DE eng

Search in the Catalogues and Directories

Page: 1 2
Hits 1 – 20 of 36

1
Pairwise embedding for event coreference resolution
Hu, Yanda. - 2022
BASE
Show details
2
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ...
BASE
Show details
3
Joint Detection and Coreference Resolution of Entities and Events with Document-level Context Aggregation ...
BASE
Show details
4
Stage-wise Fine-tuning for Graph-to-Text Generation ...
BASE
Show details
5
HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction ...
BASE
Show details
6
Lifelong Event Detection with Knowledge Transfer ...
BASE
Show details
7
InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection ...
BASE
Show details
8
Learning Shared Semantic Space for Speech-to-Text Translation ...
BASE
Show details
9
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference ...
BASE
Show details
10
Event-Centric Natural Language Processing ...
BASE
Show details
11
The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction ...
BASE
Show details
12
VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension ...
BASE
Show details
13
Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation ...
BASE
Show details
14
Coreference by Appearance: Visually Grounded Event Coreference Resolution ...
BASE
Show details
15
Learning speech embeddings for speaker adaptation and speech understanding
Sari, Leda. - 2021
BASE
Show details
16
Text Classification Using Label Names Only: A Language Model Self-Training Approach ...
Meng, Yu; Zhang, Yunyi; Huang, Jiaxin. - : arXiv, 2020
BASE
Show details
17
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation ...
Abstract: To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant biomedical knowledge in scientific literature to understand the disease mechanism and related biological functions. We have developed a novel and comprehensive knowledge discovery framework, COVID-KG to extract fine-grained multimedia knowledge elements (entities and their visual chemical structures, relations, and events) from scientific literature. We then exploit the constructed multimedia knowledge graphs (KGs) for question answering and report generation, using drug repurposing as a case study. Our framework also provides detailed contextual sentences, subfigures, and knowledge subgraphs as evidence. ... : 12 pages, Accepted by Proceedings of 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics System Demonstrations, for resources see http://blender.cs.illinois.edu/covid19/, for video see http://159.89.180.81/demo/covid/Covid-KG_DemoVideo.mp4, for slides see https://eaglew.github.io/files/Covid-KG_DemoVideo_with_ethics.pdf ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2007.00576
https://dx.doi.org/10.48550/arxiv.2007.00576
BASE
Hide details
18
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation ...
Mao, Yuning; Ren, Xiang; Ji, Heng. - : arXiv, 2020
BASE
Show details
19
Learning from Lexical Perturbations for Consistent Visual Question Answering ...
BASE
Show details
20
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding ...
Shen, Jiaming; Ji, Heng; Han, Jiawei. - : arXiv, 2020
BASE
Show details

Page: 1 2

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
36
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern