📰 Workshop on Evaluating Vector Space Representations for NLP 2016 — accepted papers

Workshop on Evaluating Vector Space Representations for NLP 2016 is the 2016 edition of the Workshop on Evaluating Vector Space Representations for NLP, held in Berlin, Germany, August 2016 (publisher: Association for Computational Linguistics). OpenAlex lists 26 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. Problems With Evaluation of Word Embeddings Using Word Similarity TasksManaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi et al.246 citations · our summary
2. Issues in evaluating semantic spaces using word analogies ↗Tal Linzen138 citations
3. Probing for semantic evidence of composition by means of simple classification tasksAllyson Ettinger, Ahmed Elgohary, Philip Resnik129 citations · our summary
4. Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance ↗Billy Chiu, Anna Korhonen, Sampo Pyysalo94 citations
5. Intrinsic Evaluations of Word Embeddings: What Can We Do Better? ↗Anna Gladkova, Aleksandr Drozd86 citations
6. A critique of word similarity as a method for evaluating distributional semantic models ↗Miroslav Batchkarov, Thomas Kober, Jeremy Reffin et al.58 citations
7. Evaluating Word Embeddings Using a Representative Suite of Practical Tasks ↗Neha Nayak Kennard, Gabor Angeli, Christopher D. Manning54 citations
8. Evaluating word embeddings with fMRI and eye-tracking ↗Anders Søgaard48 citations
9. Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens Next ↗Nasrin Mostafazadeh, Lucy Vanderwende, Wen-tau Yih et al.44 citations
10. Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector Representations ↗José Camacho-Collados, Roberto Navigli43 citations

All accepted papers (26)

The most cited first; 2 with our summary link to their page here, the others to the original.

1. Problems With Evaluation of Word Embeddings Using Word Similarity TasksManaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi et al.246 citations · our summary
2. Issues in evaluating semantic spaces using word analogies ↗Tal Linzen138 citations
3. Probing for semantic evidence of composition by means of simple classification tasksAllyson Ettinger, Ahmed Elgohary, Philip Resnik129 citations · our summary
4. Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance ↗Billy Chiu, Anna Korhonen, Sampo Pyysalo94 citations
5. Intrinsic Evaluations of Word Embeddings: What Can We Do Better? ↗Anna Gladkova, Aleksandr Drozd86 citations
6. A critique of word similarity as a method for evaluating distributional semantic models ↗Miroslav Batchkarov, Thomas Kober, Jeremy Reffin et al.58 citations
7. Evaluating Word Embeddings Using a Representative Suite of Practical Tasks ↗Neha Nayak Kennard, Gabor Angeli, Christopher D. Manning54 citations
8. Evaluating word embeddings with fMRI and eye-tracking ↗Anders Søgaard48 citations
9. Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens Next ↗Nasrin Mostafazadeh, Lucy Vanderwende, Wen-tau Yih et al.44 citations
10. Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector Representations ↗José Camacho-Collados, Roberto Navigli43 citations
11. Correlation-based Intrinsic Evaluation of Word Vector Representations ↗Yulia Tsvetkov, Manaal Faruqui, Chris Dyer24 citations
12. Thematic fit evaluation: an aspect of selectional preferences ↗Asad Sayeed, Clayton Greenberg, Vera Demberg22 citations
13. Evaluating vector space models using human semantic priming results ↗Allyson Ettinger, Tal Linzen17 citations
14. Improving Reliability of Word Similarity Evaluation by Redesigning Annotation Task and Performance Measure ↗Oded Avraham, Yoav Goldberg17 citations
15. Capturing Discriminative Attributes in a Distributional Space: Task Proposal ↗Alicia Krebs, Denis Paperno16 citations
16. Evaluating Embeddings using Syntax-based Classification Tasks as a Proxy for Parser Performance ↗Arne Köhn11 citations
17. Evaluation of acoustic word embeddings ↗Sahar Ghannay, Yannick Estève, Nathalie Camelin et al.10 citations
18. An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods ↗Farhana Ferdousi Liza, Marek Grześ8 citations
19. Evaluating embeddings on dictionary-based similarity ↗Judit Ács, András Kornai4 citations
20. Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation ↗Gábor Borbély, Márton Makrai, Dávid Márk Nemeskey et al.4 citations
21. Defining Words with Words: Beyond the Distributional Hypothesis ↗Iuliana-Elena Parasca, Andreas Lukas Rauter, Jack Roper et al.3 citations
22. Evaluating Informal-Domain Word Representations With UrbanDictionary ↗Naomi Saphra, Adam Lopez2 citations
23. Sentence Embedding Evaluation Using Pyramid Annotation ↗Tal Baumel, Raphael Cohen, Michael Elhadad2 citations
24. A Proposal for Linguistic Similarity Datasets Based on Commonality Lists ↗Dmitrijs Milajevs, Sascha Griffiths
25. SLEDDED: A Proposed Dataset of Event Descriptions for Evaluating Phrase Representations ↗Laura Rimell, Eva Maria Vecchi

See all 26 papers in Workshop on Evaluating Vector Space Representations for NLP 2016 — accepted papers →

📄 Papers with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

1. Problems With Evaluation of Word Embeddings Using Word Similarity TasksWorkshop on Evaluating Vector Space Representations for NLPManaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, et al.2016 · 334 citations
2. Probing for semantic evidence of composition by means of simple classification tasksWorkshop on Evaluating Vector Space Representations for NLPAllyson Ettinger, Ahmed Elgohary, Philip Resnik2016 · 219 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

📏Evaluation & benchmarks (1)🔬Interpretability (1)

📚 Fields

🎭Arts and Humanities (2)🖥️Computer Science (2)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓Johns Hopkins UniversityBaltimore · United States1 work here🎓University of Maryland, College ParkCollege Park · United States1 work here🎓Carnegie Mellon UniversityPittsburgh · United States1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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