146 citations
- Centre National de la Recherche ScientifiqueFR9 papers
- European Organization for Nuclear ResearchCH9 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di CataniaIT9 papers
- Heidelberg UniversityDE7 papers
- Rutherford Appleton LaboratoryGB7 papers
- Imperial College LondonGB6 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR6 papers
- Laboratoire d’Annecy de Physique des ParticulesFR6 papers
- Tunis UniversityTN6 papers
- Harvard UniversityUS5 papers
- University of GenevaCH5 papers
- Fermi National Accelerator LaboratoryUS4 papers
5 papers · 1 filter
A Small Claims Court for the NLP: Judging Legal Text Classification Strategies With Small Datasets
Mariana Yukari Noguti, Edduardo Vellasques, Luiz Eduardo Soares Oliveira
Recent advances in language modelling has significantly decreased the need of labelled data in text classification tasks. Transformer-based models, pre-trained on unlabeled data, c…
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
Georg Rehm, Katrin Marheinecke, Stefanie Hegele +44
Multilingualism is a cultural cornerstone of Europe and firmly anchored in the European treaties including full language equality. However, language barriers impacting business, cr…
KGvec2go -- Knowledge Graph Embeddings as a Service
Jan Portisch, Michael Hladik, Heiko Paulheim
In this paper, we present KGvec2go, a Web API for accessing and consuming graph embeddings in a light-weight fashion in downstream applications. Currently, we serve pre-trained emb…
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification
Ruidan He, Wee Sun Lee, Hwee Tou Ng +1
We consider the cross-domain sentiment classification problem, where a sentiment classifier is to be learned from a source domain and to be generalized to a target domain. Our appr…
Exploiting Document Knowledge for Aspect-level Sentiment Classification
Ruidan He, Wee Sun Lee, Hwee Tou Ng +1
Attention-based long short-term memory (LSTM) networks have proven to be useful in aspect-level sentiment classification. However, due to the difficulties in annotating aspect-leve…