Search Results for author:
Found 7 papers, 6 papers with code
FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation
To better extract detail spatial information, we propose a two-stage Feature-Enhanced Attention Network (FEANet) for the RGB-T semantic segmentation task.
Ranked #10 on
Semantic Segmentation
on FMB Dataset
Revisiting Challenges in Data-to-Text Generation with Fact Grounding
Data-to-text generation models face challenges in ensuring data fidelity by referring to the correct input source.
TabFact: A Large-scale Dataset for Table-based Fact Verification
To this end, we construct a large-scale dataset called TabFact with 16k Wikipedia tables as the evidence for 118k human-annotated natural language statements, which are labeled as either ENTAILED or REFUTED.
Ranked #10 on
Table-based Fact Verification
on TabFact
A Rank-Based Similarity Metric for Word Embeddings
Word Embeddings have recently imposed themselves as a standard for representing word meaning in NLP.
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation
In this paper, we take a radical approach to bridge the gap between synthetic studies and real-world practices---We propose a novel, planned-ahead hybrid reinforcement learning model that combines model-free and model-based reinforcement learning to solve a real-world vision-language navigation task.
Model-based Reinforcement Learning
reinforcement-learning
+4
Universal Dependencies Parsing for Colloquial Singaporean English
Singlish can be interesting to the ACL community both linguistically as a major creole based on English, and computationally for information extraction and sentiment analysis of regional social media.
