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ORCID1st RepEval@ACL 2016: Berlin, Germany
- Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, RepEval@ACL 2016, Berlin, Germany, August 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-14-2
- Billy Chiu, Anna Korhonen, Sampo Pyysalo:
Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance. 1-6 - Miroslav Batchkarov, Thomas Kober, Jeremy Reffin
, Julie Weeds, David J. Weir:
A critique of word similarity as a method for evaluating distributional semantic models. 7-12 - Tal Linzen:
Issues in evaluating semantic spaces using word analogies. 13-18 - Neha Nayak, Gabor Angeli, Christopher D. Manning:
Evaluating Word Embeddings Using a Representative Suite of Practical Tasks. 19-23 - Nasrin Mostafazadeh, Lucy Vanderwende, Wen-tau Yih, Pushmeet Kohli, James F. Allen:
Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens Next. 24-29 - Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, Chris Dyer:
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks. 30-35 - Anna Gladkova, Aleksandr Drozd:
Intrinsic Evaluations of Word Embeddings: What Can We Do Better? 36-42 - José Camacho-Collados, Roberto Navigli:
Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector Representations. 43-50 - Alicia Krebs, Denis Paperno:
Capturing Discriminative Attributes in a Distributional Space: Task Proposal. 51-54 - Farhana Ferdousi Liza, Marek Grzes:
An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods. 55-61 - Sahar Ghannay, Yannick Estève, Nathalie Camelin, Paul Deléglise:
Evaluation of acoustic word embeddings. 62-66 - Arne Köhn:
Evaluating Embeddings using Syntax-based Classification Tasks as a Proxy for Parser Performance. 67-71 - Allyson Ettinger, Tal Linzen:
Evaluating vector space models using human semantic priming results. 72-77 - Judit Ács, András Kornai:
Evaluating embeddings on dictionary-based similarity. 78-82 - Gábor Borbély, Márton Makrai, Dávid Márk Nemeskey, András Kornai:
Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation. 83-89 - Ali Seyed:
Subsumption Preservation as a Comparative Measure for Evaluating Sense-Directed Embeddings. 90-93 - Naomi Saphra:
Evaluating Informal-Domain Word Representations With UrbanDictionary. 94-98 - Asad Basheer Sayeed, Clayton Greenberg, Vera Demberg:
Thematic fit evaluation: an aspect of selectional preferences. 99-105 - Oded Avraham, Yoav Goldberg:
Improving Reliability of Word Similarity Evaluation by Redesigning Annotation Task and Performance Measure. 106-110 - Yulia Tsvetkov, Manaal Faruqui, Chris Dyer:
Correlation-based Intrinsic Evaluation of Word Vector Representations. 111-115 - Anders Søgaard:
Evaluating word embeddings with fMRI and eye-tracking. 116-121 - Iuliana-Elena Parasca, Andreas Lukas Rauter, Jack Roper, Aleksandar Rusinov, Guillaume Bouchard, Sebastian Riedel, Pontus Stenetorp:
Defining Words with Words: Beyond the Distributional Hypothesis. 122-126 - Dmitrijs Milajevs, Sascha S. Griffiths:
A Proposal for Linguistic Similarity Datasets Based on Commonality Lists. 127-133 - Allyson Ettinger, Ahmed Elgohary, Philip Resnik:
Probing for semantic evidence of composition by means of simple classification tasks. 134-139 - Laura Rimell, Eva Maria Vecchi:
SLEDDED: A Proposed Dataset of Event Descriptions for Evaluating Phrase Representations. 140-144 - Tal Baumel, Raphael Cohen, Michael Elhadad:
Sentence Embedding Evaluation Using Pyramid Annotation. 145-149
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