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Unsupervised Type and Token Identification of Idiomatic Expressions
Afsaneh Fazly
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Paul Cook
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Suzanne Stevenson
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Paper Details:
Year: 2009
Venue:
CL |
Citations
URL
Linguistic Cues for Distinguishing Literal and Non-Literal Usages
Linlin Li
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Caroline Sporleder
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Unsupervised Multiword Segmentation of Large Corpora using Prediction-Driven Decomposition of n-grams
Julian Brooke
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Vivian Tsang
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Graeme Hirst
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Fraser Shein
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Experiments in Idiom Recognition
Jing Peng
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Anna Feldman
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If you’ve seen some, you’ve seen them all: Identifying variants of multiword expressions
Caroline Pasquer
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Agata Savary
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Carlos Ramisch
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Jean-Yves Antoine
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Predicting the Semantic Compositionality of Prefix Verbs
Shane Bergsma
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Aditya Bhargava
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Hua He
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Grzegorz Kondrak
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Detecting Non-compositional MWE Components using Wiktionary
Bahar Salehi
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Paul Cook
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Timothy Baldwin
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Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of Emotions
Jing Peng
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Anna Feldman
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Ekaterina Vylomova
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Idiom-Aware Compositional Distributed Semantics
Pengfei Liu
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Kaiyu Qian
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Xipeng Qiu
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Xuanjing Huang
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Heuristically Informed Unsupervised Idiom Usage Recognition
Changsheng Liu
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Rebecca Hwa
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Using Distributional Similarity of Multi-way Translations to Predict Multiword Expression Compositionality
Bahar Salehi
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Paul Cook
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Timothy Baldwin
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A Corpus of Literal and Idiomatic Uses of German Infinitive-Verb Compounds
Andrea Horbach
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Andrea Hensler
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Sabine Krome
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Jakob Prange
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Werner Scholze-Stubenrecht
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Diana Steffen
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Stefan Thater
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Christian Wellner
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Manfred Pinkal
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Is it worth it? Budget-related evaluation metrics for model selection
Filip Klubička
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Giancarlo D. Salton
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John D. Kelleher
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Designing a Russian Idiom-Annotated Corpus
Katsiaryna Aharodnik
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Anna Feldman
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Jing Peng
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Using Gaussian Mixture Models to Detect Figurative Language in Context
Linlin Li
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Caroline Sporleder
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A Word Embedding Approach to Predicting the Compositionality of Multiword Expressions
Bahar Salehi
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Paul Cook
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Timothy Baldwin
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Phrasal Substitution of Idiomatic Expressions
Changsheng Liu
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Rebecca Hwa
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Towards a Variability Measure for Multiword Expressions
Caroline Pasquer
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Agata Savary
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Jean-Yves Antoine
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Carlos Ramisch
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Idiom Token Classification using Sentential Distributed Semantics
Giancarlo Salton
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Robert Ross
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John Kelleher
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Leveraging distributed representations and lexico-syntactic fixedness for token-level prediction of the idiomaticity of English verb-noun combinations
Milton King
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Paul Cook
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Classifying Idiomatic and Literal Expressions Using Vector Space Representations
Jing Peng
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Anna Feldman
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Hamza Jazmati
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Idiom Type Identification with Smoothed Lexical Features and a Maximum Margin Classifier
Giancarlo Salton
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Robert Ross
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John Kelleher
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Combining resources for MWE-token classification
Richard Fothergill
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Timothy Baldwin
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An Unsupervised Ranking Model for Noun-Noun Compositionality
Karl Moritz Hermann
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Phil Blunsom
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Stephen Pulman
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Predicting the Compositionality of Multiword Expressions Using Translations in Multiple Languages
Bahar Salehi
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Paul Cook
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IIRG: A Naive Approach to Evaluating Phrasal Semantics
Lorna Byrne
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Caroline Fenlon
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John Dunnion
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UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags
Sergio Jimenez
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Claudia Becerra
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Alexander Gelbukh
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UFRGS&LIF at SemEval-2016 Task 10: Rule-Based MWE Identification and Predominant-Supersense Tagging
Silvio Cordeiro
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Carlos Ramisch
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Aline Villavicencio
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Deep Learning Models For Multiword Expression Identification
Waseem Gharbieh
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Virendrakumar Bhavsar
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Paul Cook
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Automatic Extraction of NV Expressions in Basque: Basic Issues on Cooccurrence Techniques
Antton Gurrutxaga
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Iñaki Alegria
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Learning English Light Verb Constructions: Contextual or Statistical
Yuancheng Tu
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Dan Roth
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Identifying Metaphorical Word Use with Tree Kernels
Dirk Hovy
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Shashank Srivastava
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Sujay Kumar Jauhar
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Mrinmaya Sachan
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Kartik Goyal
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Huying Li
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Whitney Sanders
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Eduard Hovy
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Automatically Assessing Whether a Text Is Cliched, with Applications to Literary Analysis
Paul Cook
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Graeme Hirst
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Evaluation of a Substitution Method for Idiom Transformation in Statistical Machine Translation
Giancarlo Salton
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Robert Ross
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John Kelleher
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An Empirical Study of the Impact of Idioms on Phrase Based Statistical Machine Translation of English to Brazilian-Portuguese
Giancarlo Salton
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Robert Ross
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John Kelleher
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The Lexicon-Grammar of Italian Idioms
Simonetta Vietri
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How to Account for Idiomatic German Support Verb Constructions in Statistical Machine Translation
Fabienne Cap
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Manju Nirmal
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Marion Weller
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Sabine Schulte im Walde
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Building a Lexicon of Formulaic Language for Language Learners
Julian Brooke
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Adam Hammond
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David Jacob
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Vivian Tsang
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Graeme Hirst
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Fraser Shein
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Exploring Long-Term Temporal Trends in the Use of Multiword Expressions
Tal Daniel
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Mark Last
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Lexical Variability and Compositionality: Investigating Idiomaticity with Distributional Semantic Models
Marco Silvio Giuseppe Senaldi
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Gianluca E. Lebani
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Alessandro Lenci
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A Word Embedding Approach to Identifying Verb-Noun Idiomatic Combinations
Waseem Gharbieh
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Virendra Bhavsar
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Paul Cook
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The ATILF-LLF System for Parseme Shared Task: a Transition-based Verbal Multiword Expression Tagger
Hazem Al Saied
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Matthieu Constant
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Marie Candito
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Investigating the Opacity of Verb-Noun Multiword Expression Usages in Context
Shiva Taslimipoor
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Omid Rohanian
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Ruslan Mitkov
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Afsaneh Fazly
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Identification of Ambiguous Multiword Expressions Using Sequence Models and Lexical Resources
Manon Scholivet
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Carlos Ramisch
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Catching Idiomatic Expressions in EFL Essays
Michael Flor
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Beata Beigman Klebanov
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Towards a Computational Lexicon for Moroccan Darija: Words, Idioms, and Constructions
Jamal Laoudi
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Claire Bonial
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Lucia Donatelli
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Stephen Tratz
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Clare Voss
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The Other Side of the Coin: Unsupervised Disambiguation of Potentially Idiomatic Expressions by Contrasting Senses
Hessel Haagsma
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Malvina Nissim
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Johan Bos
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http://tedlab.mit
Field Of Study
Linguistic Trends
Typology
Task
Semantic Parsing
Information Retrieval
Language Generation
Machine Translation
Language
English
Japanese
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