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Unsupervised Morphology Induction Using Word Embeddings
Radu Soricut
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Franz Och
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Paper Details:
Month: May–June
Year: 2015
Location: Denver, Colorado
Venue:
NAACL |
Citations
URL
Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation
Wang Ling
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Chris Dyer
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Alan W Black
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Isabel Trancoso
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Ramón Fermandez
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Silvio Amir
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Luís Marujo
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Tiago Luís
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Charagram: Embedding Words and Sentences via Character n-grams
John Wieting
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Mohit Bansal
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Kevin Gimpel
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Karen Livescu
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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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Exploiting Morphological Regularities in Distributional Word Representations
Arihant Gupta
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Syed Sarfaraz Akhtar
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Avijit Vajpayee
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Arjit Srivastava
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Madan Gopal Jhanwar
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Manish Shrivastava
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Generalizing Word Embeddings using Bag of Subwords
Jinman Zhao
|
Sidharth Mudgal
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Yingyu Liang
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Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models
Mohammad Taher Pilehvar
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Dimitri Kartsaklis
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Victor Prokhorov
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Nigel Collier
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Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources
Mohammad Taher Pilehvar
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Nigel Collier
|
The Interplay of Semantics and Morphology in Word Embeddings
Oded Avraham
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Yoav Goldberg
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Training Data Augmentation for Low-Resource Morphological Inflection
Toms Bergmanis
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Katharina Kann
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Hinrich Schütze
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Sharon Goldwater
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Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn’t.
Anna Gladkova
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Aleksandr Drozd
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Satoshi Matsuoka
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MORSE: Semantic-ally Drive-n MORpheme SEgment-er
Tarek Sakakini
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Suma Bhat
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Pramod Viswanath
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Analogical Reasoning on Chinese Morphological and Semantic Relations
Shen Li
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Zhe Zhao
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Renfen Hu
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Wensi Li
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Tao Liu
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Xiaoyong Du
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Enriching Word Vectors with Subword Information
Piotr Bojanowski
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Edouard Grave
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Armand Joulin
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Tomas Mikolov
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Unsupervised Learning of Morphological Forests
Jiaming Luo
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Karthik Narasimhan
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Regina Barzilay
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Joint Semantic Synthesis and Morphological Analysis of the Derived Word
Ryan Cotterell
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Hinrich Schütze
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Unsupervised Learning of Morphology with Graph Sampling
Maciej Sumalvico
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Splitting Compounds by Semantic Analogy
Joachim Daiber
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Lautaro Quiroz
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Roger Wechsler
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Stella Frank
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A Joint Model for Word Embedding and Word Morphology
Kris Cao
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Marek Rei
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Yandex School of Data Analysis approach to English-Turkish translation at WMT16 News Translation Task
Anton Dvorkovich
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Sergey Gubanov
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Irina Galinskaya
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Automatic Morpheme Segmentation and Labeling in Universal Dependencies Resources
Miikka Silfverberg
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Mans Hulden
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Protein Word Detection using Text Segmentation Techniques
Devi Ganesan
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Ashish V. Tendulkar
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Sutanu Chakraborti
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A Graph Based Semi-Supervised Approach for Analysis of Derivational Nouns in Sanskrit
Amrith Krishna
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Pavankumar Satuluri
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Harshavardhan Ponnada
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Muneeb Ahmed
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Gulab Arora
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Kaustubh Hiware
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Pawan Goyal
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Weakly supervised learning of allomorphy
Miikka Silfverberg
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Mans Hulden
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Hypothesis Testing based Intrinsic Evaluation of Word Embeddings
Nishant Gurnani
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Complementary Strategies for Low Resourced Morphological Modeling
Alexander Erdmann
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Nizar Habash
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No URLs Found
Field Of Study
Linguistic Trends
Embeddings
Morphology
Task
Morphological Analysis
Semantic Similarity
Sentiment Analysis
Approach
Deep Learning
Language
English
French
Arabic
Dataset
News
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