--- title: "Workshop on Continuous Vector Space Models and their" description: "Workshop on Continuous Vector Space Models and their Compositionality 2015 — accepted papers: 1 paper in the Elamur Research library…" canonical: "https://research.elamur.ai/free/en/venues/workshop-on-continuous-vector-space-models-and-their-compositionality/2015/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/workshop-on-continuous-vector-space-models-and-their-compositionality/2015/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Workshop on Continuous Vector Space…](https://md.research.elamur.ai/free/en/venues/workshop-on-continuous-vector-space-models-and-their-compositionality/) / 2015 # Workshop on Continuous Vector Space Models and their Compositionality 2015 — accepted papers Workshop on Continuous Vector Space Models and their Compositionality 2015 is the 2015 edition of the Workshop on Continuous Vector Space Models and their Compositionality, held in Beijing, China, July 2015 (publisher: Association for Computational Linguistics). OpenAlex lists 7 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions. [**7** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/workshop-on-continuous-vector-space-models-and-their-compositionality/2015/#works) · [**1,238** citations of these works](https://md.research.elamur.ai/free/en/venues/workshop-on-continuous-vector-space-models-and-their-compositionality/2015/#works)**Beijing, China** where it was held**July 2015** when ## Most cited papers By their OpenAlex citations; a paper with our summary links to its page here, the others to the original. 1. **[Observed versus latent features for knowledge base and text inference](https://md.research.elamur.ai/free/en/papers/toutanova-2015-observed-versus-latent-features-knowledge/)**Kristina Toutanova, Danqi Chen*1,025 citations · our summary* 2. **[Recursive Neural Networks Can Learn Logical Semantics ↗](https://aclanthology.org/W15-4002/)**Samuel R. Bowman, Christopher Potts, Christopher D. Manning*117 citations* 3. **[Joint Semantic Relevance Learning with Text Data and Graph Knowledge ↗](https://aclanthology.org/W15-4004/)**Dongxu Zhang, Bin Yuan, Dong Wang et al.*39 citations* 4. **[Incremental Adaptation Strategies for Neural Network Language Models ↗](https://aclanthology.org/W15-4006/)**Alex Ter-Sarkisov, Holger Schwenk, Fethi Bougares et al.*30 citations* 5. **[Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization ↗](https://aclanthology.org/W15-4001/)**Kazuma Hashimoto, Yoshimasa Tsuruoka*13 citations* ## All accepted papers (7) The most cited first; 1 with our summary link to their page here, the others to the original. 1. **[Observed versus latent features for knowledge base and text inference](https://md.research.elamur.ai/free/en/papers/toutanova-2015-observed-versus-latent-features-knowledge/)**Kristina Toutanova, Danqi Chen*1,025 citations · our summary* 2. **[Recursive Neural Networks Can Learn Logical Semantics ↗](https://aclanthology.org/W15-4002/)**Samuel R. Bowman, Christopher Potts, Christopher D. Manning*117 citations* 3. **[Joint Semantic Relevance Learning with Text Data and Graph Knowledge ↗](https://aclanthology.org/W15-4004/)**Dongxu Zhang, Bin Yuan, Dong Wang et al.*39 citations* 4. **[Incremental Adaptation Strategies for Neural Network Language Models ↗](https://aclanthology.org/W15-4006/)**Alex Ter-Sarkisov, Holger Schwenk, Fethi Bougares et al.*30 citations* 5. **[Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization ↗](https://aclanthology.org/W15-4001/)**Kazuma Hashimoto, Yoshimasa Tsuruoka*13 citations* 6. **[Concept Extensions as the Basis for Vector-Space Semantics: Combining Distributional and Ontological Information about Entities ↗](https://aclanthology.org/W15-4003/)**Jackie Chi Kit Cheung 7. **[Exploring the effect of semantic similarity for Phrase-based Machine Translation ↗](https://aclanthology.org/W15-4005/)**Kunal Sachdeva, Dipti Sharma ## Papers with our summary in our library (1) The most cited first (OpenAlex citations plus our library's). 1. **[Observed versus latent features for knowledge base and text inference](https://md.research.elamur.ai/free/en/papers/toutanova-2015-observed-versus-latent-features-knowledge/) [Workshop on Continuous Vector Space Models and their Compositionality](https://md.research.elamur.ai/free/en/venues/workshop-on-continuous-vector-space-models-and-their-compositionality/)**Kristina Toutanova, Danqi Chen*2015 · 1,238 citations* ## Top topics Topics of its works in our library, with the number of works on each. [Knowledge graphs & ontologies (1)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) ## Fields [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Danqi Chen**1 work here · 1,238 citations](https://md.research.elamur.ai/free/en/authors/danqi-chen/) · [🧑‍🔬**Kristina Toutanova**1 work here · 1,238 citations](https://md.research.elamur.ai/free/en/authors/kristina-toutanova/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🏢**Microsoft** Redmond · United States 1 work here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Stanford University** Stanford · United States 1 work here](https://md.research.elamur.ai/free/en/universities/stanford-university/) Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library. - [← previous Workshop on Continuous Vector Space Models and their Compositionality 2014](https://md.research.elamur.ai/free/en/venues/workshop-on-continuous-vector-space-models-and-their-compositionality/2014/) - [↑ back to Workshop on Continuous Vector Space Models and their Compositionality](https://md.research.elamur.ai/free/en/venues/workshop-on-continuous-vector-space-models-and-their-compositionality/)