Search Results for author: Sam Davidson

Found 12 papers, 3 papers with code

Developing a New Classifier for Automated Identification of Incivility in Social Media

no code implementations EMNLP (ALW) 2020 Sam Davidson, Qiusi Sun, Magdalena Wojcieszak

The classifier is trained on a dataset of Reddit posts, which are annotated for incivility, and further expanded using a combination of labeled data from Reddit and Twitter.

ErAConD: Error Annotated Conversational Dialog Dataset for Grammatical Error Correction

1 code implementation NAACL 2022 Xun Yuan, Derek Pham, Sam Davidson, Zhou Yu

Currently available grammatical error correction (GEC) datasets are compiled using essays or other long-form text written by language learners, limiting the applicability of these datasets to other domains such as informal writing and conversational dialog.

Chatbot Grammatical Error Correction

User Simulation with Large Language Models for Evaluating Task-Oriented Dialogue

no code implementations23 Sep 2023 Sam Davidson, Salvatore Romeo, Raphael Shu, James Gung, Arshit Gupta, Saab Mansour, Yi Zhang

One of the major impediments to the development of new task-oriented dialogue (TOD) systems is the need for human evaluation at multiple stages and iterations of the development process.

In-Context Learning User Simulation

IdEALS: Idiomatic Expressions for Advancement of Language Skills

1 code implementation23 May 2023 Narutatsu Ri, Bill Sun, Sam Davidson, Zhou Yu

Although significant progress has been made in developing methods for Grammatical Error Correction (GEC), addressing word choice improvements has been notably lacking and enhancing sentence expressivity by replacing phrases with advanced expressions is an understudied aspect.

Grammatical Error Correction Sentence

Using Chatbots to Teach Languages

no code implementations31 Jul 2022 Yu Li, Chun-Yen Chen, Dian Yu, Sam Davidson, Ryan Hou, Xun Yuan, Yinghua Tan, Derek Pham, Zhou Yu

This paper reports on progress towards building an online language learning tool to provide learners with conversational experience by using dialog systems as conversation practice partners.

reinforcement-learning Reinforcement Learning (RL)

ErAConD : Error Annotated Conversational Dialog Dataset for Grammatical Error Correction

1 code implementation15 Dec 2021 Xun Yuan, Derek Pham, Sam Davidson, Zhou Yu

Currently available grammatical error correction (GEC) datasets are compiled using well-formed written text, limiting the applicability of these datasets to other domains such as informal writing and dialog.

Chatbot Grammatical Error Correction

Tracking the Evolution of Written Language Competence in L2 Spanish Learners

no code implementations WS 2020 Alessio Miaschi, Sam Davidson, Dominique Brunato, Felice Dell{'}Orletta, Kenji Sagae, Claudia Helena Sanchez-Gutierrez, Giulia Venturi

In this paper we present an NLP-based approach for tracking the evolution of written language competence in L2 Spanish learners using a wide range of linguistic features automatically extracted from students{'} written productions.

Dependency Parsing for Spoken Dialog Systems

no code implementations IJCNLP 2019 Sam Davidson, Dian Yu, Zhou Yu

Dependency parsing of conversational input can play an important role in language understanding for dialog systems by identifying the relationships between entities extracted from user utterances.

Dependency Parsing

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