Search Results for author: Elham J. Barezi

Found 14 papers, 5 papers with code

Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQA

no code implementations27 Jun 2024 Elham J. Barezi, Parisa Kordjamshidi

We study the Knowledge-Based visual question-answering problem, for which given a question, the models need to ground it into the visual modality to find the answer.

General Knowledge Question Answering +2

Find The Gap: Knowledge Base Reasoning For Visual Question Answering

no code implementations16 Apr 2024 Elham J. Barezi, Parisa Kordjamshidi

2) How do task-specific and LLM-based models perform in the integration of visual and external knowledge, and multi-hop reasoning over both sources of information?

Question Answering Retrieval +1

Towards Answering Open-ended Ethical Quandary Questions

no code implementations12 May 2022 Yejin Bang, Nayeon Lee, Tiezheng Yu, Leila Khalatbari, Yan Xu, Samuel Cahyawijaya, Dan Su, Bryan Wilie, Romain Barraud, Elham J. Barezi, Andrea Madotto, Hayden Kee, Pascale Fung

We explore the current capability of LLMs in providing an answer with a deliberative exchange of different perspectives to an ethical quandary, in the approach of Socratic philosophy, instead of providing a closed answer like an oracle.

Few-Shot Learning Generative Question Answering +2

Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset

1 code implementation LREC 2022 Tiezheng Yu, Rita Frieske, Peng Xu, Samuel Cahyawijaya, Cheuk Tung Shadow Yiu, Holy Lovenia, Wenliang Dai, Elham J. Barezi, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi, Pascale Fung

We further conduct experiments with Fairseq S2T Transformer, a state-of-the-art ASR model, on the biggest existing dataset, Common Voice zh-HK, and our proposed MDCC, and the results show the effectiveness of our dataset.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation

2 code implementations LREC 2022 Holy Lovenia, Samuel Cahyawijaya, Genta Indra Winata, Peng Xu, Xu Yan, Zihan Liu, Rita Frieske, Tiezheng Yu, Wenliang Dai, Elham J. Barezi, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi, Pascale Fung

ASCEND (A Spontaneous Chinese-English Dataset) is a high-quality Mandarin Chinese-English code-switching corpus built on spontaneous multi-turn conversational dialogue sources collected in Hong Kong.

A Study on the Autoregressive and non-Autoregressive Multi-label Learning

no code implementations3 Dec 2020 Elham J. Barezi, Iacer Calixto, Kyunghyun Cho, Pascale Fung

These tasks are hard because the label space is usually (i) very large, e. g. thousands or millions of labels, (ii) very sparse, i. e. very few labels apply to each input document, and (iii) highly correlated, meaning that the existence of one label changes the likelihood of predicting all other labels.

Multi-Label Learning

CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management

1 code implementation EMNLP (NLP-COVID19) 2020 Dan Su, Yan Xu, Tiezheng Yu, Farhad Bin Siddique, Elham J. Barezi, Pascale Fung

We present CAiRE-COVID, a real-time question answering (QA) and multi-document summarization system, which won one of the 10 tasks in the Kaggle COVID-19 Open Research Dataset Challenge, judged by medical experts.

Document Summarization Information Retrieval +3

On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression

no code implementations27 Aug 2019 Genta Indra Winata, Andrea Madotto, Jamin Shin, Elham J. Barezi, Pascale Fung

Despite their ubiquity in NLP tasks, Long Short-Term Memory (LSTM) networks suffer from computational inefficiencies caused by inherent unparallelizable recurrences, which further aggravates as LSTMs require more parameters for larger memory capacity.

Model Compression

A Submodular Feature-Aware Framework for Label Subset Selection in Extreme Classification Problems

no code implementations NAACL 2019 Elham J. Barezi, Ian D. Wood, Pascale Fung, Hamid R. Rabiee

We can then solve efficiently the problem of multi-label learning with an intractably large number of interdependent labels, such as automatic tagging of Wikipedia pages.

General Classification Multi-Label Learning

Modality-based Factorization for Multimodal Fusion

no code implementations WS 2019 Elham J. Barezi, Peyman Momeni, Pascale Fung

We propose a novel method, Modality-based Redundancy Reduction Fusion (MRRF), for understanding and modulating the relative contribution of each modality in multimodal inference tasks.

Emotion Recognition Personality Trait Recognition +1

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