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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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Paper Details:
Year: 2017
Venue:
TACL |
Citations
URL
Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text
Aditya Joshi
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Ameya Prabhu
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Manish Shrivastava
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Vasudeva Varma
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RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian
Anna Rogers
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Alexey Romanov
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Anna Rumshisky
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Svitlana Volkova
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Mikhail Gronas
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Alex Gribov
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Leveraging Meta-Embeddings for Bilingual Lexicon Extraction from Specialized Comparable Corpora
Amir Hazem
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Emmanuel Morin
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JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual Features
Hongru Liang
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Haozheng Wang
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Jun Wang
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Shaodi You
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Zhe Sun
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Jin-Mao Wei
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Zhenglu Yang
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Who Feels What and Why? Annotation of a Literature Corpus with Semantic Roles of Emotions
Evgeny Kim
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Roman Klinger
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Transfer Learning for a Letter-Ngrams to Word Decoder in the Context of Historical Handwriting Recognition with Scarce Resources
Adeline Granet
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Emmanuel Morin
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Harold Mouchère
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Solen Quiniou
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Christian Viard-Gaudin
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Subword-augmented Embedding for Cloze Reading Comprehension
Zhuosheng Zhang
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Yafang Huang
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Hai Zhao
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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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Learning to Generate Word Representations using Subword Information
Yeachan Kim
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Kang-Min Kim
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Ji-Min Lee
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SangKeun Lee
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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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Emotion Representation Mapping for Automatic Lexicon Construction (Mostly) Performs on Human Level
Sven Buechel
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Udo Hahn
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DIDEC: The Dutch Image Description and Eye-tracking Corpus
Emiel van Miltenburg
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Ákos Kádár
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Ruud Koolen
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Emiel Krahmer
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Distinguishing affixoid formations from compounds
Josef Ruppenhofer
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Michael Wiegand
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Rebecca Wilm
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Katja Markert
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Neural Machine Translation with Source-Side Latent Graph Parsing
Kazuma Hashimoto
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Yoshimasa Tsuruoka
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A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto
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Caiming Xiong
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Yoshimasa Tsuruoka
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Richard Socher
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Knowledge Distillation for Bilingual Dictionary Induction
Ndapandula Nakashole
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Raphael Flauger
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Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance
Yftah Ziser
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Roi Reichart
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Unsupervised Multilingual Word Embeddings
Xilun Chen
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Claire Cardie
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Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
Edoardo Maria Ponti
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Ivan Vulić
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Goran Glavaš
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Nikola Mrkšić
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Anna Korhonen
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Improving Cross-Lingual Word Embeddings by Meeting in the Middle
Yerai Doval
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Jose Camacho-Collados
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Luis Espinosa-Anke
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Steven Schockaert
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Neural Cross-Lingual Named Entity Recognition with Minimal Resources
Jiateng Xie
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Zhilin Yang
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Graham Neubig
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Noah A. Smith
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Jaime Carbonell
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A Discriminative Latent-Variable Model for Bilingual Lexicon Induction
Sebastian Ruder
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Ryan Cotterell
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Yova Kementchedjhieva
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Anders Søgaard
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NORMA: Neighborhood Sensitive Maps for Multilingual Word Embeddings
Ndapa Nakashole
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SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach
Michael Petrochuk
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Luke Zettlemoyer
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Why is unsupervised alignment of English embeddings from different algorithms so hard?
Mareike Hartmann
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Yova Kementchedjhieva
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Anders Søgaard
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Generalizing Word Embeddings using Bag of Subwords
Jinman Zhao
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Sidharth Mudgal
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Yingyu Liang
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Unsupervised Bilingual Lexicon Induction via Latent Variable Models
Zi-Yi Dou
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Zhi-Hao Zhou
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Shujian Huang
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Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder
Yunsu Kim
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Jiahui Geng
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Hermann Ney
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Conversational Decision-Making Model for Predicting the King’s Decision in the Annals of the Joseon Dynasty
JinYeong Bak
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Alice Oh
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Unsupervised Learning of Syntactic Structure with Invertible Neural Projections
Junxian He
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Graham Neubig
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Taylor Berg-Kirkpatrick
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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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Lessons from Natural Language Inference in the Clinical Domain
Alexey Romanov
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Chaitanya Shivade
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Predicting Semantic Relations using Global Graph Properties
Yuval Pinter
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Jacob Eisenstein
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Gromov-Wasserstein Alignment of Word Embedding Spaces
David Alvarez-Melis
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Tommi Jaakkola
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Deriving Machine Attention from Human Rationales
Yujia Bao
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Shiyu Chang
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Mo Yu
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Regina Barzilay
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Large-scale Exploration of Neural Relation Classification Architectures
Hoang-Quynh Le
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Duy-Cat Can
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Sinh T. Vu
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Thanh Hai Dang
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Mohammad Taher Pilehvar
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Nigel Collier
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Joint Multilingual Supervision for Cross-lingual Entity Linking
Shyam Upadhyay
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Nitish Gupta
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Dan Roth
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Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit
Amrith Krishna
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Bishal Santra
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Sasi Prasanth Bandaru
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Gaurav Sahu
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Vishnu Dutt Sharma
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Pavankumar Satuluri
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Pawan Goyal
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Learning Better Internal Structure of Words for Sequence Labeling
Yingwei Xin
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Ethan Hart
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Vibhuti Mahajan
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Jean-David Ruvini
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Reducing Gender Bias in Abusive Language Detection
Ji Ho Park
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Jamin Shin
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Pascale Fung
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Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing
Yadollah Yaghoobzadeh
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Hinrich Schütze
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Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations
Zhe Zhang
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Munindar Singh
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CARER: Contextualized Affect Representations for Emotion Recognition
Elvis Saravia
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Hsien-Chi Toby Liu
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Yen-Hao Huang
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Junlin Wu
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Yi-Shin Chen
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Modeling Empathy and Distress in Reaction to News Stories
Sven Buechel
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Anneke Buffone
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Barry Slaff
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Lyle Ungar
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João Sedoc
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Refining Pretrained Word Embeddings Using Layer-wise Relevance Propagation
Akira Utsumi
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Similarity-Based Reconstruction Loss for Meaning Representation
Olga Kovaleva
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Anna Rumshisky
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Alexey Romanov
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Phrase-Based & Neural Unsupervised Machine Translation
Guillaume Lample
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Myle Ott
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Alexis Conneau
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Ludovic Denoyer
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Marc’Aurelio Ranzato
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Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package
Ajay Patel
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Alexander Sands
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Chris Callison-Burch
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Marianna Apidianaki
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Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities
Yadollah Yaghoobzadeh
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Hinrich Schütze
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Nonsymbolic Text Representation
Hinrich Schütze
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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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Demographic Word Embeddings for Racism Detection on Twitter
Mohammed Hasanuzzaman
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Gaël Dias
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Andy Way
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ClassifierGuesser: A Context-based Classifier Prediction System for Chinese Language Learners
Nicole Peinelt
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Maria Liakata
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Shu-Kai Hsieh
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IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases
Liang-Chih Yu
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Lung-Hao Lee
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Jin Wang
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Kam-Fai Wong
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MainiwayAI at IJCNLP-2017 Task 2: Ensembles of Deep Architectures for Valence-Arousal Prediction
Yassine Benajiba
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Jin Sun
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Yong Zhang
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Zhiliang Weng
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Or Biran
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Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task
Timothy Dozat
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Peng Qi
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Christopher D. Manning
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Churn Intent Detection in Multilingual Chatbot Conversations and Social Media
Christian Abbet
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Meryem M’hamdi
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Athanasios Giannakopoulos
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Robert West
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Andreea Hossmann
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Michael Baeriswyl
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Claudiu Musat
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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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Modeling Composite Labels for Neural Morphological Tagging
Alexander Tkachenko
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Kairit Sirts
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Vectorial Semantic Spaces Do Not Encode Human Judgments of Intervention Similarity
Paola Merlo
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Francesco Ackermann
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Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP)
Trevor Cohen
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Dominic Widdows
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IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing
Hui Wan
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Tahira Naseem
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Young-Suk Lee
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Vittorio Castelli
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Miguel Ballesteros
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Universal Dependency Parsing with a General Transition-Based DAG Parser
Daniel Hershcovich
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Omri Abend
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Ari Rappoport
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Universal Dependency Parsing from Scratch
Peng Qi
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Timothy Dozat
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Yuhao Zhang
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Christopher D. Manning
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Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks
Gor Arakelyan
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Karen Hambardzumyan
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Hrant Khachatrian
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ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing
Ganesh Jawahar
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Benjamin Muller
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Amal Fethi
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Louis Martin
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Éric Villemonte de la Clergerie
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Benoît Sagot
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Djamé Seddah
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A Morphology-Based Representation Model for LSTM-Based Dependency Parsing of Agglutinative Languages
Şaziye Betül Özateş
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Arzucan Özgür
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Tunga Güngör
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Balkız Öztürk
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Advances in Pre-Training Distributed Word Representations
Tomas Mikolov
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Edouard Grave
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Piotr Bojanowski
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Christian Puhrsch
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Armand Joulin
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Evaluation of Croatian Word Embeddings
Lukáš Svoboda
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Slobodan Beliga
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Grapheme-level Awareness in Word Embeddings for Morphologically Rich Languages
Suzi Park
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Hyopil Shin
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BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages
Benjamin Heinzerling
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Michael Strube
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Learning Word Vectors for 157 Languages
Edouard Grave
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Piotr Bojanowski
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Prakhar Gupta
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Armand Joulin
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Tomas Mikolov
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Universal Neural Machine Translation for Extremely Low Resource Languages
Jiatao Gu
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Hany Hassan
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Jacob Devlin
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Victor O.K. Li
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attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines
Fabio Petroni
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Vassilis Plachouras
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Timothy Nugent
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Jochen L. Leidner
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Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
Ivan Vulić
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Goran Glavaš
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Nikola Mrkšić
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Anna Korhonen
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Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features
Matteo Pagliardini
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Prakhar Gupta
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Martin Jaggi
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Specialising Word Vectors for Lexical Entailment
Ivan Vulić
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Nikola Mrkšić
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Context Sensitive Neural Lemmatization with Lematus
Toms Bergmanis
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Sharon Goldwater
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Word Emotion Induction for Multiple Languages as a Deep Multi-Task Learning Problem
Sven Buechel
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Udo Hahn
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Hierarchical Structured Model for Fine-to-Coarse Manifesto Text Analysis
Shivashankar Subramanian
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Trevor Cohn
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Timothy Baldwin
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Deep Contextualized Word Representations
Matthew Peters
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Mark Neumann
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Mohit Iyyer
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Matt Gardner
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Christopher Clark
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Kenton Lee
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Luke Zettlemoyer
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Discriminating between Lexico-Semantic Relations with the Specialization Tensor Model
Goran Glavaš
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Ivan Vulić
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Evaluating bilingual word embeddings on the long tail
Fabienne Braune
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Viktor Hangya
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Tobias Eder
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Alexander Fraser
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Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators
Cen Chen
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Yinfei Yang
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Jun Zhou
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Xiaolong Li
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Forrest Sheng Bao
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Data Collection for Dialogue System: A Startup Perspective
Yiping Kang
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Yunqi Zhang
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Jonathan K. Kummerfeld
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Lingjia Tang
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Jason Mars
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Igbo Diacritic Restoration using Embedding Models
Ignatius Ezeani
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Mark Hepple
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Ikechukwu Onyenwe
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Enemouh Chioma
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RiskFinder: A Sentence-level Risk Detector for Financial Reports
Yu-Wen Liu
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Liang-Chih Liu
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Chuan-Ju Wang
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Ming-Feng Tsai
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Explicit Retrofitting of Distributional Word Vectors
Goran Glavaš
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Ivan Vulić
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Multitask Parsing Across Semantic Representations
Daniel Hershcovich
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Omri Abend
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Ari Rappoport
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On the Limitations of Unsupervised Bilingual Dictionary Induction
Anders Søgaard
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Sebastian Ruder
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Ivan Vulić
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Subword-level Word Vector Representations for Korean
Sungjoon Park
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Jeongmin Byun
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Sion Baek
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Yongseok Cho
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Alice Oh
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Incorporating Chinese Characters of Words for Lexical Sememe Prediction
Huiming Jin
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Hao Zhu
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Zhiyuan Liu
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Ruobing Xie
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Maosong Sun
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Fen Lin
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Leyu Lin
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A Named Entity Recognition Shootout for German
Martin Riedl
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Sebastian Padó
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Characterizing Departures from Linearity in Word Translation
Ndapa Nakashole
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Raphael Flauger
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Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER
Rudra Murthy
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Anoop Kunchukuttan
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Pushpak Bhattacharyya
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An Empirical Study of Building a Strong Baseline for Constituency Parsing
Jun Suzuki
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Sho Takase
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Hidetaka Kamigaito
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Makoto Morishita
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Masaaki Nagata
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Scoring Lexical Entailment with a Supervised Directional Similarity Network
Marek Rei
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Daniela Gerz
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Ivan Vulić
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NovelPerspective: Identifying Point of View Characters
Lyndon White
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Roberto Togneri
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Wei Liu
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Mohammed Bennamoun
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Unsupervised Word Mapping Using Structural Similarities in Monolingual Embeddings
Hanan Aldarmaki
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Mahesh Mohan
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Mona Diab
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Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics
Martin Boyanov
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Preslav Nakov
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Alessandro Moschitti
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Giovanni Da San Martino
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Ivan Koychev
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Texterra at SemEval-2018 Task 7: Exploiting Syntactic Information for Relation Extraction and Classification in Scientific Papers
Andrey Sysoev
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Vladimir Mayorov
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UWB at SemEval-2018 Task 10: Capturing Discriminative Attributes from Word Distributions
Tomáš Brychcín
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Tomáš Hercig
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Josef Steinberger
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Michal Konkol
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ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet
Rui Mao
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Guanyi Chen
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Ruizhe Li
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Chenghua Lin
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NTU NLP Lab System at SemEval-2018 Task 10: Verifying Semantic Differences by Integrating Distributional Information and Expert Knowledge
Yow-Ting Shiue
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Hen-Hsen Huang
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Hsin-Hsi Chen
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HHU at SemEval-2018 Task 12: Analyzing an Ensemble-based Deep Learning Approach for the Argument Mining Task of Choosing the Correct Warrant
Matthias Liebeck
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Andreas Funke
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Stefan Conrad
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Deep Affix Features Improve Neural Named Entity Recognizers
Vikas Yadav
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Rebecca Sharp
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Steven Bethard
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Agree or Disagree: Predicting Judgments on Nuanced Assertions
Michael Wojatzki
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Torsten Zesch
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Saif Mohammad
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Svetlana Kiritchenko
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A Comparative Study of Embedding Models in Predicting the Compositionality of Multiword Expressions
Navnita Nandakumar
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Bahar Salehi
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Timothy Baldwin
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A Bag of Useful Tricks for Practical Neural Machine Translation: Embedding Layer Initialization and Large Batch Size
Masato Neishi
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Jin Sakuma
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Satoshi Tohda
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Shonosuke Ishiwatari
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Naoki Yoshinaga
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Masashi Toyoda
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The Sentimental Value of Chinese Sub-Character Components
Yassine Benajiba
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Or Biran
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Zhiliang Weng
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Yong Zhang
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Jin Sun
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Can adult mental health be predicted by childhood future-self narratives? Insights from the CLPsych 2018 Shared Task
Kylie Radford
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Louise Lavrencic
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Ruth Peters
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Kim Kiely
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Ben Hachey
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Scott Nowson
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Will Radford
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Using Language Learner Data for Metaphor Detection
Egon Stemle
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Alexander Onysko
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Entropy-Based Subword Mining with an Application to Word Embeddings
Ahmed El-Kishky
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Frank Xu
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Aston Zhang
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Stephen Macke
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Jiawei Han
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Subword-level Composition Functions for Learning Word Embeddings
Bofang Li
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Aleksandr Drozd
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Tao Liu
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Xiaoyong Du
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Incorporating Subword Information into Matrix Factorization Word Embeddings
Alexandre Salle
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Aline Villavicencio
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System Description of Supervised and Unsupervised Neural Machine Translation Approaches from “NL Processing” Team at DeepHack.Babel Task
Ilya Gusev
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Artem Oboturov
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Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility
Denis Newman-Griffis
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Ayah Zirikly
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Compositional Morpheme Embeddings with Affixes as Functions and Stems as Arguments
Daniel Edmiston
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Karl Stratos
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Subcharacter Information in Japanese Embeddings: When Is It Worth It?
Marzena Karpinska
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Bofang Li
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Anna Rogers
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Aleksandr Drozd
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A Hybrid Learning Scheme for Chinese Word Embedding
Wenfan Chen
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Weiguo Sheng
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Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation
Ivan Vulić
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Characters or Morphemes: How to Represent Words?
Ahmet Üstün
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Murathan Kurfalı
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Burcu Can
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A Corpus of Corporate Annual and Social Responsibility Reports: 280 Million Tokens of Balanced Organizational Writing
Sebastian G.M. Händschke
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Sven Buechel
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Jan Goldenstein
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Philipp Poschmann
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Tinghui Duan
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Peter Walgenbach
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Udo Hahn
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Sub-label dependencies for Neural Morphological Tagging – The Joint Submission of University of Colorado and University of Helsinki for VarDial 2018
Miikka Silfverberg
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Senka Drobac
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Comparing CRF and LSTM performance on the task of morphosyntactic tagging of non-standard varieties of South Slavic languages
Nikola Ljubešić
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STEVENDU2018’s system in VarDial 2018: Discriminating between Dutch and Flemish in Subtitles
Steven Du
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Yuan Yuan Wang
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Aggression Identification Using Deep Learning and Data Augmentation
Julian Risch
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Ralf Krestel
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Cross-Discourse and Multilingual Exploration of Textual Corpora with the DualNeighbors Algorithm
Taylor Arnold
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Lauren Tilton
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Conversational Image Editing: Incremental Intent Identification in a New Dialogue Task
Ramesh Manuvinakurike
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Trung Bui
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Walter Chang
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Kallirroi Georgila
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Neural Character-based Composition Models for Abuse Detection
Pushkar Mishra
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Helen Yannakoudakis
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Ekaterina Shutova
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Challenges for Toxic Comment Classification: An In-Depth Error Analysis
Betty van Aken
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Julian Risch
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Ralf Krestel
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Alexander Löser
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Improving Moderation of Online Discussions via Interpretable Neural Models
Andrej Švec
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Matúš Pikuliak
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Marián Šimko
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Mária Bieliková
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Learning Representations for Detecting Abusive Language
Magnus Sahlgren
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Tim Isbister
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Fredrik Olsson
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Affordance Extraction and Inference based on Semantic Role Labeling
Daniel Loureiro
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Alípio Jorge
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Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification.
Tuhin Chakrabarty
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Tariq Alhindi
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Smaranda Muresan
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Evaluation of a Sequence Tagging Tool for Biomedical Texts
Julien Tourille
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Matthieu Doutreligne
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Olivier Ferret
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Aurélie Névéol
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Nicolas Paris
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Xavier Tannier
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A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems
Wafa Aissa
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Laure Soulier
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Ludovic Denoyer
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IRISA at SMM4H 2018: Neural Network and Bagging for Tweet Classification
Anne-Lyse Minard
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Christian Raymond
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Vincent Claveau
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Robust Word Vectors: Context-Informed Embeddings for Noisy Texts
Valentin Malykh
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Varvara Logacheva
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Taras Khakhulin
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Using Wikipedia Edits in Low Resource Grammatical Error Correction
Adriane Boyd
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Word-like character n-gram embedding
Geewook Kim
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Kazuki Fukui
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Hidetoshi Shimodaira
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Measuring Issue Ownership using Word Embeddings
Amaru Cuba Gyllensten
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Magnus Sahlgren
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HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets
Wenting Wang
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Phrase-based Unsupervised Machine Translation with Compositional Phrase Embeddings
Maksym Del
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Andre Tättar
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Mark Fishel
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The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018
Miguel Graça
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Yunsu Kim
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Julian Schamper
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Jiahui Geng
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Hermann Ney
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The LMU Munich Unsupervised Machine Translation Systems
Dario Stojanovski
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Viktor Hangya
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Matthias Huck
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Alexander Fraser
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The AFRL-Ohio State WMT18 Multimodal System: Combining Visual with Traditional
Jeremy Gwinnup
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Joshua Sandvick
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Michael Hutt
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Grant Erdmann
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John Duselis
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James Davis
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Quality Estimation with Force-Decoded Attention and Cross-lingual Embeddings
Elizaveta Yankovskaya
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Andre Tättar
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Mark Fishel
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An Unsupervised System for Parallel Corpus Filtering
Viktor Hangya
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Alexander Fraser
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NICT’s Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task
Rui Wang
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Benjamin Marie
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Masao Utiyama
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Eiichiro Sumita
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Treat the system like a human student: Automatic naturalness evaluation of generated text without reference texts
Isabel Groves
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Ye Tian
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Ioannis Douratsos
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http://www.isthe.com/chongo/tech/comp/fnv
https://code.google.com/archive/p/word2vec
https://github.com/facebookresearch/fastText
https://dumps.wikimedia.org
http://mattmahoney.net/dc/textdata
Field Of Study
Linguistic Trends
Embeddings
Morphology
Task
Tagging
Semantic Similarity
Sentiment Analysis
Machine Translation
Language
Multilingual
Chinese
English
Spanish
French
Arabic
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