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Found 8 papers, 4 papers with code
Hateful Memes Detection via Complementary Visual and Linguistic Networks
In order to further integrate modal information, we investigate a candidate solution based on complementary visual and linguistic network in Hateful Memes Challenge 2020.
Integrating External Event Knowledge for Script Learning
In the knowledge retrieval stage, we select relevant external event knowledge from ASER.
AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization
In this paper, a novel integration method called AutoSUM is proposed for automatic feature extraction and multi-user preference simulation to overcome the drawbacks of previous methods.
Pre-training Text Representations as Meta Learning
In this work, we introduce a learning algorithm which directly optimizes model's ability to learn text representations for effective learning of downstream tasks.
Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots
Existing works mainly focus on matching candidate responses with every context utterance on multiple levels of granularity, which ignore the side effect of using excessive context information.
Ranked #5 on
Conversational Response Selection
on RRS
ESA: Entity Summarization with Attention
Entity summarization aims at creating brief but informative descriptions of entities from knowledge graphs.
Pseudo-positive regularization for deep person re-identification
A small proportion of these retrieved samples are randomly selected as the Pseudo Positive samples and added to the target training set for the supervised CNN training.
Part-based Deep Hashing for Large-scale Person Re-identification
In the experiment, we show that the proposed Part-based Deep Hashing method yields very competitive re-id accuracy on the large-scale Market-1501 and Market-1501+500K datasets.
