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Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling

Alan Akbik, laura chiticariu, Marina Danilevsky, Yunyao Li, Shivakumar Vaithyanathan, Huaiyu Zhu
2015 Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)  
We use our method to generate Proposition Banks with high to reasonable quality for 7 languages in three language families and release these resources to the research community.  ...  Semantic role labeling (SRL) is crucial to natural language understanding as it identifies the predicate-argument structure in text with semantic labels.  ...  Multilingual Experiments We use our method to generate Proposition Banks for 7 languages and evaluate the generated resources.  ... 
doi:10.3115/v1/p15-1039 dblp:conf/acl/AkbikcDLVZ15 fatcat:yvekwte3nbeczhsiapuwgcvapu

Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus [article]

Hao Fei and Meishan Zhang and Donghong Ji
2020 arXiv   pre-print
Many efforts of research are devoted to semantic role labeling (SRL) which is crucial for natural language understanding.  ...  In this paper, we propose a novel alternative based on corpus translation, constructing high-quality training datasets for the target languages from the source gold-standard SRL annotations.  ...  Introduction Semantic role labeling (SRL), which aims to capture the high-level meaning of a sentence, such as who did what to whom, is an underlying task for facilitating a broad range of natural language  ... 
arXiv:2004.06295v2 fatcat:bo2b3c2asjhjpf3xbam74qpejm

X-SRL: A Parallel Cross-Lingual Semantic Role Labeling Dataset [article]

Angel Daza, Anette Frank
2020 arXiv   pre-print
We apply high-quality machine translation to the English CoNLL-09 dataset and use multilingual BERT to project its high-quality annotations to the target languages.  ...  In fact, existing multilingual SRL datasets contain disparate annotation styles or come from different domains, hampering generalization in multilingual learning.  ...  Acknowledgements We thank our reviewers for their insightful comments.  ... 
arXiv:2010.01998v1 fatcat:qcxrjwnwbrhyvkihvwnjxgobly

Cross-lingual Semantic Role Labeling with Model Transfer [article]

Hao Fei and Meishan Zhang and Fei Li and Donghong Ji
2020 arXiv   pre-print
Prior studies show that cross-lingual semantic role labeling (SRL) can be achieved by model transfer under the help of universal features.  ...  We study both the bilingual transfer and multi-source transfer, under gold or machine-generated syntactic inputs, pre-trained high-order abstract features, and contextualized multilingual word representations  ...  Semantic Role Labeling A line of research efforts has been made for semantic role labeling.  ... 
arXiv:2008.10284v1 fatcat:v3zwcyw22faz3ifofq5mrh2gpu

Transferring Semantic Roles Using Translation and Syntactic Information [article]

Maryam Aminian, Mohammad Sadegh Rasooli, Mona Diab
2017 arXiv   pre-print
Our paper addresses the problem of annotation projection for semantic role labeling for resource-poor languages using supervised annotations from a resource-rich language through parallel data.  ...  Our experiments yield a 3.5 absolute labeled F-score improvement over a standard annotation projection method.  ...  Acknowledgments This work has been partly funded by DARPA LORELEI Grant and generous support by Leidos Corp. for the 1st and 3rd authors.  ... 
arXiv:1710.01411v1 fatcat:zcl2mcd72rd53hhqcz5jvro3ry

Building a Hebrew Semantic Role Labeling Lexical Resource from Parallel Movie Subtitles [article]

Ben Eyal, Michael Elhadad
2020 arXiv   pre-print
We present a semantic role labeling resource for Hebrew built semi-automatically through annotation projection from English.  ...  We provide a fully annotated version of the data including morphological analysis, dependency syntax and semantic role labeling in both FrameNet and PropBank styles.  ...  Generating high quality proposition Banks for multilingual semantic role tics, NODALIDA 2011 , May 11-13, 2011 , Riga, Latvia, pages 34-41. Borin, L., Dannélls, D., Forsberg, M., Gronostaj, M.  ... 
arXiv:2005.08206v1 fatcat:paihwzsl4baxnixb3n22mzy5iu

Improving Chinese Semantic Role Labeling using High-quality Surface and Deep Case Frames

Gongye Jin, Daisuke Kawahara, Sadao Kurohashi
2017 Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers  
This paper presents a method for improving semantic role labeling (SRL) using a large amount of automatically acquired knowledge.  ...  To compensate the deficiency of the surface case frames, we compile deep case frames from automatic semantic roles.  ...  The experimental results showed a promising result for high-quality semantic role selection.  ... 
doi:10.18653/v1/e17-1054 dblp:conf/eacl/KurohashiKJ17 fatcat:e3mycyjdm5eubo5harithkciry

Ontologies: a revamped cross-disciplinary buzzword or a truly promising interdisciplinary research topic?

Peter Spyns, Jan De Bo
2021 Linguistica Antverpiensia, New Series – Themes in Translation Studies  
A specific ontology engineering methodology (VUB STAR Lab DOGMA) will be presented and emphasis will be put on the specific role and contribution of (multilingual) terminography in this ontology.  ...  The following article provides an introductory overview of the different research domains (computational linguistics, termino graphy, artificial intelligence (AI), philosophy and database semantics) for  ...  An elementary fact is a simple assertion, or atomic proposition, about the universe of discourse. They are simple assertions stating that particular objects play particular roles.  ... 
doi:10.52034/lanstts.v3i.117 fatcat:tffezu3uqrdshaa6wd22wmb37q

Thirty Musts for Meaning Banking [article]

Johan Bos, Lasha Abzianidze
2020 arXiv   pre-print
Meaning banking--creating a semantically annotated corpus for the purpose of semantic parsing or generation--is a challenging task.  ...  This paper lists some lessons learned in nearly ten years of meaning annotation during the development of the Groningen Meaning Bank (Bos et al., 2017) and the Parallel Meaning Bank (Abzianidze et al.,  ...  Acknowledgments We would like to thank the two anonymous reviewers for their comments-they helped to improve this paper considerably.  ... 
arXiv:2005.13421v1 fatcat:vth6hmtxunfnjnja6vkw7nrzou

Domains and context: First steps towards managing diversity in knowledge

Fausto Giunchiglia, Vincenzo Maltese, Biswanath Dutta
2012 Journal of Web Semantics  
The first is that of using domains, i.e. a general semantic-aware methodology and technique for structuring the background knowledge.  ...  Despite the progress made, one of the main barriers towards the use of semantics is the lack of background knowledge.  ...  For all the labels in the -Mapping the semantic matching problem in the general three steps. two classifications compute the concept at label 2.  ... 
doi:10.1016/j.websem.2011.11.007 fatcat:byeefjjw4fd3dovftt5z3sgvqi

Modular Grammar Engineering in GF

Aarne Ranta
2007 Research on Language and Computation  
The Grammatical Framework GF is a grammar formalism designed for multilingual grammars.  ...  The goal is to make it possible for linguistically untrained programmers to write linguistically correct application grammars encoding the semantics of special domains.  ...  The work was financed from grant 2002-4879, Records, Types and Computational Dialogue Semantics, from Vetenskapsrådet.  ... 
doi:10.1007/s11168-007-9030-6 fatcat:saizu6remvd7pafk4sf4igmf7q


1978 Journal of Documentation  
The dictionary for analysis may be divided into one containing only morphological information, one for only semantic information, one for high-frequency words, one for irregular forms (e.g. of verbs),  ...  banks' which would combine in one integrated system multilingual dictionaries for lexicographic work (for production of dictionaries and glossaries and for co-ordination and standardization of terminology  ... 
doi:10.1108/eb026657 fatcat:3qdsjriq5nfgzoxohhhou4lpda

Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model

James Henderson, Paola Merlo, Ivan Titov, Gabriele Musillo
2013 Computational Linguistics  
In this article, we report on a joint generative history-based model to predict the most likely derivation of a dependency parser for both syntactic and semantic dependencies, in multiple languages.  ...  We also propose novel derivations for semantic dependency structures, which are appropriate for the relatively unconstrained nature of these graphs.  ...  Acknowledgments The authors would particularly like to thank Andrea Gesmundo for his help with the CoNLL-2009 shared task.  ... 
doi:10.1162/coli_a_00158 fatcat:mtvi7qkngjgrhjyyztr4zf5itq

About Inferences in a Crowdsourced Lexical-Semantic Network

Mathieu Lafourcade, Manel Zarrouk, Alain Joubert
2014 Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics  
The approach we propose is based on the triangulation method implementing semantic transitivity with a blocking mechanism for avoiding proposing dubious new relations.  ...  Lexical-semantic network construction and validation is a major issue in the NLP.  ...  Inference and Reconciliation for an Elicitation Engine We designed a system for augmenting the number of relations in the JDM lexical network having two main components: (a) an inference engine and (b)  ... 
doi:10.3115/v1/e14-1019 dblp:conf/eacl/LafourcadeZJ14 fatcat:duie2m7cvbdi5b4odeitppltku

Language Technology 2020: The Meta-Net Priority Research Themes [chapter]

Georg Rehm, Hans Uszkoreit
2013 META-NET Strategic Research Agenda for Multilingual Europe 2020  
For example, grammatical analysis (which one may or may not decompose further into tagging, syntactic parsing, and semantic role labelling) should make available a sufficiently abstract, normalised, and  ...  models From very fast but lower quality to slower but very high quality (including instant quality upgrades) Exploiting strong monolingual analysis and generation methods and resources Multiple  ... 
doi:10.1007/978-3-642-36349-8_6 fatcat:jezmk52phre4lguizqtyh7gule
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