NLPExplorer

Mo Yu

Number of Papers:- 70

Number of Citations:- 219

First ACL Paper:- 2011

Latest ACL Paper:- 2024

Venues:-

NUSE

NAACL

CoNLL

COLING

EMNLP

Findings

RANLP

TACL

ACL

EACL

GEM

IJCNLP

Co-Authors:-

Abhishek Shah

Abhishek Singhal

Achille Fokoue Nkoutche

Alexander Gray

Alfio Gliozzo

Similar Authors:-

On Large Language Models’ Hallucination with Regard to Known Facts NAACL

An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation TACL

Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions ACL

Liyan Xu | Jiangnan Li | Mo Yu | Jie Zhou |

Plot Retrieval as an Assessment of Abstract Semantic Association ACL

Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation ACL

Rethinking the Evaluation of In-Context Learning for LLMs EMNLP

Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy F i n d i n g s - E M N L P

On the token distance modeling ability of higher RoPE attention dimension F i n d i n g s - E M N L P

Explicit Planning Helps Language Models in Logical Reasoning EMNLP

Hongyu Zhao | Kangrui Wang | Mo Yu | Hongyuan Mei |

JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions F i n d i n g s - A C L

Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension F i n d i n g s - A C L

Personality Understanding of Fictional Characters during Book Reading ACL

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

Sijia Wang | Mo Yu | Lifu Huang |

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

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

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

It is AI’s Turn to Ask Humans a Question: Question-Answer Pair Generation for Children’s Story Books ACL

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

TVShowGuess: Character Comprehension in Stories as Speaker Guessing NAACL

Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition NAACL

MBTI Personality Prediction for Fictional Characters Using Movie Scripts F i n d i n g s - E M N L P

Revisiting the Roles of “Text” in Text Games F i n d i n g s - E M N L P

Generating Coherent Narratives with Subtopic Planning to Answer How-to Questions GEM

Pengshan Cai | Mo Yu | Fei Liu | Hong Yu |

FaithDial: A Faithful Benchmark for Information-Seeking Dialogue TACL

Complementary Evidence Identification in Open-Domain Question Answering EACL

Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations NAACL

Multilingual BERT Post-Pretraining Alignment NAACL

Leveraging Abstract Meaning Representation for Knowledge Base Question Answering Findings

Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport EMNLP

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

Frustratingly Hard Evidence Retrieval for QA Over Books ACL NUSE WS

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

Lu Zhang | Mo Yu | Tian Gao | Yue Yu |

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

Leveraging Dependency Forest for Neural Medical Relation Extraction EMNLP

Out-of-Domain Detection for Low-Resource Text Classification Tasks EMNLP

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control EMNLP

Mo Yu | Shiyu Chang | Yang Zhang | Tommi Jaakkola |

Context-Aware Conversation Thread Detection in Multi-Party Chat EMNLP

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

Do Multi-hop Readers Dream of Reasoning Chains? EMNLP WS

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

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing NAACL

Sentence Embedding Alignment for Lifelong Relation Extraction NAACL

Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers ACL

Self-Supervised Learning for Contextualized Extractive Summarization ACL

Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network ACL

Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader ACL

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets ACL

TWEETQA: A Social Media Focused Question Answering Dataset ACL

Multi-Granular Text Encoding for Self-Explaining Categorization ACL WS

NE-Table: A Neural key-value table for Named Entities RANLP

Improving Reinforcement Learning Based Image Captioning with Natural Language Prior EMNLP

Tszhang Guo | Shiyu Chang | Mo Yu | Kun Bai |

Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model EMNLP

Deriving Machine Attention from Human Rationales EMNLP

Yujia Bao | Shiyu Chang | Mo Yu | Regina Barzilay |

One-Shot Relational Learning for Knowledge Graphs EMNLP

Diverse Few-Shot Text Classification with Multiple Metrics NAACL

A Co-Matching Model for Multi-choice Reading Comprehension ACL

Shuohang Wang | Mo Yu | Jing Jiang | Shiyu Chang |

Improved Neural Relation Detection for Knowledge Base Question Answering ACL

Simple Question Answering by Attentive Convolutional Neural Network COLING

Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling EMNLP

Gakuto Kurata | Bing Xiang | Bowen Zhou | Mo Yu |

Embedding Lexical Features via Low-Rank Tensors NAACL

Mo Yu | Mark Dredze | Raman Arora | Matthew R. Gormley |

Improved Relation Extraction with Feature-Rich Compositional Embedding Models EMNLP

Matthew R. Gormley | Mo Yu | Mark Dredze |

Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction NAACL

Mo Yu | Matthew R. Gormley | Mark Dredze |

A Concrete Chinese NLP Pipeline NAACL

An Empirical Study of Chinese Name Matching and Applications ACL IJCNLP

Nanyun Peng | Mo Yu | Mark Dredze |

Learning Composition Models for Phrase Embeddings TACL

Mo Yu | Mark Dredze |

Improving Lexical Embeddings with Semantic Knowledge ACL

Mo Yu | Mark Dredze |

Compound Embedding Features for Semi-supervised Learning NAACL

Cross-lingual Projections between Languages from Different Families ACL

Locally Training the Log-Linear Model for SMT CoNLL EMNLP

Target-dependent Twitter Sentiment Classification ACL