--- title: "Workshop on Evaluating Vector Space Representations for NLP" description: "Workshop on Evaluating Vector Space Representations for NLP 2019 — accepted papers: 1 paper in the Elamur Research library…" canonical: "https://research.elamur.ai/free/en/venues/workshop-on-evaluating-vector-space-representations-for-nlp/2019/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/workshop-on-evaluating-vector-space-representations-for-nlp/2019/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Workshop on Evaluating Vector Space…](https://md.research.elamur.ai/free/en/venues/workshop-on-evaluating-vector-space-representations-for-nlp/) / 2019 # Workshop on Evaluating Vector Space Representations for NLP 2019 — accepted papers Workshop on Evaluating Vector Space Representations for NLP 2019 is the 2019 edition of the Workshop on Evaluating Vector Space Representations for NLP, held in Minneapolis, USA, June 2019 (publisher: Association for Computational Linguistics). OpenAlex lists 13 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. 📍 Minneapolis, [United States](https://md.research.elamur.ai/free/en/countries/united-states/) · 🗓 June 2019 [**13** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/workshop-on-evaluating-vector-space-representations-for-nlp/2019/#works) · [**90** citations of these works](https://md.research.elamur.ai/free/en/venues/workshop-on-evaluating-vector-space-representations-for-nlp/2019/#works) ## Most cited papers By their OpenAlex citations; a paper with our summary links to its page here, the others to the original. 1. **[Probing Biomedical Embeddings from Language Models ↗](https://aclanthology.org/W19-2011/)**Qiao Jin, Bhuwan Dhingra, William Cohen et al.*119 citations* 2. **[CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense](https://md.research.elamur.ai/free/en/papers/chen-2019-codah-adversarially-authored-question-answering/)**Michael Chen, Mike D'Arcy, Alisa Liu et al.*42 citations · our summary* 3. **[How Well Do Embedding Models Capture Non-compositionality? A View from Multiword Expressions ↗](https://aclanthology.org/W19-2004/)**Navnita Nandakumar, Timothy Baldwin, Bahar Salehi*22 citations* 4. **[Neural Vector Conceptualization for Word Vector Space Interpretation ↗](https://aclanthology.org/W19-2001/)**Robert Schwarzenberg, Lisa Raithel, David Harbecke*11 citations* 5. **[SWOW-8500: Word Association task for Intrinsic Evaluation of Word Embeddings ↗](https://aclanthology.org/W19-2006/)**Avijit Thawani, Biplav Srivastava, Anil Singh*10 citations* 6. **[The Influence of Down-Sampling Strategies on SVD Word Embedding Stability ↗](https://aclanthology.org/W19-2003/)**Johannes Hellrich, Bernd Kampe, Udo Hahn*7 citations* 7. **[Classification of Semantic Paraphasias: Optimization of a Word Embedding Model ↗](https://aclanthology.org/W19-2007/)**Katy McKinney-Bock, Steven Bedrick*6 citations* 8. **[Measuring Semantic Abstraction of Multilingual NMT with Paraphrase Recognition and Generation Tasks ↗](https://aclanthology.org/W19-2005/)**Jörg Tiedemann, Yves Scherrer*6 citations* 9. **[Dyr Bul Shchyl. Proxying Sound Symbolism With Word Embeddings ↗](https://aclanthology.org/W19-2012/)**Ivan P. Yamshchikov, Viascheslav Shibaev, Alexey Tikhonov*3 citations* 10. **[Evaluation of Morphological Embeddings for English and Russian Languages ↗](https://aclanthology.org/W19-2010/)**Vitaly Romanov, Albina Khusainova*3 citations* ## All accepted papers (13) The most cited first; 1 with our summary link to their page here, the others to the original. 1. **[Probing Biomedical Embeddings from Language Models ↗](https://aclanthology.org/W19-2011/)**Qiao Jin, Bhuwan Dhingra, William Cohen et al.*119 citations* 2. **[CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense](https://md.research.elamur.ai/free/en/papers/chen-2019-codah-adversarially-authored-question-answering/)**Michael Chen, Mike D'Arcy, Alisa Liu et al.*42 citations · our summary* 3. **[How Well Do Embedding Models Capture Non-compositionality? A View from Multiword Expressions ↗](https://aclanthology.org/W19-2004/)**Navnita Nandakumar, Timothy Baldwin, Bahar Salehi*22 citations* 4. **[Neural Vector Conceptualization for Word Vector Space Interpretation ↗](https://aclanthology.org/W19-2001/)**Robert Schwarzenberg, Lisa Raithel, David Harbecke*11 citations* 5. **[SWOW-8500: Word Association task for Intrinsic Evaluation of Word Embeddings ↗](https://aclanthology.org/W19-2006/)**Avijit Thawani, Biplav Srivastava, Anil Singh*10 citations* 6. **[The Influence of Down-Sampling Strategies on SVD Word Embedding Stability ↗](https://aclanthology.org/W19-2003/)**Johannes Hellrich, Bernd Kampe, Udo Hahn*7 citations* 7. **[Classification of Semantic Paraphasias: Optimization of a Word Embedding Model ↗](https://aclanthology.org/W19-2007/)**Katy McKinney-Bock, Steven Bedrick*6 citations* 8. **[Measuring Semantic Abstraction of Multilingual NMT with Paraphrase Recognition and Generation Tasks ↗](https://aclanthology.org/W19-2005/)**Jörg Tiedemann, Yves Scherrer*6 citations* 9. **[Dyr Bul Shchyl. Proxying Sound Symbolism With Word Embeddings ↗](https://aclanthology.org/W19-2012/)**Ivan P. Yamshchikov, Viascheslav Shibaev, Alexey Tikhonov*3 citations* 10. **[Evaluation of Morphological Embeddings for English and Russian Languages ↗](https://aclanthology.org/W19-2010/)**Vitaly Romanov, Albina Khusainova*3 citations* 11. **[Syntactic Interchangeability in Word Embedding Models ↗](https://aclanthology.org/W19-2009/)**Daniel Hershcovich, Assaf Toledo, Alon Halfon et al.*3 citations* 12. **[Characterizing the Impact of Geometric Properties of Word Embeddings on Task Performance ↗](https://aclanthology.org/W19-2002/)**Brendan Whitaker, Denis Newman-Griffis, Aparajita Haldar et al. 13. **[Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion ↗](https://aclanthology.org/W19-2013/)**Jonathan Mamou, Oren Pereg, Moshe Wasserblat et al. ## Papers with our summary in our library (1) The most cited first (OpenAlex citations plus our library's). 1. **[CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense](https://md.research.elamur.ai/free/en/papers/chen-2019-codah-adversarially-authored-question-answering/) [Workshop on Evaluating Vector Space Representations for NLP](https://md.research.elamur.ai/free/en/venues/workshop-on-evaluating-vector-space-representations-for-nlp/)**Michael Chen, Mike D'Arcy, Alisa Liu, et al.*2019 · 90 citations* ## Top topics Topics of its works in our library, with the number of works on each. [Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Fields [Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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. [🧑‍🔬**Alisa Liu**1 work here · 90 citations](https://md.research.elamur.ai/free/en/authors/alisa-liu/) · [🧑‍🔬**Doug Downey**1 work here · 90 citations](https://md.research.elamur.ai/free/en/authors/doug-downey/) · [🧑‍🔬**Jared Fernandez**1 work here · 90 citations](https://md.research.elamur.ai/free/en/authors/jared-fernandez/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**Northwestern University** Evanston · United States 1 work here](https://md.research.elamur.ai/free/en/universities/northwestern-university/) Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library. - [← previous Workshop on Evaluating Vector Space Representations for NLP 2017](https://md.research.elamur.ai/free/en/venues/workshop-on-evaluating-vector-space-representations-for-nlp/2017/) - [↑ back to Workshop on Evaluating Vector Space Representations for NLP](https://md.research.elamur.ai/free/en/venues/workshop-on-evaluating-vector-space-representations-for-nlp/)