Search Results for author: Jianing Zhou

Found 6 papers, 1 papers with code

Paraphrase Generation: A Survey of the State of the Art

no code implementations EMNLP 2021 Jianing Zhou, Suma Bhat

This paper focuses on paraphrase generation, which is a widely studied natural language generation task in NLP.

Paraphrase Generation

PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing

no code implementations ACL (MWE) 2021 Jianing Zhou, Hongyu Gong, Suma Bhat

Idiomatic expressions (IE) play an important role in natural language, and have long been a “pain in the neck” for NLP systems.

Sentence Text Generation

IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions

1 code implementation11 Dec 2023 Ziheng Zeng, Kellen Tan Cheng, Srihari Venkat Nanniyur, Jianing Zhou, Suma Bhat

Unlike prior works that enable IE comprehension through fine-tuning PTLMs with sentences containing IEs, in this work, we construct IEKG, a commonsense knowledge graph for figurative interpretations of IEs.

Natural Language Understanding

Idiomatic Expression Paraphrasing without Strong Supervision

no code implementations16 Dec 2021 Jianing Zhou, Ziheng Zeng, Hongyu Gong, Suma Bhat

In this paper, we study the task of idiomatic sentence paraphrasing (ISP), which aims to paraphrase a sentence with an IE by replacing the IE with its literal paraphrase.

Machine Translation Sentence +1

From Solving a Problem Boldly to Cutting the Gordian Knot: Idiomatic Text Generation

no code implementations13 Apr 2021 Jianing Zhou, Hongyu Gong, Srihari Nanniyur, Suma Bhat

We study a new application for text generation -- idiomatic sentence generation -- which aims to transfer literal phrases in sentences into their idiomatic counterparts.

Sentence Text Generation

Multiple Character Embeddings for Chinese Word Segmentation

no code implementations ACL 2019 Jingkang Wang, Jianing Zhou, Jie zhou, Gongshen Liu

Chinese word segmentation (CWS) is often regarded as a character-based sequence labeling task in most current works which have achieved great success with the help of powerful neural networks.

Chinese Word Segmentation

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