Workshop on Evaluating Vector-Space Representations for NLP (2016)
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP
Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance
Billy Chiu
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Anna Korhonen
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Sampo Pyysalo
A critique of word similarity as a method for evaluating distributional semantic models
Miroslav Batchkarov
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Thomas Kober
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Jeremy Reffin
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Julie Weeds
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David Weir
Issues in evaluating semantic spaces using word analogies
Tal Linzen
Evaluating Word Embeddings Using a Representative Suite of Practical Tasks
Neha Nayak Kennard
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Gabor Angeli
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Christopher D. Manning
Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens Next
Nasrin Mostafazadeh
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Lucy Vanderwende
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Wen-tau Yih
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Pushmeet Kohli
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James Allen
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
Manaal Faruqui
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Yulia Tsvetkov
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Pushpendre Rastogi
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Chris Dyer
Intrinsic Evaluations of Word Embeddings: What Can We Do Better?
Anna Gladkova
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Aleksandr Drozd
Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector Representations
José Camacho-Collados
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Roberto Navigli
Capturing Discriminative Attributes in a Distributional Space: Task Proposal
Alicia Krebs
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Denis Paperno
An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods
Farhana Ferdousi Liza
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Marek Grześ
Evaluation of acoustic word embeddings
Sahar Ghannay
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Yannick Estève
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Nathalie Camelin
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Paul Deleglise
Evaluating Embeddings using Syntax-based Classification Tasks as a Proxy for Parser Performance
Arne Köhn
Evaluating vector space models using human semantic priming results
Allyson Ettinger
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Tal Linzen
Evaluating embeddings on dictionary-based similarity
Judit Ács
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András Kornai
Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation
Gábor Borbély
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Márton Makrai
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Dávid Márk Nemeskey
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András Kornai
Subsumption Preservation as a Comparative Measure for Evaluating Sense-Directed Embeddings
Ali Seyed
Evaluating Informal-Domain Word Representations With UrbanDictionary
Naomi Saphra
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Adam Lopez
Thematic fit evaluation: an aspect of selectional preferences
Asad Sayeed
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Clayton Greenberg
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Vera Demberg
Improving Reliability of Word Similarity Evaluation by Redesigning Annotation Task and Performance Measure
Oded Avraham
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Yoav Goldberg
Correlation-based Intrinsic Evaluation of Word Vector Representations
Yulia Tsvetkov
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Manaal Faruqui
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Chris Dyer
Evaluating word embeddings with fMRI and eye-tracking
Anders Søgaard
Defining Words with Words: Beyond the Distributional Hypothesis
Iuliana-Elena Parasca
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Andreas Lukas Rauter
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Jack Roper
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Aleksandar Rusinov
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Guillaume Bouchard
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Sebastian Riedel
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Pontus Stenetorp
A Proposal for Linguistic Similarity Datasets Based on Commonality Lists
Dmitrijs Milajevs
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Sascha Griffiths
Probing for semantic evidence of composition by means of simple classification tasks
Allyson Ettinger
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Ahmed Elgohary
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Philip Resnik
SLEDDED: A Proposed Dataset of Event Descriptions for Evaluating Phrase Representations
Laura Rimell
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Eva Maria Vecchi
Sentence Embedding Evaluation Using Pyramid Annotation
Tal Baumel
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Raphael Cohen
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Michael Elhadad