Search Results for author:
Found 14 papers, 10 papers with code
A Lightweight Music Texture Transfer System
In this paper, we initiate a novel system for transferring the texture of music, and release it as an open source project.
Modeling relation paths for knowledge base completion via joint adversarial training
By treating relations and multi-hop paths as two different input sources, we use a feature extractor, which is shared by two downstream components (i. e. relation classifier and source discriminator), to capture shared/similar information between them.
Understanding Linearity of Cross-Lingual Word Embedding Mappings
The technique of Cross-Lingual Word Embedding (CLWE) plays a fundamental role in tackling Natural Language Processing challenges for low-resource languages.
Heuristic Semi-Supervised Learning for Graph Generation Inspired by Electoral College
Recently, graph-based algorithms have drawn much attention because of their impressive success in semi-supervised setups.
Summarising Historical Text in Modern Languages
We introduce the task of historical text summarisation, where documents in historical forms of a language are summarised in the corresponding modern language.
Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis
Knowledge Graph Embeddings (KGEs) have been intensively explored in recent years due to their promise for a wide range of applications.
Cross-Lingual Word Embedding Refinement by $\ell_{1}$ Norm Optimisation
It is therefore recommended that this strategy be adopted as a standard for CLWE methods.
Cross-Lingual Word Embedding Refinement by $\ell_1$ Norm Optimisation
It is therefore recommended that this strategy be adopted as a standard for CLWE methods.
On the Latent Holes 🧀 of VAEs for Text Generation
In this paper, we provide the first focused study on the discontinuities (aka.
On the Latent Holes of VAEs for Text Generation
In this paper, we provide the first focused study on the discontinuities (aka.
Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework that Works
Event Extraction bridges the gap between text and event signals.
On the Security Vulnerabilities of Text-to-SQL Models
Although it has been demonstrated that Natural Language Processing (NLP) algorithms are vulnerable to deliberate attacks, the question of whether such weaknesses can lead to software security threats is under-explored.
Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction
Multi-Modal Relation Extraction (MMRE) aims at identifying the relation between two entities in texts that contain visual clues.
PTVD: A Large-Scale Plot-Oriented Multimodal Dataset Based on Television Dramas
Art forms such as movies and television (TV) dramas are reflections of the real world, which have attracted much attention from the multimodal learning community recently.
