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05/19/2023
Contextualized Word Vector-based Methods for Discovering Semantic Differences with No Training nor Word Alignment
In this paper, we propose methods for discovering semantic differences i...
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11/13/2022
FinTech for Social Good: A Research Agenda from NLP Perspective
Making our research results positively impact on society and environment...
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10/16/2022
StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning
Existing automatic story evaluation methods place a premium on story lex...
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09/26/2022
Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding
This paper explores the task of Temporal Video Grounding (TVG) where, gi...
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04/25/2022
Aspect-based Analysis of Advertising Appeals for Search Engine Advertising
Writing an ad text that attracts people and persuades them to click or a...
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12/19/2021
LocFormer: Enabling Transformers to Perform Temporal Moment Localization on Long Untrimmed Videos With a Feature Sampling Approach
We propose LocFormer, a Transformer-based model for video grounding whic...
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10/20/2021
SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation
Generating texts in scientific papers requires not only capturing the co...
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02/05/2021
GraphPlan: Story Generation by Planning with Event Graph
Story generation is a task that aims to automatically produce multiple s...
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02/05/2021
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling
Visual storytelling is a task of generating relevant and interesting sto...
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02/01/2021
Metric-Type Identification for Multi-Level Header Numerical Tables in Scientific Papers
Numerical tables are widely used to present experimental results in scie...
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11/09/2020
Pointing to Subwords for Generating Function Names in Source Code
We tackle the task of automatically generating a function name from sour...
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11/04/2020
Neural text normalization leveraging similarities of strings and sounds
We propose neural models that can normalize text by considering the simi...
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04/06/2020
An analysis of the utility of explicit negative examples to improve the syntactic abilities of neural language models
We explore the utilities of explicit negative examples in training neura...
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07/23/2019
