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Evaluation methods for unsupervised word embeddings
Tobias Schnabel
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Igor Labutov
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David Mimno
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Thorsten Joachims
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Paper Details:
Month: September
Year: 2015
Location: Lisbon, Portugal
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Bad Company—Neighborhoods in Neural Embedding Spaces Considered Harmful
Johannes Hellrich
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Udo Hahn
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Evaluation of Unsupervised Compositional Representations
Hanan Aldarmaki
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Mona Diab
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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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Transparent, Efficient, and Robust Word Embedding Access with WOMBAT
Mark-Christoph Müller
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Michael Strube
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Evaluation of Word Vector Representations by Subspace Alignment
Yulia Tsvetkov
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Manaal Faruqui
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Wang Ling
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Guillaume Lample
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Chris Dyer
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The Effects of Data Size and Frequency Range on Distributional Semantic Models
Magnus Sahlgren
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Alessandro Lenci
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Robust Gram Embeddings
Taygun Kekeç
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David M. J. Tax
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Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics
Zhe Zhao
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Tao Liu
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Shen Li
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Bofang Li
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Xiaoyong Du
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Measuring Thematic Fit with Distributional Feature Overlap
Enrico Santus
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Emmanuele Chersoni
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Alessandro Lenci
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Philippe Blache
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The strange geometry of skip-gram with negative sampling
David Mimno
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Laure Thompson
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Dynamic Meta-Embeddings for Improved Sentence Representations
Douwe Kiela
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Changhan Wang
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Kyunghyun Cho
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Auto-Encoding Dictionary Definitions into Consistent Word Embeddings
Tom Bosc
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Pascal Vincent
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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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Online Learning of Task-specific Word Representations with a Joint Biconvex Passive-Aggressive Algorithm
Pascal Denis
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Liva Ralaivola
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Consistent Translation of Repeated Nouns using Syntactic and Semantic Cues
Xiao Pu
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Laura Mascarell
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Andrei Popescu-Belis
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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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Towards Lower Bounds on Number of Dimensions for Word Embeddings
Kevin Patel
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Pushpak Bhattacharyya
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Resources to Examine the Quality of Word Embedding Models Trained on n-Gram Data
Ábel Elekes
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Adrian Englhardt
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Martin Schäler
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Klemens Böhm
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Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities
Steffen Remus
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Chris Biemann
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Evaluation of Domain-specific Word Embeddings using Knowledge Resources
Farhad Nooralahzadeh
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Lilja Øvrelid
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Jan Tore Lønning
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MGAD: Multilingual Generation of Analogy Datasets
Mostafa Abdou
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Artur Kulmizev
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Vinit Ravishankar
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Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation
Shudong Hao
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Jordan Boyd-Graber
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Michael J. Paul
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Towards Qualitative Word Embeddings Evaluation: Measuring Neighbors Variation
Bénédicte Pierrejean
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Ludovic Tanguy
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Intrinsic Subspace Evaluation of Word Embedding Representations
Yadollah Yaghoobzadeh
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Hinrich Schütze
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Cross-lingual Models of Word Embeddings: An Empirical Comparison
Shyam Upadhyay
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Manaal Faruqui
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Chris Dyer
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Dan Roth
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Riemannian Optimization for Skip-Gram Negative Sampling
Alexander Fonarev
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Oleksii Grinchuk
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Gleb Gusev
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Pavel Serdyukov
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Ivan Oseledets
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Methodical Evaluation of Arabic Word Embeddings
Mohammed Elrazzaz
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Shady Elbassuoni
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Khaled Shaban
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Chadi Helwe
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ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social Media
Dustin Arendt
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Svitlana Volkova
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Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach
Shafiq Joty
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Muhammad Tasnim Mohiuddin
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Dat Tien Nguyen
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What Analogies Reveal about Word Vectors and their Compositionality
Gregory Finley
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Stephanie Farmer
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Serguei Pakhomov
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A Mixture Model for Learning Multi-Sense Word Embeddings
Dai Quoc Nguyen
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Dat Quoc Nguyen
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Ashutosh Modi
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Stefan Thater
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Manfred Pinkal
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Discriminator at SemEval-2018 Task 10: Minimally Supervised Discrimination
Artur Kulmizev
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Mostafa Abdou
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Vinit Ravishankar
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Malvina Nissim
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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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Design of Word Association Games using Dialog Systems for Acquisition of Word Association Knowledge
Yuichiro Machida
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Daisuke Kawahara
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Sadao Kurohashi
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Manabu Sassano
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An Assessment of Experimental Protocols for Tracing Changes in Word Semantics Relative to Accuracy and Reliability
Johannes Hellrich
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Udo Hahn
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Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance
Billy Chiu
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Anna Korhonen
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Sampo Pyysalo
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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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Issues in evaluating semantic spaces using word analogies
Tal Linzen
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Evaluating Word Embeddings Using a Representative Suite of Practical Tasks
Neha Nayak
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Gabor Angeli
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Christopher D. Manning
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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
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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
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Intrinsic Evaluations of Word Embeddings: What Can We Do Better?
Anna Gladkova
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Aleksandr Drozd
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An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods
Farhana Ferdousi Liza
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Marek Grześ
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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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Subsumption Preservation as a Comparative Measure for Evaluating Sense-Directed Embeddings
Ali Seyed
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A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation
Hong Jin Kang
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Tao Chen
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Muthu Kumar Chandrasekaran
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Min-Yen Kan
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Linear Ensembles of Word Embedding Models
Avo Muromägi
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Kairit Sirts
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Sven Laur
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Parameter Free Hierarchical Graph-Based Clustering for Analyzing Continuous Word Embeddings
Thomas Alexander Trost
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Dietrich Klakow
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Intrinsic and Extrinsic Evaluation of Spatiotemporal Text Representations in Twitter Streams
Lawrence Phillips
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Kyle Shaffer
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Dustin Arendt
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Nathan Hodas
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Svitlana Volkova
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Evaluation of word embeddings against cognitive processes: primed reaction times in lexical decision and naming tasks
Jeremy Auguste
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Arnaud Rey
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Benoit Favre
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Coarse Semantic Classification of Rare Nouns Using Cross-Lingual Data and Recurrent Neural Networks
Oliver Hellwig
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There’s no ‘Count or Predict’ but task-based selection for distributional models
Martin Riedl
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Chris Biemann
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Evaluating Word Embeddings in Multi-label Classification Using Fine-Grained Name Typing
Yadollah Yaghoobzadeh
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Katharina Kann
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Hinrich Schütze
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Investigating Effective Parameters for Fine-tuning of Word Embeddings Using Only a Small Corpus
Kanako Komiya
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Hiroyuki Shinnou
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Evaluating Textual Representations through Image Generation
Graham Spinks
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Marie-Francine Moens
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Testing APSyn against Vector Cosine on Similarity Estimation
Enrico Santus
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Emmanuele Chersoni
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Alessandro Lenci
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Chu-Ren Huang
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Philippe Blache
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http://www.cs
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Chunking
Information Retrieval
Approach
Deep Learning
Language
English
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