- DSpace@MIT Home
- MIT Libraries
- Graduate Theses
Improving clinical decision making with natural language processing and machine learning
Other Contributors
Terms of use, description, date issued, collections.
Show Statistical Information
Subscribe to the PwC Newsletter
Join the community, natural language processing, language modelling.
Long-range modeling
Protein language model, sentence pair modeling, representation learning.
Disentanglement
Graph representation learning, sentence embeddings.
Network Embedding
Classification.
Text Classification
Graph Classification
Audio Classification
Medical Image Classification
Text retrieval, deep hashing, table retrieval, question answering.
Open-Ended Question Answering
Open-Domain Question Answering
Conversational question answering.
Knowledge Base Question Answering
Nlp based person retrival, image generation.
Image-to-Image Translation
Text-to-Image Generation
Image Inpainting
Conditional Image Generation
Translation, data augmentation.
Image Augmentation
Text Augmentation
Large language model.
Knowledge Graphs
Machine translation.
Transliteration
Multimodal Machine Translation
Bilingual lexicon induction.
Unsupervised Machine Translation
Knowledge graph completion, triple classification, inductive knowledge graph completion, inductive relation prediction, text generation.
Dialogue Generation
Data-to-Text Generation
Multi-Document Summarization
Story Generation
2d semantic segmentation, image segmentation, text style transfer.
Scene Parsing
Reflection Removal
Topic Models
Document Classification
Sentence Classification
Emotion Classification
Visual question answering (vqa).
Visual Question Answering
Machine Reading Comprehension
Chart Question Answering
Chart understanding, sentiment analysis.
Aspect-Based Sentiment Analysis (ABSA)
Multimodal Sentiment Analysis
Aspect Sentiment Triplet Extraction
Twitter Sentiment Analysis
Named entity recognition (ner).
Nested Named Entity Recognition
Chinese named entity recognition, few-shot ner, few-shot learning.
One-Shot Learning
Few-Shot Semantic Segmentation
Cross-domain few-shot.
Unsupervised Few-Shot Learning
Optical character recognition (ocr).
Active Learning
Handwriting Recognition
Handwritten digit recognition, irregular text recognition, word embeddings.
Learning Word Embeddings
Multilingual Word Embeddings
Embeddings evaluation, contextualised word representations, continual learning.
Class Incremental Learning
Continual named entity recognition, unsupervised class-incremental learning, information retrieval.
Passage Retrieval
Cross-lingual information retrieval, table search, text summarization.
Abstractive Text Summarization
Document summarization, opinion summarization, relation extraction.
Relation Classification
Document-level relation extraction, joint entity and relation extraction, temporal relation extraction, link prediction.
Inductive Link Prediction
Dynamic link prediction, hyperedge prediction, anchor link prediction, natural language inference.
Answer Generation
Visual Entailment
Cross-lingual natural language inference, reading comprehension.
Intent Recognition
Implicit relations, active object detection, emotion recognition.
Speech Emotion Recognition
Emotion Recognition in Conversation
Multimodal Emotion Recognition
Emotion-cause pair extraction, natural language understanding, vietnamese social media text processing.
Emotional Dialogue Acts
Image captioning.
3D dense captioning
Controllable image captioning, aesthetic image captioning.
Relational Captioning
Semantic textual similarity.
Paraphrase Identification
Cross-Lingual Semantic Textual Similarity
Event extraction, event causality identification, zero-shot event extraction, in-context learning, dialogue state tracking, task-oriented dialogue systems.
Visual Dialog
Dialogue understanding, coreference resolution, coreference-resolution, cross document coreference resolution, code generation.
Code Translation
Code documentation generation, class-level code generation, library-oriented code generation, semantic parsing.
AMR Parsing
Semantic dependency parsing, drs parsing, ucca parsing, conformal prediction.
Text Simplification
Music Source Separation
Decision Making Under Uncertainty
Audio source separation, semantic similarity.
Sentence Embedding
Sentence compression, joint multilingual sentence representations, sentence embeddings for biomedical texts, specificity, instruction following, visual instruction following, dependency parsing.
Transition-Based Dependency Parsing
Prepositional phrase attachment, unsupervised dependency parsing, cross-lingual zero-shot dependency parsing, information extraction, extractive summarization, temporal information extraction, document-level event extraction, cross-lingual, cross-lingual transfer, cross-lingual document classification.
Cross-Lingual Entity Linking
Cross-language text summarization, common sense reasoning.
Physical Commonsense Reasoning
Riddle sense, memorization, response generation, prompt engineering.
Visual Prompting
Data integration.
Entity Alignment
Entity Resolution
Table annotation, mathematical reasoning.
Math Word Problem Solving
Formal logic, geometry problem solving, abstract algebra, entity linking.
Question Generation
Poll generation.
Topic coverage
Dynamic topic modeling, part-of-speech tagging.
Unsupervised Part-Of-Speech Tagging
Abuse detection, hate speech detection, open information extraction.
Hope Speech Detection
Hate speech normalization, hate speech detection crisishatemm benchmark, data mining.
Argument Mining
Opinion Mining
Subgroup discovery, cognitive diagnosis, parallel corpus mining, bias detection, selection bias, language identification, dialect identification, native language identification, word sense disambiguation.
Word Sense Induction
Fake news detection, few-shot relation classification, implicit discourse relation classification, cause-effect relation classification, intrusion detection.
Network Intrusion Detection
Relational Reasoning
Semantic Role Labeling
Predicate Detection
Semantic role labeling (predicted predicates).
Textual Analogy Parsing
Grammatical error correction.
Grammatical Error Detection
Text matching, slot filling.
Zero-shot Slot Filling
Extracting covid-19 events from twitter, symbolic regression, equation discovery, pos tagging, document text classification.
Learning with noisy labels
Multi-label classification of biomedical texts, political salient issue orientation detection, spoken language understanding, dialogue safety prediction, stance detection, zero-shot stance detection, few-shot stance detection, stance detection (us election 2020 - biden), stance detection (us election 2020 - trump), deep clustering, trajectory clustering, deep nonparametric clustering, nonparametric deep clustering, intent detection.
Open Intent Detection
Multi-modal entity alignment, word similarity, model editing, knowledge editing, document ai, document understanding, cross-modal retrieval, image-text matching, cross-modal retrieval with noisy correspondence, multilingual cross-modal retrieval.
Zero-shot Composed Person Retrieval
Cross-modal retrieval on rsitmd, fact verification, text-to-speech synthesis.
Prosody Prediction
Zero-shot multi-speaker tts, zero-shot cross-lingual transfer, cross-lingual ner, intent classification.
Self-Learning
Language acquisition, grounded language learning, constituency parsing.
Constituency Grammar Induction
Entity typing.
Entity Typing on DH-KGs
Ad-hoc information retrieval, document ranking.
Word Alignment
Open-domain dialog, dialogue evaluation, line items extraction, abstract meaning representation, multimodal deep learning, multimodal text and image classification, novelty detection.
text-guided-image-editing
Text-based image editing, concept alignment.
Zero-Shot Text-to-Image Generation
Conditional text-to-image synthesis, multi-label text classification.
Shallow Syntax
Explanation generation, molecular representation, discourse parsing, discourse segmentation, connective detection, de-identification, privacy preserving deep learning, morphological analysis.
Sarcasm Detection
Conversational Search
Text-to-video generation, text-to-video editing, subject-driven video generation, lemmatization, speech-to-text translation, simultaneous speech-to-text translation.
Aspect Extraction
Aspect category sentiment analysis, extract aspect.
Aspect-Category-Opinion-Sentiment Quadruple Extraction
Aspect-oriented Opinion Extraction
Session search.
Chinese Word Segmentation
Handwritten chinese text recognition, chinese spelling error correction, chinese zero pronoun resolution, offline handwritten chinese character recognition, entity disambiguation, authorship attribution, source code summarization, method name prediction, text clustering.
Short Text Clustering
Open Intent Discovery
Linguistic acceptability.
Column Type Annotation
Cell entity annotation, columns property annotation, row annotation, abusive language, keyphrase extraction.
Visual Storytelling
KG-to-Text Generation
Unsupervised KG-to-Text Generation
Few-shot text classification, zero-shot out-of-domain detection, protein folding, term extraction, multilingual nlp, text2text generation, keyphrase generation, figurative language visualization, sketch-to-text generation, morphological inflection, phrase grounding, grounded open vocabulary acquisition, deep attention, spam detection, context-specific spam detection, traditional spam detection, word translation, natural language transduction, image-to-text retrieval, summarization, unsupervised extractive summarization, query-focused summarization.
Cross-Lingual Word Embeddings
Knowledge base population, passage ranking, conversational response selection, text annotation, key information extraction, authorship verification.
Keyword Extraction
Multimodal association, multimodal generation, video generation, image to video generation.
Unconditional Video Generation
Biomedical information retrieval.
SpO2 estimation
Meme classification, hateful meme classification, news classification, graph-to-sequence, automated essay scoring, nlg evaluation, key point matching, component classification, argument pair extraction (ape), claim extraction with stance classification (cesc), claim-evidence pair extraction (cepe), temporal processing, timex normalization, document dating, sentence summarization, unsupervised sentence summarization, morphological tagging, long-context understanding, weakly supervised classification, weakly supervised data denoising, entity extraction using gan.
Rumour Detection
Emotional intelligence, dark humor detection, semantic retrieval, sentence ordering, comment generation.
Review Generation
Semantic composition.
Goal-Oriented Dialog
User simulation, lexical simplification, conversational response generation.
Personalized and Emotional Conversation
Token classification, toxic spans detection.
Blackout Poetry Generation
Passage re-ranking, sentence-pair classification, subjectivity analysis.
Taxonomy Learning
Taxonomy expansion, hypernym discovery, humor detection.
Lexical Normalization
Pronunciation dictionary creation, negation detection, negation scope resolution, question similarity, medical question pair similarity computation, intent discovery, reverse dictionary, propaganda detection, propaganda span identification, propaganda technique identification, lexical analysis, lexical complexity prediction, question rewriting, punctuation restoration, attribute value extraction.
Hallucination Evaluation
Legal reasoning, meeting summarization, table-based fact verification, pretrained multilingual language models, formality style transfer, semi-supervised formality style transfer, word attribute transfer, aspect category detection, diachronic word embeddings, extreme summarization.
Persian Sentiment Analysis
Binary classification, llm-generated text detection, cancer-no cancer per breast classification, cancer-no cancer per image classification, stable mci vs progressive mci, suspicous (birads 4,5)-no suspicous (birads 1,2,3) per image classification, clinical concept extraction.
Clinical Information Retreival
Constrained clustering.
Only Connect Walls Dataset Task 1 (Grouping)
Incremental constrained clustering, recognizing emotion cause in conversations.
Causal Emotion Entailment
trustable and focussed LLM generated content
Game design, dialog act classification, decipherment, nested mention recognition, relationship extraction (distant supervised), text compression, handwriting verification, bangla spelling error correction, clickbait detection, code repair, gender bias detection, probing language models, semantic entity labeling, ccg supertagging, linguistic steganography, toponym resolution.
Timeline Summarization
Multimodal abstractive text summarization, reader-aware summarization, stock prediction, text-based stock prediction, pair trading, event-driven trading, vietnamese visual question answering, explanatory visual question answering, arabic text diacritization, fact selection, thai word segmentation, vietnamese datasets.
Face to Face Translation
Multimodal lexical translation, semantic shift detection, similarity explanation, aggression identification, arabic sentiment analysis, commonsense causal reasoning, complex word identification, sign language production, suggestion mining, temporal relation classification, vietnamese word segmentation, speculation detection, speculation scope resolution, aspect category polarity, cross-lingual bitext mining, morphological disambiguation, multi-agent integration, scientific document summarization, lay summarization, text anonymization, text attribute transfer.
Image-guided Story Ending Generation
Abstract argumentation, chinese spell checking, dialogue rewriting, logical reasoning reading comprehension.
Unsupervised Sentence Compression
Stereotypical bias analysis, temporal tagging, anaphora resolution, bridging anaphora resolution.
Abstract Anaphora Resolution
Hope speech detection for english, hope speech detection for malayalam, hope speech detection for tamil, hidden aspect detection, latent aspect detection, personality generation, personality alignment, attribute mining, cognate prediction, japanese word segmentation, memex question answering, polyphone disambiguation, spelling correction, table-to-text generation.
KB-to-Language Generation
Vietnamese language models, zero-shot machine translation, zero-shot sentiment classification, conditional text generation, contextualized literature-based discovery, multimedia generative script learning, image-sentence alignment, open-world social event classification, action parsing, author attribution, binary condescension detection, context query reformulation, conversational web navigation, croatian text diacritization, czech text diacritization, definition modelling, document-level re with incomplete labeling, domain labelling, french text diacritization, hungarian text diacritization, irish text diacritization, latvian text diacritization, literature mining, misogynistic aggression identification, morpheme segmentaiton, multi-label condescension detection, news annotation, open relation modeling, personality recognition in conversation.
Reading Order Detection
Record linking, role-filler entity extraction, romanian text diacritization, simultaneous speech-to-speech translation, slovak text diacritization, spanish text diacritization, syntax representation, text-to-video search, turkish text diacritization, turning point identification, twitter event detection.
Vietnamese Scene Text
Vietnamese text diacritization.
Conversational Sentiment Quadruple Extraction
Attribute extraction, legal outcome extraction, automated writing evaluation, binary text classification, detection of potentially void clauses, chemical indexing, clinical assertion status detection.
Coding Problem Tagging
Collaborative plan acquisition, commonsense reasoning for rl.
Variable Disambiguation
Cross-lingual text-to-image generation, crowdsourced text aggregation.
Description-guided molecule generation
Multi-modal Dialogue Generation
Page stream segmentation.
Email Thread Summarization
Emergent communications on relations, emotion detection and trigger summarization, extractive tags summarization.
Hate Intensity Prediction
Hate span identification, job prediction, joint entity and relation extraction on scientific data, joint ner and classification, math information retrieval, meme captioning, multi-grained named entity recognition, multilingual machine comprehension in english hindi, multimodal text prediction, negation and speculation cue detection, negation and speculation scope resolution, only connect walls dataset task 2 (connections), overlapping mention recognition, paraphrase generation, multilingual paraphrase generation, phrase ranking, phrase tagging, phrase vector embedding, poem meters classification, query wellformedness.
Question-Answer categorization
Readability optimization, reliable intelligence identification, sentence completion, hurtful sentence completion, social media mental health detection, speaker attribution in german parliamentary debates (germeval 2023, subtask 1), text effects transfer, text-variation, vietnamese aspect-based sentiment analysis, sentiment dependency learning, vietnamese natural language understanding, vietnamese sentiment analysis, vietnamese multimodal sentiment analysis, web page tagging, workflow discovery, answerability prediction, incongruity detection, multi-word expression embedding, multi-word expression sememe prediction, pcl detection, semeval-2022 task 4-1 (binary pcl detection), semeval-2022 task 4-2 (multi-label pcl detection), automatic writing, complaint comment classification, counterspeech detection, extractive text summarization, face selection, job classification, multi-lingual text-to-image generation, multlingual neural machine translation, optical charater recogntion, bangla text detection, question to declarative sentence, relation mention extraction.
Tweet-Reply Sentiment Analysis
Vietnamese fact checking, vietnamese parsing.
Text Summarizing Using NLP
- December 2021
- CC BY-NC 4.0
- In book: Recent Trends in Intensive Computing
- Amrita Sai Institute of Science and Technology
- National Institute of Technology Rourkela
- This person is not on ResearchGate, or hasn't claimed this research yet.
Abstract and Figures
Discover the world's research
- 25+ million members
- 160+ million publication pages
- 2.3+ billion citations
- Pramila Rani
- Anasuya Dutta
- Anusha V. Salimath
- Neelima Bhatia
- Arunima Jaiswal
- IBM J RES DEV
- Jon Kleinberg
- D Van Der Laan
- Pratibha Devihosur
- C Namrata Gaikwad
- G Vijay Kumar
- Recruit researchers
- Join for free
- Login Email Tip: Most researchers use their institutional email address as their ResearchGate login Password Forgot password? Keep me logged in Log in or Continue with Google Welcome back! Please log in. Email · Hint Tip: Most researchers use their institutional email address as their ResearchGate login Password Forgot password? Keep me logged in Log in or Continue with Google No account? Sign up
Christopher Manning and Ph.D. Students’ Dissertations
0. . 1994-12. Ph.D. thesis, Stanford University, Department of Linguistics. xiv+282 pp. (Advised by – see also .) | ||||
1. . 1998-06. Ph.D. thesis, University of Sydney, Department of Linguistics. vii+300 pp. (Co-advised by Toni Borowsky and Jane Simpson.) | ||||
2. . 2004-06. Ph.D. thesis, Stanford University, Scientific Computing and Computational Mathematics. xviii+174 pp. | ||||
3. . 2005-03. Ph.D. thesis, Stanford University, Department of Computer Science. xvi+124 pp. | ||||
4. . 2005-09. Ph.D. thesis, Stanford University, Department of Computer Science. xvi+170 pp. | ||||
5. . 2005-09. Ph.D. thesis, Stanford University, Department of Linguistics. xvi+179 pp. | ||||
6. . 2009-06. Ph.D. thesis, Stanford University, Department of Computer Science. xiv+165 pp. | ||||
7. . 2009-08. Ph.D. thesis, Stanford University, Department of Computer Science. xv+139 pp. | ||||
8. . 2010-08. Ph.D. thesis, Stanford University, Department of Computer Science. xvi+153 pp. | ||||
9. . 2011-12. Ph.D. thesis, Stanford University, Department of Computer Science. xvi+162 pp. | ||||
10. (Robert Monarch). 2012-06. Ph.D. thesis, Stanford University, Department of Linguistics. xv+207 pp. | ||||
11. . 2012-11. Ph.D. thesis, Stanford University, Department of Linguistics. xiv+164 pp. | ||||
12. . 2013-03. Ph.D. thesis, Stanford University, Department of Computer Science. xx+176 pp. (Co-advised with Jeffrey Heer.) | ||||
13. (王孟秋). 2014-03. Ph.D. thesis, Stanford University, Department of Computer Science. xv+149 pp. | ||||
14. . 2014-08. Ph.D. thesis, Stanford University, Department of Computer Science. xiv+190 pp. (Co-advised by Andrew Ng.) | ||||
15. . 2014-12. Ph.D. thesis, Stanford University, Department of Computer Science. xvii+161 pp. (Co-advised by Jeffrey Heer.) | ||||
16. . 2015-06. Ph.D. thesis, Stanford University, Department of Computer Science. xvii+153 pp. | ||||
17. . 2015-12. Ph.D. thesis, Stanford University, Department of Computer Science. xviii+185 pp. | ||||
18. . 2016-06. Ph.D. thesis, Stanford University, Department of Computer Science. xi+131 pp. | ||||
19. . 2016-07. Ph.D. thesis, Stanford University, Department of Linguistics. xvi+158 pp. (Co-advised by Chris Potts.) | ||||
20. . 2016-08. Ph.D. thesis, Stanford University, Department of Linguistics. xiv+259 pp. | ||||
21. (Lương Minh Thắng). 2016-12. . Ph.D. thesis, Stanford University, Department of Computer Science. xiii+143 pp. | ||||
22. . 2017-08. . Ph.D. thesis, Stanford University, Department of Computer Science. x+93 pp. | ||||
23. (陈丹琦). 2018-12. Ph.D. thesis, Stanford University, Department of Computer Science. xvi+140 pp. | ||||
24. . 2019-05. Ph.D. thesis, Stanford University, Department of Linguistics. x+183 pp. | ||||
25. Peng Qi (齐鹏). 2020-08. | ||||
26. Yuhao Zhang (张宇浩). 2021-03. (Co-advised with Curt Langlotz.) | ||||
27. Kevin Clark. 2021-03. | ||||
28. Abigail See. 2021-08. | ||||
29. Ashwin Paranjape. 2022-08. | ||||
30. Jenny (Yun) Hong. 2023-03. Ph.D. thesis, Stanford University, Department of Management Science and Engineering. xiv+182 pp. | ||||
31. Eric Mitchell. 2024-06. |
Christopher Manning ’s academic ancestors’ dissertations
−1. . 1972. Ph.D. thesis, Massachusetts Institute of Technology, Department of Foreign Literatures and Linguistics. 321 pp. | ||||
−2. . 1955. Ph.D. thesis, University of Pennsylvania, Department of Linguistics. xiii+175 pp. | ||||
−3. . 1934. Ph.D. thesis, University of Pennsylvania. | ||||
−4. . 1904. Ph.D. thesis, University of Pennsylvania. | ||||
−5. . 1883. [Charter of Nebuchadnezzar I, king of Babylonia c. 1130 BC, published, paraphrased and translated for the first time]. Dr. phil. dissertation, Universität Leipzig. | ||||
−6. . 1873. [Studies on the relationship between Indo-European and Semitic roots]. Dr. phil. dissertation, Universität Leipzig. | ||||
. | ||||
−7. . 1860. [On the general nature of the Ethiopian language compared with its cognate languages]. D. Phil. dissertation, Georg-August-Universität Göttingen. |
COMMENTS
Abstract The central goal of this thesis is to bridge the divide between theoretical linguistics—the scien-tific inquiry of language—and applied data-driven statistical language processing, to provide
recursive deep learning for natural language processing and computer vision a dissertation submitted to the department of computer science and the committee on ...
The Stanford Natural Language Processing Group
Institut fur Maschinelle Sprachverarbeitung Universit at Stuttgart Pfa enwaldring 5B D-70569 Stuttgart Machine Translation with Transformers Truong Thinh Nguyen
Introduction to Transformers If there are Lencoding layers, then HLwill be the output of the encoder.In this case, HL can be viewed as a representation of the input sequence that is learned by the Transformer
3 Chapter 1 Introduction Natural Language Processing (NLP) is a discipline which makes an effort to "gather knowledge on how human beings understand and use language so that appropriate tools and
Acknowledgments Iwouldliketothankmyadvisor, ProfessorSang-GookKim, formentoringmeand always providing encouragement and direction. Professor Kim taught me very im-
A diagram showing the NLP continuum (adopted from Church and Rau [16]) Figure 1 shows a number of technologies ranging from well-understood technologies, such as string matching, to more forward ...
Natural language processing (NLP) deals with building computational techniques that allow computers to automatically analyze and meaningfully represent human language.
the unsupervisedlearning of natural language structure adissertation submitted to the department of computer science and the committee on graduate studies
We perform an evolutionary search with a hardware latency constraint to find a Sub- Transformer model for target hardware. On the hardware side, since general-purpose platforms are inefficient when performing the attention layers, we further design an accelerator named SpAtten for efficient attention inference.
Abstract This master thesis analyses economic text documents of public companies and aimstosetupatransformer-basedNLPmodel,whichisabletoautomaticallyclas-
contents vii iv convolutional neural based inference learning 9 the copenhagen team participation in the factuality task of the competition of automatic identification and verification of claims in political debates of the clef-2018 fact checking lab 56 10 structural block driven enhanced convolutional neural rep- resentation for relation extraction 68 v self-attention based inference learning
Proceedings of NAACL-HLT 2021: Student Research Workshop , pages 24 31 June 6 11, 2021. ©2021 Association for Computational Linguistics 24 Representations of Meaning in Neural Networks for NLP:
This thesis focused on two tasks of applying natural language processing (NLP) and machine learning to electronic health records (EHRs) to improve clinical decision making.
Abstract This thesis presents a complete end-to-end system for the Semantic Web search using a Natural Language. The system is placed into the context of
Natural language processing (NLP) has recently gained much attention for representing and analysing human language computationally. It has spread its applications in various fields such as machine ...
1.1Persona inference (Chapter 2) The first axis covers an ontological question of inference: can computational models uncover patterns of identity and behavior in personas that are similar to those that human readers construct?
Overview NLP is a large and multidisciplinary eld, so this course can only provide a very general introduction. The rst lecture is designed to give an overview of the main subareas and a very brief idea of the main applications and
Journal of Machine Learning Research 1 (2000) 1-48 Submitted 4/00; Published 10/00 Natural Language Processing (almost) from Scratch Ronan Collobert [email protected] NEC Labs America, Princeton NJ.
Browse 695 tasks • 2124 datasets • 2121 . Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets.
The aim of the project is to develop a solution to enable voice python coding using natural language models. The hugging face dataset contains necessary data sets for image classification, voice ...
PredictingPriceResidualsinOnlineCar MarketplaceswithNaturalLanguage Processing Master's Thesis of Maximilian Blanck Matriculation Number: 1654271
−1. Joan Bresnan. 1972.Theory of complementation in English syntax. Ph.D. thesis, Massachusetts Institute of Technology, Department of Foreign Literatures and Linguistics. 321 pp.
Leveraging Foundation Models via Knowledge Distillation in Multi-Object Tracking: Distilling DINOv2 Features to FairMOT Niels G. Faber Seyed Sahand Mohammadi Ziabari Fatemeh Karimi Najadasl