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05/17/2023
Personality Understanding of Fictional Characters during Book Reading
Comprehending characters' personalities is a crucial aspect of story rea...
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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...
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03/28/2023
Explicit Planning Helps Language Models in Logical Reasoning
Language models have been shown to perform remarkably well on a wide ran...
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01/28/2023
MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics
Gradient-based meta-learning methods have primarily been applied to clas...
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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...
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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...
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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...
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10/15/2022
Revisiting the Roles of "Text" in Text Games
Text games present opportunities for natural language understanding (NLU...
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05/29/2022
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition
We propose novel AI-empowered chat bots for learning as conversation whe...
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04/30/2022
A Survey of Machine Narrative Reading Comprehension Assessments
As the body of research on machine narrative comprehension grows, there ...
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04/22/2022
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue
The goal of information-seeking dialogue is to respond to seeker queries...
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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...
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04/16/2022
TVShowGuess: Character Comprehension in Stories as Speaker Guessing
We propose a new task for assessing machines' skills of understanding fi...
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04/16/2022
Probing Script Knowledge from Pre-Trained Models
Script knowledge is critical for humans to understand the broad daily ta...
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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...
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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...
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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 ...
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03/15/2022
Efficient Long Sequence Encoding via Synchronization
Pre-trained Transformer models have achieved successes in a wide range o...
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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...
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10/26/2021
Understanding Interlocking Dynamics of Cooperative Rationalization
Selective rationalization explains the prediction of complex neural netw...
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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...
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10/13/2021
Feudal Reinforcement Learning by Reading Manuals
Reading to act is a prevalent but challenging task which requires the ab...
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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...
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07/21/2021
Improved Text Classification via Contrastive Adversarial Training
We propose a simple and general method to regularize the fine-tuning of ...
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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...
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03/22/2021
Complementary Evidence Identification in Open-Domain Question Answering
This paper proposes a new problem of complementary evidence identificati...
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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...
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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...
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11/23/2020
Interpretable Visual Reasoning via Induced Symbolic Space
We study the problem of concept induction in visual reasoning, i.e., ide...
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10/23/2020
Multilingual BERT Post-Pretraining Alignment
We propose a simple method to align multilingual contextual embeddings a...
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10/19/2020
Deriving Commonsense Inference Tasks from Interactive Fictions
Commonsense reasoning simulates the human ability to make presumptions a...
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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 ...
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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...
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09/16/2020
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases
Knowledgebase question answering systems are heavily dependent on relati...
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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...
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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 ...
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03/22/2020
Invariant Rationalization
Selective rationalization improves neural network interpretability by id...
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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...
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11/19/2019
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
This paper considers the problem of resource allocation in stream proces...
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11/11/2019
Leveraging Dependency Forest for Neural Medical Relation Extraction
Medical relation extraction discovers relations between entity mentions ...
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10/31/2019
Do Multi-hop Readers Dream of Reasoning Chains?
General Question Answering (QA) systems over texts require the multi-hop...
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10/29/2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control
Selective rationalization has become a common mechanism to ensure that p...
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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...
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10/01/2019
An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack
There are two major paradigms of white-box adversarial attacks that atte...
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09/17/2019
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering
Multi-hop question answering (QA) requires an information retrieval (IR)...
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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 ...
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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...
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08/13/2019
Meta Reasoning over Knowledge Graphs
The ability to reason over learned knowledge is an innate ability for hu...
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07/19/2019
Multi-Granular Text Encoding for Self-Explaining Categorization
Self-explaining text categorization requires a classifier to make a pred...
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07/14/2019