Spain

ECAI 2020

Span-based Joint Entity and Relation Extraction with Transformer Pre-training

transfer-learning

joint entity and relation extraction

span-based

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

stages 

COLING, the International Conference on Computational Linguistics, is one of the premier conferences for natural language processing and computational linguistics. Often grouped within the field of artificial intelligence, but actually pre-dating the development of artificial intelligence, advances in computational linguistics and natural language processing are now some of the major drivers behind the use of artificial intelligence for commercial and social applications – for example, on-line search, machine translation and with voice-assisted conversational devices.

First established in 1965, the biennial COLING conference is held in diverse parts of the globe and attracts participants from both top-ranked research centers and emerging countries. Today, the most important developments in our field are taking place not only in universities and academic research institutes, but also in industrial research departments and in technological startups. COLING conferences provide opportunities for all these communities to showcase their exciting developments.

COLING 2020

technical paper

Modeling the Incongruity between Sentence  Snippets for Sarcasm Detection

Dynamics in Abstract Argumentation Frameworks with Recursive Attack and Support Relations

Analysis of reduced costs filtering for alldifferent and minimum weight alldifferent global constraints

Automatic Generation of Typicality Measures for Spatial Language in Grounded Settings

Speeding Up CDCL Inference With Duplicate Learnt Clauses

PushNet: Efficient and Adaptive Neural Message Passing

Point Cloud Segmentation with Deep Reinforcement Learning

Algebraic Circuits for Decision Theoretic Inference and Learning

AI Paradigms and AI Safety: Mapping Artefacts and Techniques to Safety Issues

Neighborhood-based Pooling for Population-level Label Distribution Learning

Span-based Joint Entity and Relation Extraction with Transformer Pre-training

Next from ECAI 2020

Modeling the Incongruity between Sentence Snippets for Sarcasm Detection

Similar lecture

TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking

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