activity
20202026
most citedIdiomatic Expression Identification using Semantic Compatibility

8 citations · 13 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DB2026

Mandol: An Agglomerative Agent Memory System for Long-Term Conversations

Yuhan Zhang, Zhiyuan Guo, Ziheng Zeng +3

Long-term conversational agents need to remember and query cross-session, multi-typed information with complex correlations. Existing agent memory systems rely on heterogeneous vec…

cs.CL2023★ 2 cited

IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions

Ziheng Zeng, Kellen Tan Cheng, Srihari Venkat Nanniyur +2

Idiomatic expression (IE) processing and comprehension have challenged pre-trained language models (PTLMs) because their meanings are non-compositional. Unlike prior works that ena…

cs.CL2023

Unified Representation for Non-compositional and Compositional Expressions

Ziheng Zeng, Suma Bhat

Accurate processing of non-compositional language relies on generating good representations for such expressions. In this work, we study the representation of language non-composit…

cs.CL2022★ 1 cited

Getting BART to Ride the Idiomatic Train: Learning to Represent Idiomatic Expressions

Ziheng Zeng, Suma Bhat

Idiomatic expressions (IEs), characterized by their non-compositionality, are an important part of natural language. They have been a classical challenge to NLP, including pre-trai…

cs.CL2021

Idiomatic Expression Paraphrasing without Strong Supervision

Jianing Zhou, Ziheng Zeng, Hongyu Gong +1

Idiomatic expressions (IEs) play an essential role in natural language. In this paper, we study the task of idiomatic sentence paraphrasing (ISP), which aims to paraphrase a senten…

cs.CL2021★ 8 cited

Idiomatic Expression Identification using Semantic Compatibility

Ziheng Zeng, Suma Bhat

Idiomatic expressions are an integral part of natural language and constantly being added to a language. Owing to their non-compositionality and their ability to take on a figurati…

cs.CL2020★ 2 cited

Recurrent Inference in Text Editing

Ning Shi, Ziheng Zeng, Haotian Zhang +1

In neural text editing, prevalent sequence-to-sequence based approaches directly map the unedited text either to the edited text or the editing operations, in which the performance…