1 code implementation • CL (ACL) 2022 • Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang
In this article, we address this challenge by exploring a series of domain adaptation techniques.
no code implementations • 14 Mar 2024 • Ahmed Masry, Mehrad Shahmohammadi, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty
Further evaluation shows that our instruction-tuning approach supports a wide array of real-world chart comprehension and reasoning scenarios, thereby expanding the scope and applicability of our models to new kinds of tasks.
no code implementations • 17 Dec 2023 • Xuan Long Do, Mohammad Hassanpour, Ahmed Masry, Parsa Kavehzadeh, Enamul Hoque, Shafiq Joty
However, their application to chart-related tasks is not trivial as these tasks typically involve considering not only the underlying data but also the visual features in the chart image.
no code implementations • 22 Sep 2023 • Mohsinul Kabir, Mohammed Saidul Islam, Md Tahmid Rahman Laskar, Mir Tafseer Nayeem, M Saiful Bari, Enamul Hoque
Large Language Models (LLMs) have emerged as one of the most important breakthroughs in NLP for their impressive skills in language generation and other language-specific tasks.
Abstractive Text Summarization Natural Language Inference +6
1 code implementation • 24 May 2023 • Ahmed Masry, Parsa Kavehzadeh, Xuan Long Do, Enamul Hoque, Shafiq Joty
Charts are very popular for analyzing data, visualizing key insights and answering complex reasoning questions about data.
Ranked #17 on Chart Question Answering on ChartQA (using extra training data)
no code implementations • 31 Mar 2023 • Md Tahmid Rahman Laskar, Mizanur Rahman, Israt Jahan, Enamul Hoque, Jimmy Huang
Debatepedia is a publicly available dataset consisting of arguments and counter-arguments on controversial topics that has been widely used for the single-document query-focused abstractive summarization task in recent years.
1 code implementation • 12 Oct 2022 • Shankar Kantharaj, Xuan Long Do, Rixie Tiffany Ko Leong, Jia Qing Tan, Enamul Hoque, Shafiq Joty
In the first setting, a chart and the accompanying article is provided as input to the model.
no code implementations • 8 May 2022 • Enamul Hoque, Parsa Kavehzadeh, Ahmed Masry
Information visualizations such as bar charts and line charts are very common for analyzing data and discovering critical insights.
1 code implementation • Findings (ACL) 2022 • Ahmed Masry, Do Xuan Long, Jia Qing Tan, Shafiq Joty, Enamul Hoque
To address the unique challenges in our benchmark involving visual and logical reasoning over charts, we present two transformer-based models that combine visual features and the data table of the chart in a unified way to answer questions.
Ranked #1 on Chart Question Answering on RealCQA
2 code implementations • ACL 2022 • Shankar Kantharaj, Rixie Tiffany Ko Leong, Xiang Lin, Ahmed Masry, Megh Thakkar, Enamul Hoque, Shafiq Joty
We also introduce a number of state-of-the-art neural models as baselines that utilize image captioning and data-to-text generation techniques to tackle two problem variations: one assumes the underlying data table of the chart is available while the other needs to extract data from chart images.
1 code implementation • 22 Dec 2021 • Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang
In this paper, we address this challenge by exploring a series of domain adaptation techniques.
no code implementations • 30 Aug 2021 • Raymond Li, Enamul Hoque, Giuseppe Carenini, Richard Lester, Raymond Chau
The proliferation of text messaging for mobile health is generating a large amount of patient-doctor conversations that can be extremely valuable to health care professionals.
1 code implementation • 14 Nov 2020 • Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang
We find that fine-tuning the BERT model for the answer selection task is very effective and observe a maximum improvement of 13. 1% in the QA datasets and 18. 7% in the CQA datasets compared to the previous state-of-the-art.
1 code implementation • COLING 2020 • Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang
In the Query Focused Multi-Document Summarization (QF-MDS) task, a set of documents and a query are given where the goal is to generate a summary from these documents based on the given query.
1 code implementation • INLG (ACL) 2020 • Jason Obeid, Enamul Hoque
Information visualizations such as bar charts and line charts are very popular for exploring data and communicating insights.
1 code implementation • LREC 2020 • Md Tahmid Rahman Laskar, Jimmy Xiangji Huang, Enamul Hoque
In this paper, we utilize contextualized word embeddings with the transformer encoder for sentence similarity modeling in the answer selection task.
no code implementations • WS 2017 • Enamul Hoque, Giuseppe Carenini
With the proliferation of Web-based social media, asynchronous conversations have become very common for supporting online communication and collaboration.
no code implementations • COLING 2016 • Enamul Hoque, Shafiq Joty, Llu{\'\i}s M{\`a}rquez, Alberto Barr{\'o}n-Cede{\~n}o, Giovanni Da San Martino, Aless Moschitti, ro, Preslav Nakov, Salvatore Romeo, Giuseppe Carenini
We present an interactive system to provide effective and efficient search capabilities in Community Question Answering (cQA) forums.