

Multi-hop question answering (QA) requires an information retrieval (IR)...

0 Ameya Godbole, et al. ∙

research

∙ 09/17/2019

Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering

A key challenge of multi-hop question answering (QA) in the open-domain ...

0 Wenhan Xiong, et al. ∙

research

∙ 09/13/2019

Towards Open-Domain Named Entity Recognition via Neural Correction Models

Named Entity Recognition (NER) plays an important role in a wide range o...

0 Mengdi Zhu, et al. ∙

research

∙ 08/13/2019

Meta Reasoning over Knowledge Graphs

The ability to reason over learned knowledge is an innate ability for hu...

0 Hong Wang, et al. ∙

research

∙ 07/19/2019

Multi-Granular Text Encoding for Self-Explaining Categorization

Self-explaining text categorization requires a classifier to make a pred...

0 Zhiguo Wang, et al. ∙

research

∙ 07/14/2019

TWEETQA: A Social Media Focused Question Answering Dataset

With social media becoming increasingly pop-ular on which lots of news a...

0 Wenhan Xiong, et al. ∙

Mo Yu

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