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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
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
RepEval |
WS |
Citations
URL
Bad Company—Neighborhoods in Neural Embedding Spaces Considered Harmful
Johannes Hellrich
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Udo Hahn
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Aff2Vec: Affect–Enriched Distributional Word Representations
Sopan Khosla
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Niyati Chhaya
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Kushal Chawla
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What’s in Your Embedding, And How It Predicts Task Performance
Anna Rogers
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Shashwath Hosur Ananthakrishna
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Anna Rumshisky
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Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research
Haim Dubossarsky
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Eitan Grossman
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Daphna Weinshall
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Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation
Ivan Vulić
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Douwe Kiela
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Anna Korhonen
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The Interplay of Semantics and Morphology in Word Embeddings
Oded Avraham
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Yoav Goldberg
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Geographical Evaluation of Word Embeddings
Michal Konkol
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Tomáš Brychcín
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Michal Nykl
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Tomáš Hercig
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Turning Distributional Thesauri into Word Vectors for Synonym Extraction and Expansion
Olivier Ferret
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HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment
Ivan Vulić
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Daniela Gerz
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Douwe Kiela
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Felix Hill
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Anna Korhonen
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Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge
Steven Derby
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Paul Miller
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Brian Murphy
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Barry Devereux
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Uncovering Divergent Linguistic Information in Word Embeddings with Lessons for Intrinsic and Extrinsic Evaluation
Mikel Artetxe
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Gorka Labaka
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Iñigo Lopez-Gazpio
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Eneko Agirre
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Semantic Relatedness of Wikipedia Concepts – Benchmark Data and a Working Solution
Liat Ein Dor
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Alon Halfon
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Yoav Kantor
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Ran Levy
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Yosi Mass
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Ruty Rinott
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Eyal Shnarch
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Noam Slonim
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A Rank-Based Similarity Metric for Word Embeddings
Enrico Santus
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Hongmin Wang
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Emmanuele Chersoni
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Yue Zhang
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SemEval-2018 Task 10: Capturing Discriminative Attributes
Alicia Krebs
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Alessandro Lenci
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Denis Paperno
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BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes
Enrico Santus
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Chris Biemann
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Emmanuele Chersoni
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The Limitations of Cross-language Word Embeddings Evaluation
Amir Bakarov
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Roman Suvorov
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Ilya Sochenkov
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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
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Capturing Discriminative Attributes in a Distributional Space: Task Proposal
Alicia Krebs
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Denis Paperno
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Evaluating vector space models using human semantic priming results
Allyson Ettinger
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Tal Linzen
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Evaluating word embeddings with fMRI and eye-tracking
Anders Søgaard
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Compositional Semantics using Feature-Based Models from WordNet
Pablo Gamallo
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Martín Pereira-Fariña
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One Representation per Word - Does it make Sense for Composition?
Thomas Kober
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Julie Weeds
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John Wilkie
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Jeremy Reffin
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David Weir
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Traversal-Free Word Vector Evaluation in Analogy Space
Xiaoyin Che
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Nico Ring
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Willi Raschkowski
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Haojin Yang
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Christoph Meinel
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Fully Delexicalized Contexts for Syntax-Based Word Embeddings
Jenna Kanerva
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Sampo Pyysalo
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Filip Ginter
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No URLs Found
Field Of Study
Linguistic Trends
Lexical Semantics
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Tagging
Textual Entailment
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English
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