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Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization
Lucie Flekova
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Iryna Gurevych
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
From Text to Lexicon: Bridging the Gap between Word Embeddings and Lexical Resources
Ilia Kuznetsov
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Iryna Gurevych
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Neural Sequence Learning Models for Word Sense Disambiguation
Alessandro Raganato
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Claudio Delli Bovi
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Roberto Navigli
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Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features
Marc Schulder
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Michael Wiegand
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Josef Ruppenhofer
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Benjamin Roth
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Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Massimiliano Mancini
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Jose Camacho-Collados
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Ignacio Iacobacci
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Roberto Navigli
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Disambiguation of Verbal Shifters
Michael Wiegand
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Sylvette Loda
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Josef Ruppenhofer
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Inducing a Lexicon of Abusive Words – a Feature-Based Approach
Michael Wiegand
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Josef Ruppenhofer
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Anna Schmidt
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Clayton Greenberg
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Towards a Seamless Integration of Word Senses into Downstream NLP Applications
Mohammad Taher Pilehvar
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Jose Camacho-Collados
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Roberto Navigli
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Nigel Collier
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EuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text
Claudio Delli Bovi
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Jose Camacho-Collados
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Alessandro Raganato
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Roberto Navigli
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Mapping the Paraphrase Database to WordNet
Anne Cocos
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Marianna Apidianaki
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Chris Callison-Burch
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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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Prediction of Frame-to-Frame Relations in the FrameNet Hierarchy with Frame Embeddings
Teresa Botschen
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Hatem Mousselly-Sergieh
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Iryna Gurevych
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Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets
Jeremy Barnes
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Roman Klinger
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Sabine Schulte im Walde
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Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus
Hendrik Schuff
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Jeremy Barnes
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Julian Mohme
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Sebastian Padó
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Roman Klinger
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Coarse Semantic Classification of Rare Nouns Using Cross-Lingual Data and Recurrent Neural Networks
Oliver Hellwig
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Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings
Han-Chin Shing
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Suraj Nair
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Ayah Zirikly
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Meir Friedenberg
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Hal Daumé III
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Philip Resnik
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On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis
Jose Camacho-Collados
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Mohammad Taher Pilehvar
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https://github.com/UKPLab/
https://github.com/kutschkem/
https://github.com/kutschkem/
https://github.com/coastalcph/
https://github.com/fchollet/keras/
http://www.cs.uic.edu/liub/FBS/
https://www.cs.cornell.edu/people/
http://www.cs.cmu.edu/
https://github.com/UKPLab/
Field Of Study
Linguistic Trends
Distributional Semantics
Embeddings
Syntax
Task
Language Understanding
Tagging
Word Sense Disambiguation
Named Entity Recognition
Semantic Similarity
Information Retrieval
Sentiment Analysis
Question Answering
Machine Translation
Text Categorization
Approach
Deep Learning
Structured Prediction
Language
Multilingual
Chinese
English
Arabic
Dataset
Social Media
Twitter
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