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Adv-OLM: Generating Textual Adversaries via OLM
Deep learning models are susceptible to adversarial examples that have i...
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Adapting a Language Model for Controlled Affective Text Generation
Human use language not just to convey information but also to express th...
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AI-based Monitoring and Response System for Hospital Preparedness towards COVID-19 in Southeast Asia
This research paper proposes a COVID-19 monitoring and response system t...
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IITK at the FinSim Task: Hypernym Detection in Financial Domain via Context-Free and Contextualized Word Embeddings
In this paper, we present our approaches for the FinSim 2020 shared task...
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problemConquero at SemEval-2020 Task 12: Transformer and Soft label-based approaches
In this paper, we present various systems submitted by our team problemC...
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IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals
This paper describes our efforts in tackling Task 5 of SemEval-2020. The...
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CS-NET at SemEval-2020 Task 4: Siamese BERT for ComVE
In this paper, we describe our system for Task 4 of SemEval 2020, which ...
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newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations For Propaganda Classification
This paper describes our submissions to SemEval 2020 Task 11: Detection ...
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IITK at SemEval-2020 Task 8: Unimodal and Bimodal Sentiment Analysis of Internet Memes
Social media is abundant in visual and textual information presented tog...
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IITK at SemEval-2020 Task 10: Transformers for Emphasis Selection
This paper describes the system proposed for addressing the research pro...
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Generating Animations from Screenplays
Automatically generating animation from natural language text finds appl...
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Domain Authoring Assistant for Intelligent Virtual Agents
Developing intelligent virtual characters has attracted a lot of attenti...
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Topic Spotting using Hierarchical Networks with Self Attention
Success of deep learning techniques have renewed the interest in develop...
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Affect-Driven Dialog Generation
The majority of current systems for end-to-end dialog generation focus o...
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MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge
We introduce a large dataset of narrative texts and questions about thes...
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A Mixture Model for Learning Multi-Sense Word Embeddings
Word embeddings are now a standard technique for inducing meaning repres...
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InScript: Narrative texts annotated with script information
This paper presents the InScript corpus (Narrative Texts Instantiating S...
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Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction
Recent research in psycholinguistics has provided increasing evidence th...
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Learning Semantic Script Knowledge with Event Embeddings
Induction of common sense knowledge about prototypical sequences of even...
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