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Coreference Resolution Using Semantic Features and Fully Connected Neural Network in the Persian Language

Hossein Sahlani, Maryam Hourali, Behrouz Minaei-Bidgoli
2020 International Journal of Computational Intelligence Systems  
In the process of coreference resolution, in this paper, a fully connected neural network approach has been adopted to enhance the performance of feature extraction whilst also facilitating the mention  ...  pair classification process for coreference resolution in the Persian language.  ...  ACKNOWLEDGMENTS The authors thank the Iran Telecommunication Researches Center for sharing the Persian coreference resolution corpus as well as the Data Mining lab at Iran University of Science and Technology  ... 
doi:10.2991/ijcis.d.200706.002 fatcat:tudgen2skvc5ljpt56w5677la4

On the Use of Parsing for Named Entity Recognition

Miguel A. Alonso, Carlos Gómez-Rodríguez, Jesús Vilares
2021 Applied Sciences  
Parsing is a core natural language processing technique that can be used to obtain the structure underlying sentences in human languages.  ...  we review the different approaches to NER that make use of syntactic information; and we propose a new way of using parsing in NER based on casting parsing itself as a sequence labeling task.  ...  The proposed approach of Luo et al. [128] to chemical NER is based on a neural network.  ... 
doi:10.3390/app11031090 fatcat:6suu3nnvonfzbmmi3uywcts5xq

Towards Personalized and Human-in-the-Loop Document Summarization [article]

Samira Ghodratnama
2021 arXiv   pre-print
We further propose solutions to the information overload problem in different domains through summarisation, covering network traffic data, health data and business process data.  ...  The ubiquitous availability of computing devices and the widespread use of the internet have generated a large amount of data continuously.  ...  The concatenated vector is fed into a fully connected network to estimate the similarity of summaries.  ... 
arXiv:2108.09443v2 fatcat:245c3byhg5htrnmbnoofexzh3u

Probing and Fine-tuning Reading Comprehension Models for Few-shot Event Extraction [article]

Rui Feng, Jie Yuan, Chao Zhang
2020 arXiv   pre-print
By constructing proper query templates, our approach can effectively distill rich knowledge about tasks and label semantics from pretrained reading comprehension models.  ...  Our experiment results show that our method performs strongly for zero-shot and few-shot event extraction, and it achieves state-of-the-art performance on the ACE 2005 benchmark when trained with full  ...  3 and 4 is the method used by Input Sentence:Orders went out today to deploy 17,000 US soldiers in the Persian Gulf region.  ... 
arXiv:2010.11325v1 fatcat:4v564b3y5rhwjkekppt5gsyxxm

On the Integration of LinguisticFeatures into Statistical and Neural Machine Translation [article]

Eva Vanmassenhove
2020 arXiv   pre-print
We cover a series of problems related to the integration of specific linguistic features into statistical and neural MT, aiming to analyse and provide a solution to some of them.  ...  ., 2016), that neural MT has surpassed statistical MT in many aspects. However, some problems remain and others have emerged.  ...  Every layer in the encoder and the decoder contains a fully connected feed- is problematic for a translation task, especially for morphologically rich or agglutinative languages.  ... 
arXiv:2003.14324v1 fatcat:hjmii6oob5cx3oxxmwlkzuqlgu

Multi-word Entity Classification in a Highly Multilingual Environment

Sophie Chesney, Guillaume Jacquet, Ralf Steinberger, Jakub Piskorski
2017 Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017)  
, and all involved participants for their interest in the workshop.  ...  We also want to thank the IC1207 COST Action PARSEME and SIGLEX for their endorsement and support, as well as the EACL 2017 organizers.  ...  This work has been using language resources developed and/or stored and/or distributed by the LINDAT-Clarin project of the Ministry of Education, Youth and Sports of the Czech Republic, project No.  ... 
doi:10.18653/v1/w17-1702 dblp:conf/mwe/ChesneyJSP17 fatcat:bv7aavgth5eurmzuphuowtuuhq

AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing [article]

Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, Sivanesan Sangeetha
2021 arXiv   pre-print
Transformer-based pretrained language models (T-PTLMs) have achieved great success in almost every NLP task. The evolution of these models started with GPT and BERT.  ...  Transformed-based PTLMs learn universal language representations from large volumes of text data using self-supervised learning and transfer this knowledge to downstream tasks.  ...  Edraw MindMaster is used to create all the diagrams in the paper.  ... 
arXiv:2108.05542v2 fatcat:4uyj6uut65d37hfi7yss2fek6q

A Lexicological Study of Arabic and Judaeo-Arabic in Iraqi Hebrew Novels [chapter]

Mohamed A. H. Ahmed
2019 Studies on Arabic Dialectology and Sociolinguistics  
These practices will be fully analyzed and discussed in the PhD thesis.  ...  In my paper, I will analyze the phonetic and semantic transformations of Persian loans and their evolution in Baghdadi Arabic (i.e. the Persian čangāl, "fork", formed a lexical family in Baghdadi Arabic  ...  of language use in the oasis, through the study of speakers' attitudes, beliefs and ideologies (Serreli 2011) .  ... 
doi:10.4000/books.iremam.3881 fatcat:b7ez7xwe2nbc3htyknpds3ckwu

Teacher's Role in the Reading Apprenticeship Framework: Aid by the Side or Sage by the Stage

Noosha Mehdian
2009 English Language Teaching  
Whenever the features of L2 and L3 are similar, the L3A is accelerated and vice versa. Abstract In the poetry creation, poets use many different writing techniques.  ...  The success of second language teachers is ultimately measured by how well their students have learned to communicate in the second language. ......Teachers who possess a sound knowledge of their subject  ...  The meaning of a word in the individual's mind is not composed of features like the typical description of words in semantics.  ... 
doi:10.5539/elt.v2n1p3 fatcat:fleqafus4zgmngyzoocokql7qa

Information Retrieval with Verbose Queries

Manish Gupta, Michael Bendersky
2015 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15  
We thank Mark Sanderson and Doug Oard for reviewing our first version and helping us produce a significantly improved final version.  ...  This survey shows that the work on information retrieval with verbose queries has already produced many valuable insights and significant improvements in the state-of-the-art of the current information  ...  We choose f to be a fully connected two-layer neural network with four hidden units, each having a tanh activation function, and with an output that is a linear combination of the hidden units.  ... 
doi:10.1145/2766462.2767877 dblp:conf/sigir/GuptaB15 fatcat:tgjnvqbbwfepjiggyecfaupqsa

Vol. 2, No. 2, June 2009

Editor ELT
2009 English Language Teaching  
concealed in the discourse should be further enhanced, and their language consciousness should be further improved.  ...  The analysis of two expresses indicated that the form embodied the meaning, and to express the meaning of ideology, the language system offered various measures, and the form was always selected, and CDA  ...  Learners have personal computers that have a wide bandwidth high-resolution network connection, full-motion imaging and video streaming to and from the video server system, digital media, digital video  ... 
doi:10.5539/elt.v2n2p0 fatcat:x4yt2apsvbgk5oe7roeqgsizby

Automatic Poetry Classification and Chronological Semantic Analysis [article]

Arya Rahgozar, University, My, University, My
Analyzing latent semantics is more challenging in poetry than in prose for evident reasons, such as conciseness, imaginary and metaphorical constructions.  ...  Our research will support semantic analysis, and help with the design and development of tools for poetry research.  ...  , neural networks and random forests.  ... 
doi:10.20381/ruor-24749 fatcat:maej5brlmfhexnghkfg6wt6r7e