research
∙
05/26/2023
Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction
Class-incremental learning (CIL) aims to develop a learning system that ...
share
research
∙
05/24/2023
The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning
Chain-of-Thought prompting (CoT) enables large-scale language models to ...
research
∙
05/24/2023
AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes
We propose attribute-aware multimodal entity linking, where the input is...
research
∙
05/24/2023
Iteratively Improving Biomedical Entity Linking and Event Extraction via Hard Expectation-Maximization
Biomedical entity linking and event extraction are two crucial tasks to ...
research
∙
05/24/2023
RE^2: Region-Aware Relation Extraction from Visually Rich Documents
Current research in form understanding predominantly relies on large pre...
research
∙
04/26/2023
Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking
Open domain entity state tracking aims to predict reasonable state chang...
research
∙
01/21/2023
ExClaim: Explainable Neural Claim Verification Using Rationalization
With the advent of deep learning, text generation language models have i...
research
∙
01/21/2023
Rationalization for Explainable NLP: A Survey
Recent advances in deep learning have improved the performance of many N...
research
∙
12/21/2022
MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning
Instruction tuning, a new learning paradigm that fine-tunes pre-trained ...
research
∙
10/26/2022
MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective
Teaching neural models to generate narrative coherent texts is a critica...
research
∙
08/25/2022
Multimedia Generative Script Learning for Task Planning
Goal-oriented generative script learning aims to generate subsequent ste...
research
∙
05/25/2022
Improve Event Extraction via Self-Training with Gradient Guidance
Data scarcity and imbalance have been the main factors that hinder the p...
research
∙
05/25/2022
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models
We propose the end-to-end multimodal fact-checking and explanation gener...
research
∙
04/16/2022
Probing Script Knowledge from Pre-Trained Models
Script knowledge is critical for humans to understand the broad daily ta...
research
∙
04/15/2022
Identifying and Measuring Token-Level Sentiment Bias in Pre-trained Language Models with Prompts
Due to the superior performance, large-scale pre-trained language models...
research
∙
04/15/2022
Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection
Lifelong event detection aims to incrementally update a model with new e...
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...
research
∙
03/17/2022
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation
Federated Learning (FL) on knowledge graphs (KGs) has yet to be as well ...
research
∙
03/17/2022
PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation
Despite recent progress of pre-trained language models on generating flu...
research
∙
03/15/2022
Efficient Long Sequence Encoding via Synchronization
Pre-trained Transformer models have achieved successes in a wide range o...
research
∙
01/18/2022
Inferring Commonsense Explanations as Prompts for Future Event Generation
Future Event Generation aims to generate fluent and reasonable future ev...
research
∙
12/20/2021
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding
Recently, there has been an increasing interest in building question ans...
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...
research
∙
07/26/2021
How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction
Knowledge Graph (KG) and attention mechanism have been demonstrated effe...
research
∙
04/19/2021
Extracting Temporal Event Relation with Syntactic-Guided Temporal Graph Transformer
Extracting temporal relations (e.g., before, after, concurrent) among ev...
research
∙
04/13/2021
Future is not One-dimensional: Graph Modeling based Complex Event Schema Induction for Event Prediction
Event schemas encode knowledge of stereotypical structures of events and...
research
∙
10/19/2020
Global Attention for Name Tagging
Many name tagging approaches use local contextual information with much ...
research
∙
10/13/2020
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis
To assist human review process, we build a novel ReviewRobot to automati...
research
∙
08/31/2019
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning
Understanding narratives requires reading between the lines, which in tu...
research
∙
05/20/2019
PaperRobot: Incremental Draft Generation of Scientific Ideas
We present a PaperRobot who performs as an automatic research assistant ...
research
∙
09/06/2018
Describing a Knowledge Base
We aim to automatically generate natural language descriptions about an ...
research
∙
09/06/2018
Narrating a Knowledge Base
We aim to automatically generate natural language narratives about an in...
research
∙
05/17/2018
Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension
We present a new dataset and models for comprehending paragraphs about p...
research
∙
05/15/2018
Paper Abstract Writing through Editing Mechanism
We present a paper abstract writing system based on an attentive neural ...
research
∙
04/21/2018
Entity-aware Image Caption Generation
Image captioning approaches currently generate descriptions which lack s...
research
∙
04/21/2018
Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding
We construct a multilingual common semantic space based on distributiona...
research
∙
10/13/2017
Learning Phrase Embeddings from Paraphrases with GRUs
Learning phrase representations has been widely explored in many Natural...
research
∙
07/04/2017
Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures
Slot Filling (SF) aims to extract the values of certain types of attribu...
research
∙
07/04/2017
Zero-Shot Transfer Learning for Event Extraction
Most previous event extraction studies have relied heavily on features d...
research
∙
03/10/2016