Search Results for author: Jin Cao

Found 14 papers, 4 papers with code

Attention Fusion: a light yet efficient late fusion mechanism for task adaptation in NLU

no code implementations Findings (NAACL) 2022 Jin Cao, Chandana Satya Prakash, Wael Hamza

However, given the trend of larger pre-trained models, fine-tuning these models for each downstream task is parameter-inefficient and computationally-expensive deeming this approach sub-optimal for adoption by NLU systems.

Language Modelling

DAME: Domain Adaptation for Matching Entities

1 code implementation20 Apr 2022 Mohamed Trabelsi, Jeff Heflin, Jin Cao

We study the zero-shot learning case on the target domain, and demonstrate that our method learns the EM task and transfers knowledge to the target domain.

Domain Adaptation Zero-Shot Learning

Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNN

1 code implementation22 Jun 2021 Haowei Jiang, Feiwei Qin, Jin Cao, Yong Peng, Yanli Shao

The recurrent network architecture is a widely used model in sequence modeling, but its serial dependency hinders the computation parallelization, which makes the operation inefficient.

Towards Semi-Supervised Semantics Understanding from Speech

no code implementations11 Nov 2020 Cheng-I Lai, Jin Cao, Sravan Bodapati, Shang-Wen Li

Much recent work on Spoken Language Understanding (SLU) falls short in at least one of three ways: models were trained on oracle text input and neglected the Automatics Speech Recognition (ASR) outputs, models were trained to predict only intents without the slot values, or models were trained on a large amount of in-house data.

speech-recognition Speech Recognition +1

Semantic Labeling Using a Deep Contextualized Language Model

1 code implementation30 Oct 2020 Mohamed Trabelsi, Jin Cao, Jeff Heflin

Generating schema labels automatically for column values of data tables has many data science applications such as schema matching, and data discovery and linking.

Language Modelling

Style Attuned Pre-training and Parameter Efficient Fine-tuning for Spoken Language Understanding

no code implementations9 Oct 2020 Jin Cao, Jun Wang, Wael Hamza, Kelly Vanee, Shang-Wen Li

The light encoder architecture separates the shared pre-trained networks from the mappings of generally encoded knowledge to specific domains of SLU, allowing for the domain adaptation to be performed solely at the light encoder and thus increasing efficiency.

Domain Adaptation Language Modelling +1

A Lightweight Algorithm to Uncover Deep Relationships in Data Tables

no code implementations7 Sep 2020 Jin Cao, Yibo Zhao, Linjun Zhang, Jason Li

The key to our approach is a computationally lightweight forward addition algorithm that we developed to recursively extract the functional dependencies between table columns that are scalable to tables with many columns.

A Fast Randomized Algorithm for Finding the Maximal Common Subsequences

no code implementations7 Sep 2020 Jin Cao, Dewei Zhong

A well-known result states that finding a Longest Common Subsequence (LCS) for $L$ strings is NP-hard, e. g., the computational complexity is exponential in $L$.

Information Retrieval Retrieval

Gauss-Manin connection in disguise: Genus two curves

no code implementations16 Oct 2019 Jin Cao, Hossein Movasati, Shing-Tung Yau

We describe an algebra of meromorphic functions on the Siegel domain of genus two which contains Siegel modular forms for an arithmetic index six subgroup of the symplectic group and it is closed under three canonical derivations of the Siegel domain.

Algebraic Geometry Mathematical Physics Complex Variables Mathematical Physics

Augmented Data Science: Towards Industrialization and Democratization of Data Science

no code implementations12 Sep 2019 Huseyin Uzunalioglu, Jin Cao, Chitra Phadke, Gerald Lehmann, Ahmet Akyamac, Ran He, Jeongran Lee, Maria Able

Conversion of raw data into insights and knowledge requires substantial amounts of effort from data scientists.

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