MWE 2017: all accepted papers
- The PARSEME Shared Task on Automatic Identification of Verbal Multiword ExpressionsAgata Savary, Carlos Ramisch, Silvio Cordeiro et al.106 citations · our summary
- Neural Networks for Multi-Word Expression Detection ↗Natalia Klyueva, Antoine Doucet, Milan Straka35 citations
- Detection of Verbal Multi-Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re-Ranking ↗Alfredo Maldonado, Lifeng Han, Erwan Moreau et al.29 citations
- The ATILF-LLF System for Parseme Shared Task: a Transition-based Verbal Multiword Expression Tagger ↗Hazem Al Saied, Matthieu Constant, Marie Candito18 citations
- Understanding Idiomatic Variation ↗Kristina Geeraert, R. Harald Baayen, John Newman18 citations
- Simple Compound Splitting for German ↗Marion Weller-Di Marco17 citations
- Parsing and MWE Detection: Fips at the PARSEME Shared Task ↗Vasiliki Foufi, Luka Nerima, Éric Wehrli13 citations
- Using bilingual word-embeddings for multilingual collocation extraction ↗Marcos Garcia, Marcos García-Salido, Margarita Alonso-Ramos11 citations
- USzeged: Identifying Verbal Multiword Expressions with POS Tagging and Parsing Techniques ↗Katalin Ilona Simkó, Viktória Kovács, Veronika Vincze10 citations
- A data-driven approach to verbal multiword expression detection. PARSEME Shared Task system description paper ↗Tiberiu Boros, Sonia Pipa, Verginica Barbu Mititelu et al.9 citations
- Identification of Ambiguous Multiword Expressions Using Sequence Models and Lexical Resources ↗Manon Scholivet, Carlos Ramisch9 citations
- Multi-word Entity Classification in a Highly Multilingual Environment ↗Sophie Chesney, Guillaume Jacquet, Ralf Steinberger et al.9 citations
- Complex Verbs are Different: Exploring the Visual Modality in Multi-Modal Models to Predict Compositionality ↗Maximilian Köper, Sabine Schulte im Walde5 citations
- Compositionality in Verb-Particle Constructions ↗Archna Bhatia, Choh Man Teng, James Allen5 citations
- Investigating the Opacity of Verb-Noun Multiword Expression Usages in Context ↗Shiva Taslimipoor, Omid Rohanian, Ruslan Mitkov et al.5 citations
- Combining Linguistic Features for the Detection of Croatian Multiword Expressions ↗Maja Buljan, Jan Šnajder4 citations
- Identification of Multiword Expressions for Latvian and Lithuanian: Hybrid Approach ↗Justina Mandravickaitė, Tomas Krilavičius4 citations
- Rule-Based Translation of Spanish Verb-Noun Combinations into Basque ↗Uxoa Iñurrieta, Itziar Aduriz, Arantza Díaz de Ilarraza et al.4 citations
- Discovering Light Verb Constructions and their Translations from Parallel Corpora without Word Alignment ↗Natalie Vargas, Carlos Ramisch, Helena Caseli3 citations
- Factoring Ambiguity out of the Prediction of Compositionality for German Multi-Word Expressions ↗Stefan Bott, Sabine Schulte im Walde3 citations
- Comparing Recurring Lexico-Syntactic Trees (RLTs) and Ngram Techniques for Extended Phraseology Extraction ↗Agnès Tutin, Olivier Kraif1 citation
- Multiword expressions and lexicalism: the view from LFG ↗Jamie Y. Findlay1 citation
- Semantic annotation to characterize contextual variation in terminological noun compounds: a pilot study ↗Melania Cabezas-García, Antonio San Martín1 citation
- Semi-Automated Resolution of Inconsistency for a Harmonized Multiword Expression and Dependency Parse Annotation ↗King Chan, Julian Brooke, Timothy Baldwin1 citation
- Benchmarking Joint Lexical and Syntactic Analysis on Multiword-Rich Data ↗Matthieu Constant, Héctor Martinez Alonso
- ParaDi: Dictionary of Paraphrases of Czech Complex Predicates with Light Verbs ↗Petra Barančíková, Václava Kettnerová
- Verb-Particle Constructions in Questions ↗Veronika Vincze
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