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TRopBank: Turkish PropBank V2.0

Neslihan Kara, Deniz Baran Aslan, Büsra Marsan, Özge Bakay, Koray Ak, Olcay Taner Yildiz
2020 International Conference on Language Resources and Evaluation  
Predicate-argument information of a language can help understand semantic roles of arguments.  ...  In this paper, we present and explain TRopBank "Turkish PropBank v2.0". PropBank is a hand-annotated corpus of propositions which is used to obtain the predicate-argument information of a language.  ...  Semantic information is already covered for noun, adjective and complex predicates in FrameNet but PropBank expands its coverage to new predicate types.  ... 
dblp:conf/lrec/KaraAMBAY20 fatcat:slrdytoehfedzhxnoct35fream

The Revised Arabic PropBank

Wajdi Zaghouani, Mona T. Diab, Aous Mansouri, Sameer Pradhan, Martha Palmer
2010 Linguistic Annotation Workshop  
The revised Arabic PropBank (APB) reflects a number of changes to the data and the process of PropBanking. Several changes stem from Treebank revisions.  ...  We have revised the original 493 Frame Files from the Pilot APB and added 1462 new files for a total of 1955 Frame Files with 2446 framesets.  ...  We will reconcile the previous Arabic PropBank with the new Treebank and create an additional 3000 Frame files to cover the rest of the ATB3 verb types.  ... 
dblp:conf/acllaw/ZaghouaniDMPP10 fatcat:vjtgstfsnnhzxlijwfc6xweiwy

Improving Chinese-English PropBank Alignment

Shumin Wu, Martha Palmer
2015 Proceedings of the Ninth Workshop on Syntax, Semantics and Structure in Statistical Translation  
predicates to alignment Using nominal predicates can produce more semantically similar alignments 大 grand Alignment counts w/ nominal predicates 15 pred. type V c -V e N c -V e V c -N e N  ...  PropBank semantic annotation n A corpus annotated with verbal (and more recently nominal and adjective) propositions and their arguments. n Adds semantic information (semantic roles) to the phrase structures  ... 
doi:10.3115/v1/w15-1012 dblp:conf/ssst/WuP15 fatcat:rgh7ankyknb6jo55fdzz3tfym4

Dependency and Span, Cross-Style Semantic Role Labeling on PropBank and NomBank [article]

Zuchao Li, Hai Zhao, Junru Zhou, Kevin Parnow, Shexia He
2021 arXiv   pre-print
In this paper, we define a new cross-style semantic role label convention and propose a new cross-style joint optimization model designed around the most basic linguistic meaning of a semantic role, providing  ...  Our model learns a general semantic argument structure and is capable of outputting in either style.  ...  Predicate. We transform all annotated semantic arguments (not just a subset) in PropBank and NomBank and address propositions centered around both verbal (PropBank) and nominal (NomBank) predicates.  ... 
arXiv:1911.02851v2 fatcat:mp4mjl32andk3ptlblmz5rf6ke

Semantic role labeling via FrameNet, VerbNet and PropBank

Ana-Maria Giuglea, Alessandro Moschitti
2006 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06  
The results indicate that our model is an interesting step towards the design of more robust semantic parsers.  ...  This article describes a robust semantic parser that uses a broad knowledge base created by interconnecting three major resources: FrameNet, VerbNet and PropBank.  ...  This means that, although FN contains three types of predicates (nouns, adjectives and verbs), we only concentrated on the verb predicates and their roles.  ... 
doi:10.3115/1220175.1220292 dblp:conf/acl/GiugleaM06 fatcat:npzv7hlnxfgvzej3nuzwwgmuem

Cross-Lingual Validity of PropBank in the Manual Annotation of French

Lonneke van der Plas, Tanja Samardzic, Paola Merlo
2010 Linguistic Annotation Workshop  
Methods that re-use existing mono-lingual semantic annotation resources to annotate a new language rely on the hypothesis that the semantic annotation scheme used is cross-lingually valid.  ...  This label can have different extensions depending on the semantic type of the constituent, for example locatives and adverbials.  ...  It consists of a one-million-word corpus of naturally occurring sentences annotated with semantic structures and a lexicon (the PropBank frame files) that lists all the predicates (verbs) that can be found  ... 
dblp:conf/acllaw/PlasSM10 fatcat:ejesi5oddngzhekdhsmvottccy

PropBank Annotation Guidelines

Claire Bonial, Olga Babko-Malaya, Jinho Choi, Jena Hwang, Martha Palmer
2010 unpublished
To add a new predicate lemma, click [Edit -Add Predicate] on the menu (Ctrl+P) and type a new predicate lemma.  ...  Verb Annotation Instructions PropBank Annotation Goals PropBank is a corpus in which the arguments of each predicate are annotated with their semantic roles in relation to the predicate .  ...  This operator is also used to create a semantic link between relativizers and their referents, which are never coindexed in the TreeBank: TreeBank annotation: (NP *T*-6))))))))) PropBank annotation: Similarly  ... 
fatcat:yltqpf2wnngntcdofuuhuklvka

Towards semantic role labeling & IE in the medical literature

Yacov Kogan, Nigel Collier, Serguei Pakhomov, Michael Krauthammer
2005 AMIA Annual Symposium Proceedings  
Propbank is an adjunct to Penn Treebank that provides semantic annotation of predicates and the roles played by their arguments.  ...  We believe that semantic role labeling using Propbank is a valid approach to capture predicate relations in the medical literature.  ...  Propbank frame file adequately describes the use of a predicate B. Propank frame file describes different use of a predicate, and a new Frameset is added to Propbank.  ... 
pmid:16779072 pmcid:PMC1560806 fatcat:bziu4shu6fav3ivpwmjxhbzidi

Page 227 of Computational Linguistics Vol. 34, Issue 2 [page]

2008 Computational Linguistics  
The predicate-specific nature of the PropBank semantic roles is clear when com- pared with the FrameNet FE.  ...  While FrameNet annotates the semantic roles of both verbal and nominal predicates, the annotation of PropBank is limited to verbs, with the nominal predicates annotated in a separate but related project  ... 

Construction of a Turkish proposition bank

Koray AK, Cansu TOPRAK, Volkan ESGEL, Olcay Taner YILDIZ
2018 Turkish Journal of Electrical Engineering and Computer Sciences  
This paper describes our approach to developing the Turkish PropBank by adopting the semantic role-labeling guidelines of the original PropBank and using the translation of the English Penn-TreeBank as  ...  In the current phase of the project, more than 9500 sentences are semantically analyzed and predicate-argument information is extracted for 1330 verbs and 1914 verb senses.  ...  Currently, more than 9500 sentences are semantically analyzed and 1914 verb senses are annotated. We will simultaneously add new verbs and continue the annotation of our corpora.  ... 
doi:10.3906/elk-1703-79 fatcat:5vd3eg7nunddlcaqpik6s6jtxu

Towards comprehensive syntactic and semantic annotations of the clinical narrative

Daniel Albright, Arrick Lanfranchi, Anwen Fredriksen, William F Styler, Colin Warner, Jena D Hwang, Jinho D Choi, Dmitriy Dligach, Rodney D Nielsen, James Martin, Wayne Ward, Martha Palmer (+1 others)
2013 JAMIA Journal of the American Medical Informatics Association  
Results The final corpus consists of 13 091 sentences containing 1772 distinct predicate lemmas. Of the 766 newly created PropBank frames, 74 are verbs.  ...  type of Sign or Symptom (12.46%).  ...  We are very grateful for the help on UMLS annotations Drs Thomas Rindflesch and Marcelo Fiszman of the NLM provided along the way.  ... 
doi:10.1136/amiajnl-2012-001317 pmid:23355458 pmcid:PMC3756257 fatcat:6x5i52erszgvfi5y3szpgikxlq

Semantic Role Labeling Based Event Argument Identification

Wen Zhou, Yajun Zhang, Xiaoying Su, Yao Li, Zongtian Liu
2016 International Journal of Database Theory and Application  
A new method we call Semantic Role Labeling Based Event Argument Identification, based on the state-of-the-art methods of event extraction and event argument identification, is proposed.  ...  First, the 5W1H (who, what, whom, when, where, how) information is extracted from the text using semantic role labeling; thereafter, the 5W1H information is mapped to each argument of the event by heuristic  ...  Acknowledgements This paper is supported by National Science Foundation of China (No.71203135).  ... 
doi:10.14257/ijdta.2016.9.6.09 fatcat:dbejiypzjvbaxbhd4yauiluoy4

Shallow Semantic Parsing using Support Vector Machines

Sameer S. Pradhan, Wayne H. Ward, Kadri Hacioglu, James H. Martin, Daniel Jurafsky
2004 North American Chapter of the Association for Computational Linguistics  
We show performance improvements through a number of new features and measure their ability to generalize to a new test set drawn from the AQUAINT corpus.  ...  In this paper, we propose a machine learning algorithm for shallow semantic parsing, extending the work of Jurafsky (2002), Surdeanu et al. (2003) and others.  ...  We would like to thank Ralph Weischedel and Scott Miller of BBN Inc. for letting us use their named entity tagger -Iden-tiFinder; Martha Palmer for providing us with the PropBank data, Valerie Krugler  ... 
dblp:conf/naacl/PradhanWHMJ04 fatcat:77zvw5yjqvdxngslt2phnmled4

Building a Semantic Role Labelling System for Vietnamese [article]

Thai-Hoang Pham, Xuan-Khoai Pham, Phuong Le-Hong
2017 arXiv   pre-print
Semantic role labelling (SRL) is a task in natural language processing which detects and classifies the semantic arguments associated with the predicates of a sentence.  ...  Our SRL system achieves an F_1 score of 73.53% on the Vietnamese PropBank corpus.  ...  Therefore, we propose a new feature which captures predicate types.  ... 
arXiv:1705.04038v1 fatcat:zvgg6fnfffekfd3xlawuraexqu

Semantic treebanks and their uses for multi-level modelling of natural-language texts

Anton Anikin, Oleg Sychev
2018 Procedia Computer Science  
There are few generally accepted standards in that fast developing area, so different semantic banks vary significantly in the type of information they contain, especially on lexical level.  ...  task of ontology-based collaborative development of domain information space for learning and scientific research [4], for generating and rewriting texts of different types (fiction, marketing, scientific  ...  Acknowledgements This paper presents the results of research carried out under the RFBR grant 18-07-00032 "Intelligent support of decision making of knowledge management for learning and scientific research  ... 
doi:10.1016/j.procs.2018.11.011 fatcat:cj6u5hg67fhzri32sodif2tb5u
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