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Found 12 papers, 4 papers with code
Synthesizing Human Gaze Feedback for Improved NLP Performance
Feedback can be either explicit (e. g. ranking used in training language models) or implicit (e. g. using human cognitive signals in the form of eyetracking).
Persuasion Strategies in Advertisements
Motivated by persuasion literature in social psychology and marketing, we introduce an extensive vocabulary of persuasion strategies and build the first ad image corpus annotated with persuasion strategies.
Span Classification with Structured Information for Disfluency Detection in Spoken Utterances
Existing approaches in disfluency detection focus on solving a token-level classification task for identifying and removing disfluencies in text.
LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents
Identifying keyphrases (KPs) from text documents is a fundamental task in natural language processing and information retrieval.
Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency
English proficiency assessments have become a necessary metric for filtering and selecting prospective candidates for both academia and industry.
Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees
Automated Scoring (AS), the natural language processing task of scoring essays and speeches in an educational testing setting, is growing in popularity and being deployed across contexts from government examinations to companies providing language proficiency services.
Perception Point: Identifying Critical Learning Periods in Speech for Bilingual Networks
Recent studies in speech perception have been closely linked to fields of cognitive psychology, phonology, and phonetics in linguistics.
AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses
This is in stark contrast to recent probing studies on pre-trained representation learning models, which show that rich linguistic features such as parts-of-speech and morphology are encoded by them.
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring
In our technique, we take advantage of the fact that oral proficiency tests rate multiple responses for a candidate.
What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure
In recent times, BERT based transformer models have become an inseparable part of the 'tech stack' of text processing models.
Towards Modelling Coherence in Spoken Discourse
While there has been significant progress towards modelling coherence in written discourse, the work in modelling spoken discourse coherence has been quite limited.
My Teacher Thinks The World Is Flat! Interpreting Automatic Essay Scoring Mechanism
However, little research has been put to understand and interpret the black-box nature of these deep-learning based scoring models.
