Search Results for author: Alex Marin

Found 7 papers, 1 papers with code

Extracting and Inferring Personal Attributes from Dialogue

1 code implementation NLP4ConvAI (ACL) 2022 Zhilin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia

Personal attributes represent structured information about a person, such as their hobbies, pets, family, likes and dislikes.

Language Modelling

Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling

no code implementations EACL 2021 Ernie Chang, Vera Demberg, Alex Marin

Neural natural language generation (NLG) and understanding (NLU) models are data-hungry and require massive amounts of annotated data to be competitive.

Text Generation

DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool

no code implementations COLING 2020 Ernie Chang, Jeriah Caplinger, Alex Marin, Xiaoyu Shen, Vera Demberg

We present a lightweight annotation tool, the Data AnnotatoR Tool (DART), for the general task of labeling structured data with textual descriptions.

Active Learning

Bag of Experts Architectures for Model Reuse in Conversational Language Understanding

no code implementations NAACL 2018 Rahul Jha, Alex Marin, Suvamsh Shivaprasad, Imed Zitouni

Slot tagging, the task of detecting entities in input user utterances, is a key component of natural language understanding systems for personal digital assistants.

Domain Adaptation Natural Language Understanding

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