Search Results for author: Ayesha Enayet

Found 4 papers, 2 papers with code

An Analysis of Dialogue Act Sequence Similarity Across Multiple Domains

no code implementations LREC 2022 Ayesha Enayet, Gita Sukthankar

This paper presents an analysis of how dialogue act sequences vary across different datasets in order to anticipate the potential degradation in the performance of learned models during domain adaptation.

Domain Adaptation

Improving the Generalizability of Collaborative Dialogue Analysis with Multi-Feature Embeddings

1 code implementation9 Feb 2023 Ayesha Enayet, Gita Sukthankar

To alleviate this problem, this paper introduces a multi-feature embedding (MFeEmb) that improves the generalizability of conflict prediction models trained on dialogue sequences.

Domain Adaptation

Analyzing Team Performance with Embeddings from Multiparty Dialogues

no code implementations23 Jan 2021 Ayesha Enayet, Gita Sukthankar

Good communication is indubitably the foundation of effective teamwork.

A Transfer Learning Approach for Dialogue Act Classification of GitHub Issue Comments

2 code implementations10 Nov 2020 Ayesha Enayet, Gita Sukthankar

Social coding platforms, such as GitHub, serve as laboratories for studying collaborative problem solving in open source software development; a key feature is their ability to support issue reporting which is used by teams to discuss tasks and ideas.

Dialogue Act Classification General Classification +2

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