activity
20162024
most citedNormalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion

42 citations · 62 across the 18 of their papers we have counts for

collaborators

18 papers

cs.CL20241 cited

Let's Negotiate! A Survey of Negotiation Dialogue Systems

Haolan Zhan, Yufei Wang, Tao Feng +7

Negotiation is a crucial ability in human communication. Recently, there has been a resurgent research interest in negotiation dialogue systems, whose goal is to create intelligent…

cs.CL20232 cited

T3L: Translate-and-Test Transfer Learning for Cross-Lingual Text Classification

Inigo Jauregi Unanue, Gholamreza Haffari, Massimo Piccardi

Cross-lingual text classification leverages text classifiers trained in a high-resource language to perform text classification in other languages with no or minimal fine-tuning (z…

cs.CL2023

FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing

Zhuang Li, Yuyang Chai, Terry Yue Zhuo +5

Textual scene graph parsing has become increasingly important in various vision-language applications, including image caption evaluation and image retrieval. However, existing sce…

cs.CL2023

Investigating Pre-trained Audio Encoders in the Low-Resource Condition

Hao Yang, Jinming Zhao, Gholamreza Haffari +1

Pre-trained speech encoders have been central to pushing state-of-the-art results across various speech understanding and generation tasks. Nonetheless, the capabilities of these e…

cs.CL2023

NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery

Farhad Moghimifar, Shilin Qu, Tongtong Wu +2

Norms, which are culturally accepted guidelines for behaviours, can be integrated into conversational models to generate utterances that are appropriate for the socio-cultural cont…

cs.CL2023

The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning

Zhuang Li, Lizhen Qu, Philip R. Cohen +2

Multilingual semantic parsing aims to leverage the knowledge from the high-resource languages to improve low-resource semantic parsing, yet commonly suffers from the data imbalance…