activity
20212023
most citedAttention-based Ingredient Phrase Parser

3 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2023

Rethink the Effectiveness of Text Data Augmentation: An Empirical Analysis

Zhengxiang Shi, Aldo Lipani

In recent years, language models (LMs) have made remarkable progress in advancing the field of natural language processing (NLP). However, the impact of data augmentation (DA) tech…

cs.CL20223 cited

Attention-based Ingredient Phrase Parser

Zhengxiang Shi, Pin Ni, Meihui Wang +2

As virtual personal assistants have now penetrated the consumer market, with products such as Siri and Alexa, the research community has produced several works on task-oriented dia…

cs.CL20222 cited

Learning to Execute Actions or Ask Clarification Questions

Zhengxiang Shi, Yue Feng, Aldo Lipani

Collaborative tasks are ubiquitous activities where a form of communication is required in order to reach a joint goal. Collaborative building is one of such tasks. We wish to deve…

cs.CL20221 cited

StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts

Zhengxiang Shi, Qiang Zhang, Aldo Lipani

Inferring spatial relations in natural language is a crucial ability an intelligent system should possess. The bAbI dataset tries to capture tasks relevant to this domain (task 17…

cs.CL20221 cited

Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking

Yue Feng, Aldo Lipani, Fanghua Ye +2

Dialogue State Tracking (DST) aims to keep track of users' intentions during the course of a conversation. In DST, modelling the relations among domains and slots is still an under…

cs.IR20211 cited

Towards More Accountable Search Engines: Online Evaluation of Representation Bias

Aldo Lipani, Florina Piroi, Emine Yilmaz

Information availability affects people's behavior and perception of the world. Notably, people rely on search engines to satisfy their need for information. Search engines deliver…