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Towards the Early Detection of Child Predators in Chat Rooms: A BERT-based Approach ...
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To what extent do human explanations of model behavior align with actual model behavior? ...
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Elementary-Level Math Word Problem Generation using Pre-Trained Transformers ...
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What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations ...
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Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision ...
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Coral: An Approach for Conversational Agents in Mental Health Applications ...
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#WhyDidTheyStay: An NLP-driven approach to analyzing the factors that affect domestic violence victims ...
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SciBERT-based Multitasking Deep Neural Architecture to identify Contribution Statements from Scientific articles ...
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"I don't know who she is": Discourse and Knowledge Driven Coreference Resolution ...
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Abstract:
Coreference resolution is the task of identifying mentions that refer to the same entity in a given text. In a discourse, a key part of the interpretation process for advanced spoken dialog requires a coreference module to be present in applications. Our goal is to design a dataset that captures coreference in our system and create a model to improve the discourse in Athena, a chit-chat bot that was a finalist in the the Alexa Prize 2021 Social Bot competition. We then compare its performance on a set of pronominal types: it, they, that, she, he, her, him, his, and hers, and how it performs across the topics of Movies, Sports, Television, and Music. Our findings show that our fine-tuned outperforms an out-of-the-box AllenAI model that uses SpanBERT embeddings. ...
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Keyword:
Computational Linguistics; Conversational Agent; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Neural Network
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URL: https://underline.io/lecture/39669-'i-don't-know-who-she-is'-discourse-and-knowledge-driven-coreference-resolution https://dx.doi.org/10.48448/3n2x-r119
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Certified Robustness to Programmable Transformations in LSTMs ...
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Sinhala-English Code-mixed and Code-switched Data Classification ...
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Adverse Drug Reaction Classification of Tweets with Fusion of Text and Drug Representations ...
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Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport ...
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VisualSem: a high-quality knowledge graph for vision and language ...
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Specializing Multilingual Language Models: An Empirical Study ...
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On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning ...
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One-Shot Lexicon Learning for Low-Resource Machine Translation ...
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