Faithful low-resource data-to-text generation through cycle training

Z Wang, M Collins, N Vedula, S Filice… - arXiv preprint arXiv …, 2023 - arxiv.org
Methods to generate text from structured data have advanced significantly in recent years,
primarily due to fine-tuning of pre-trained language models on large datasets. However …

Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda

J Schneider - arXiv preprint arXiv:2404.09554, 2024 - arxiv.org
Generative AI (GenAI) marked a shift from AI being able to recognize to AI being able to
generate solutions for a wide variety of tasks. As the generated solutions and applications …

Disentangling user conversations with voice assistants for online shopping

N Vedula, M Collins, O Rokhlenko - … of the 46th International ACM SIGIR …, 2023 - dl.acm.org
Conversation disentanglement aims to identify and group utterances from a conversation
into separate threads. Existing methods primarily focus on disentangling multi-party …

Comparative relation mining of customer reviews based on a hybrid CSR method

S Gao, H Wang, Y Zhu, J Liu, O Tang - Connection Science, 2023 - Taylor & Francis
Online reviews contain comparative opinions that reveal the competitive relationships of
related products, help identify the competitiveness of products in the marketplace, and …

Fact checking machine generated text with dependency trees

A Estes, N Vedula, M Collins, M Cecil… - Proceedings of the …, 2022 - aclanthology.org
Factual and logical errors made by Natural Language Generation (NLG) systems limit their
applicability in many settings. We study this problem in a conversational search and …

[PDF][PDF] Selecting Comparative Sets of Reviews Across Multiple Items

TH Le, HW Lauw - EDBT, 2025 - openproceedings.org
While choosing among several products, users may look up reviews from each product they
are considering. Due to the large number of reviews of products, selecting representative …

Towards Translating Objective Product Attributes Into Customer Language

R Yazdi, O Kalinsky, A Libov… - Proceedings of the 2024 …, 2024 - aclanthology.org
When customers search online for a product they are not familiar with, their needs are often
expressed through subjective product attributes, such as” picture quality” for a TV or” easy to …

[HTML][HTML] Towards translating objective product attributes into customer

R Yazdi, O Kalinsky, A Libov, D Shahaf - 2024 - amazon.science
When customers search online for a product they are not familiar with, their needs are often
expressed through subjective product attributes, such as “picture quality” for a TV or “easy to …