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Certification of Natural Language Processing from National Research University Higher School of Economics, Moscow, Russia

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.ipynb_checkpoints
.ipynb_checkpoints
 
 
research_papers_referred
research_papers_referred
 
 
README.md
README.md
 
 
steps-for-AWS.md
steps-for-AWS.md
 
 
steps-for-Docker.md
steps-for-Docker.md
 
 
week5_14_intent-classifier.PNG
week5_14_intent-classifier.PNG
 
 
week5_15_slot-tagger.PNG
week5_15_slot-tagger.PNG
 
 
week5_16_CNNs-for-sequences-Gated-Linear-Unit.PNG
week5_16_CNNs-for-sequences-Gated-Linear-Unit.PNG
 
 
week5_17_CNNs-for-sequence--results.PNG
week5_17_CNNs-for-sequence--results.PNG
 
 
week5_18_CNNs-for-sequences--speed-benefit.PNG
week5_18_CNNs-for-sequences--speed-benefit.PNG
 
 
week5_19_CNNs-for-sequences--how-encoder-looks-like.PNG
week5_19_CNNs-for-sequences--how-encoder-looks-like.PNG
 
 
week5_1_task-oriented-dialog-systems.PNG
week5_1_task-oriented-dialog-systems.PNG
 
 
week5_20_ATIS-dataset.PNG
week5_20_ATIS-dataset.PNG
 
 
week5_21_Joint-training-of-intent-classifier-and-slot-tagger.PNG
week5_21_Joint-training-of-intent-classifier-and-slot-tagger.PNG
 
 
week5_22_Joint-training-of-intent-classifier-and-slot-tagger---architecture.PNG
week5_22_Joint-training-of-intent-classifier-and-slot-tagger---architecture.PNG
 
 
week5_23_attention-in-decoder.PNG
week5_23_attention-in-decoder.PNG
 
 
week5_24_joint-training-loss.PNG
week5_24_joint-training-loss.PNG
 
 
week5_25_joint-training-results.PNG
week5_25_joint-training-results.PNG
 
 
week5_26_summary.PNG
week5_26_summary.PNG
 
 
week5_27_we-need-context-to-handle-multi-turn-dialogs.PNG
week5_27_we-need-context-to-handle-multi-turn-dialogs.PNG
 
 
week5_28_storing-previous-utterances-in-memory.PNG
week5_28_storing-previous-utterances-in-memory.PNG
 
 
week5_29_what-knowledge-is-relevant-to-new-utterance.PNG
week5_29_what-knowledge-is-relevant-to-new-utterance.PNG
 
 
week5_2_utterance.PNG
week5_2_utterance.PNG
 
 
week5_30_tagging-current-utterance-with-knowledge.PNG
week5_30_tagging-current-utterance-with-knowledge.PNG
 
 
week5_31_how to track context with memory NW ---overview of architecture.PNG
week5_31_how to track context with memory NW ---overview of architecture.PNG
 
 
week5_32_how to track context with memory NW ---evaluation.PNG
week5_32_how to track context with memory NW ---evaluation.PNG
 
 
week5_33_summary.PNG
week5_33_summary.PNG
 
 
week5_34_why do we want to utilize lexicon.PNG
week5_34_why do we want to utilize lexicon.PNG
 
 
week5_35_let us add lexicon feature to input words.PNG
week5_35_let us add lexicon feature to input words.PNG
 
 
week5_36_BIOES-coding.PNG
week5_36_BIOES-coding.PNG
 
 
week5_37_adding-these-features-to-our-models.PNG
week5_37_adding-these-features-to-our-models.PNG
 
 
week5_38_does-lexicon-help.PNG
week5_38_does-lexicon-help.PNG
 
 
week5_39_training-details.PNG
week5_39_training-details.PNG
 
 
week5_3_intent-classification.PNG
week5_3_intent-classification.PNG
 
 
week5_40_summary.PNG
week5_40_summary.PNG
 
 
week5_41_tasks-of-Dialog-manager.PNG
week5_41_tasks-of-Dialog-manager.PNG
 
 
week5_42_state tracking and policy learning.PNG
week5_42_state tracking and policy learning.PNG
 
 
week5_43_DSTC-2-dataset.PNG
week5_43_DSTC-2-dataset.PNG
 
 
week5_44_DSTC-2-dataset.PNG
week5_44_DSTC-2-dataset.PNG
 
 
week5_45_DSTC-2-dialog-excerpt.PNG
week5_45_DSTC-2-dialog-excerpt.PNG
 
 
week5_46_DSTC-2-results.PNG
week5_46_DSTC-2-results.PNG
 
 
week5_47_rule-based-state-tracking.PNG
week5_47_rule-based-state-tracking.PNG
 
 
week5_48_neural-belief-tracker.PNG
week5_48_neural-belief-tracker.PNG
 
 
week5_49_utterance-representation.PNG
week5_49_utterance-representation.PNG
 
 
week5_4_form-filling-approach-for-dialog-management.PNG
week5_4_form-filling-approach-for-dialog-management.PNG
 
 
week5_50_Neural-belief-tracker-results.PNG
week5_50_Neural-belief-tracker-results.PNG
 
 
week5_51_Frames-dataset.PNG
week5_51_Frames-dataset.PNG
 
 
week5_52_Frames-dataset----frame-tracking.PNG
week5_52_Frames-dataset----frame-tracking.PNG
 
 
week5_53_Frames-dataset---annotations.PNG
week5_53_Frames-dataset---annotations.PNG
 
 
week5_54_summary.PNG
week5_54_summary.PNG
 
 
week5_55_Dialog-policy.PNG
week5_55_Dialog-policy.PNG
 
 
week5_56_simple-approach---hand-crafted-rules.PNG
week5_56_simple-approach---hand-crafted-rules.PNG
 
 
week5_57_optimizing-dialog-policies-with-ML.PNG
week5_57_optimizing-dialog-policies-with-ML.PNG
 
 
week5_58_joint-NLU-and-DM.PNG
week5_58_joint-NLU-and-DM.PNG
 
 
week5_59_joint-NLU-and-DM_results.PNG
week5_59_joint-NLU-and-DM_results.PNG
 
 
week5_5_slot-filling-or-tagging.PNG
week5_5_slot-filling-or-tagging.PNG
 
 
week5_60_summary.PNG
week5_60_summary.PNG
 
 
week5_61_NLU-and-DM.PNG
week5_61_NLU-and-DM.PNG
 
 
week5_62_Evaluating-NLU-and-Dialog-Manager.PNG
week5_62_Evaluating-NLU-and-Dialog-Manager.PNG
 
 
week5_63_quiz-task-oriented dialog systems.docx
week5_63_quiz-task-oriented dialog systems.docx
 
 
week5_64_Instructions for Telegram bot hosted on AWS .docx
week5_64_Instructions for Telegram bot hosted on AWS .docx
 
 
week5_65_papers mentioned in week 5.docx
week5_65_papers mentioned in week 5.docx
 
 
week5_66_Keep up-to-date with NLP research.docx
week5_66_Keep up-to-date with NLP research.docx
 
 
week5_68_Review1_final_project.ipynb
week5_68_Review1_final_project.ipynb
 
 
week5_69_Review1_dialogue_manager_final_project.py
week5_69_Review1_dialogue_manager_final_project.py
 
 
week5_6_training-sequence-tagger-in-BIO-scheme.PNG
week5_6_training-sequence-tagger-in-BIO-scheme.PNG
 
 
week5_70_Review1_utils_final_project.py
week5_70_Review1_utils_final_project.py
 
 
week5_71_Review2_final_project.ipynb
week5_71_Review2_final_project.ipynb
 
 
week5_72_Review2_dialogue_manager_final_project.py
week5_72_Review2_dialogue_manager_final_project.py
 
 
week5_73_Review2_utils_final_project.py
week5_73_Review2_utils_final_project.py
 
 
week5_74_Review3_week5_project.ipynb
week5_74_Review3_week5_project.ipynb
 
 
week5_75_Review3_dialogue_manager_final_project.py
week5_75_Review3_dialogue_manager_final_project.py
 
 
week5_76_Review3_utils_final_project.py
week5_76_Review3_utils_final_project.py
 
 
week5_77_Review4_project_faheel.ipynb
week5_77_Review4_project_faheel.ipynb
 
 
week5_78_Review4_dialogue_manager.py
week5_78_Review4_dialogue_manager.py
 
 
week5_79_Review4_utils.py
week5_79_Review4_utils.py
 
 
week5_7_slot-filling-or-tagging.PNG
week5_7_slot-filling-or-tagging.PNG
 
 
week5_80_Review5_so_bot-final.ipynb
week5_80_Review5_so_bot-final.ipynb
 
 
week5_81_Review5_dialogue_manager.py
week5_81_Review5_dialogue_manager.py
 
 
week5_82_Review5_utils.py
week5_82_Review5_utils.py
 
 
week5_8_form-filling-dialog-manager--single-turn.PNG
week5_8_form-filling-dialog-manager--single-turn.PNG
 
 
week5_9_form-filling-dialog-manager--multi-turn.PNG
week5_9_form-filling-dialog-manager--multi-turn.PNG
 
 

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Certification of Natural Language Processing from National Research University Higher School of Economics, Moscow, Russia

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