Abstract is missing.
- Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic PerformanceBilly Chiu, Anna Korhonen, Sampo Pyysalo. 1-6 [doi]
- A critique of word similarity as a method for evaluating distributional semantic modelsMiroslav Batchkarov, Thomas Kober, Jeremy Reffin, Julie Weeds, David J. Weir. 7-12 [doi]
- Issues in evaluating semantic spaces using word analogiesTal Linzen. 13-18 [doi]
- Evaluating Word Embeddings Using a Representative Suite of Practical TasksNeha Nayak, Gabor Angeli, Christopher D. Manning. 19-23 [doi]
- Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens NextNasrin Mostafazadeh, Lucy Vanderwende, Wen-tau Yih, Pushmeet Kohli, James F. Allen. 24-29 [doi]
- Problems With Evaluation of Word Embeddings Using Word Similarity TasksManaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, Chris Dyer. 30-35 [doi]
- Intrinsic Evaluations of Word Embeddings: What Can We Do Better?Anna Gladkova, Aleksandr Drozd. 36-42 [doi]
- Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector RepresentationsJosé Camacho-Collados, Roberto Navigli. 43-50 [doi]
- Capturing Discriminative Attributes in a Distributional Space: Task ProposalAlicia Krebs, Denis Paperno. 51-54 [doi]
- An Improved Crowdsourcing Based Evaluation Technique for Word Embedding MethodsFarhana Ferdousi Liza, Marek Grzes. 55-61 [doi]
- Evaluation of acoustic word embeddingsSahar Ghannay, Yannick Estève, Nathalie Camelin, Paul Deléglise. 62-66 [doi]
- Evaluating Embeddings using Syntax-based Classification Tasks as a Proxy for Parser PerformanceArne Köhn. 67-71 [doi]
- Evaluating vector space models using human semantic priming resultsAllyson Ettinger, Tal Linzen. 72-77 [doi]
- Evaluating embeddings on dictionary-based similarityJudit Ács, András Kornai. 78-82 [doi]
- Evaluating multi-sense embeddings for semantic resolution monolingually and in word translationGábor Borbély, Márton Makrai, Dávid Márk Nemeskey, András Kornai. 83-89 [doi]
- Subsumption Preservation as a Comparative Measure for Evaluating Sense-Directed EmbeddingsAli Seyed. 90-93 [doi]
- Evaluating Informal-Domain Word Representations With UrbanDictionaryNaomi Saphra. 94-98 [doi]
- Thematic fit evaluation: an aspect of selectional preferencesAsad Basheer Sayeed, Clayton Greenberg, Vera Demberg. 99-105 [doi]
- Improving Reliability of Word Similarity Evaluation by Redesigning Annotation Task and Performance MeasureOded Avraham, Yoav Goldberg. 106-110 [doi]
- Correlation-based Intrinsic Evaluation of Word Vector RepresentationsYulia Tsvetkov, Manaal Faruqui, Chris Dyer. 111-115 [doi]
- Evaluating word embeddings with fMRI and eye-trackingAnders Søgaard. 116-121 [doi]
- Defining Words with Words: Beyond the Distributional HypothesisIuliana-Elena Parasca, Andreas Lukas Rauter, Jack Roper, Aleksandar Rusinov, Guillaume Bouchard, Sebastian Riedel, Pontus Stenetorp. 122-126 [doi]
- A Proposal for Linguistic Similarity Datasets Based on Commonality ListsDmitrijs Milajevs, Sascha Griffiths. 127-133 [doi]
- Probing for semantic evidence of composition by means of simple classification tasksAllyson Ettinger, Ahmed Elgohary, Philip Resnik. 134-139 [doi]
- SLEDDED: A Proposed Dataset of Event Descriptions for Evaluating Phrase RepresentationsLaura Rimell, Eva Maria Vecchi. 140-144 [doi]
- Sentence Embedding Evaluation Using Pyramid AnnotationTal Baumel, Raphael Cohen, Michael Elhadad. 145-149 [doi]