44 citations · 223 across the 14 of their papers we have counts for
14 papers
Multimedia Generative Script Learning for Task Planning
Qingyun Wang, Manling Li, Hou Pong Chan +4
Goal-oriented generative script learning aims to generate subsequent steps to reach a particular goal, which is an essential task to assist robots or humans in performing stereotyp…
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding
Revanth Gangi Reddy, Xilin Rui, Manling Li +9
Recently, there has been an increasing interest in building question answering (QA) models that reason across multiple modalities, such as text and images. However, QA using images…
The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction
Manling Li, Sha Li, Zhenhailong Wang +5
Event schemas encode knowledge of stereotypical structures of events and their connections. As events unfold, schemas are crucial to act as a scaffolding. Previous work on event sc…
Global Attention for Name Tagging
Boliang Zhang, Spencer Whitehead, Lifu Huang +1
Many name tagging approaches use local contextual information with much success, but fail when the local context is ambiguous or limited. We present a new framework to improve name…
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis
Qingyun Wang, Qi Zeng, Lifu Huang +3
To assist human review process, we build a novel ReviewRobot to automatically assign a review score and write comments for multiple categories such as novelty and meaningful compar…
PaperRobot: Incremental Draft Generation of Scientific Ideas
Qingyun Wang, Lifu Huang, Zhiying Jiang +4
We present a PaperRobot who performs as an automatic research assistant by (1) conducting deep understanding of a large collection of human-written papers in a target domain and co…
Describing a Knowledge Base
Qingyun Wang, Xiaoman Pan, Lifu Huang +4
We aim to automatically generate natural language descriptions about an input structured knowledge base (KB). We build our generation framework based on a pointer network which can…
Paper Abstract Writing through Editing Mechanism
Qingyun Wang, Zhihao Zhou, Lifu Huang +4
We present a paper abstract writing system based on an attentive neural sequence-to-sequence model that can take a title as input and automatically generate an abstract. We design…
Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding
Lifu Huang, Kyunghyun Cho, Boliang Zhang +2
We construct a multilingual common semantic space based on distributional semantics, where words from multiple languages are projected into a shared space to enable knowledge and r…
Entity-aware Image Caption Generation
Di Lu, Spencer Whitehead, Lifu Huang +2
Current image captioning approaches generate descriptions which lack specific information, such as named entities that are involved in the images. In this paper we propose a new ta…
Learning Phrase Embeddings from Paraphrases with GRUs
Zhihao Zhou, Lifu Huang, Heng Ji
Learning phrase representations has been widely explored in many Natural Language Processing (NLP) tasks (e.g., Sentiment Analysis, Machine Translation) and has shown promising imp…
Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures
Lifu Huang, Avirup Sil, Heng Ji +1
Slot Filling (SF) aims to extract the values of certain types of attributes (or slots, such as person:cities\_of\_residence) for a given entity from a large collection of source do…
Zero-Shot Transfer Learning for Event Extraction
Lifu Huang, Heng Ji, Kyunghyun Cho +1
Most previous event extraction studies have relied heavily on features derived from annotated event mentions, thus cannot be applied to new event types without annotation effort. I…
Building a Fine-Grained Entity Typing System Overnight for a New X (X = Language, Domain, Genre)
Lifu Huang, Jonathan May, Xiaoman Pan +1
Recent research has shown great progress on fine-grained entity typing. Most existing methods require pre-defining a set of types and training a multi-class classifier from a large…