1 code implementation • 13 Apr 2023 • Abdelrahman Abdallah, Bhawna Piryani, Adam Jatowt
At this time, there is a lack of surveys that discuss legal question answering.
1 code implementation • 21 Jul 2023 • Abdelrahman Abdallah, Adam Jatowt
Open-domain question answering (QA) tasks usually require the retrieval of relevant information from a large corpus to generate accurate answers.
1 code implementation • 26 Mar 2024 • Abdelrahman Abdallah, Mahmoud Kasem, Mahmoud Abdalla, Mohamed Mahmoud, Mohamed Elkasaby, Yasser Elbendary, Adam Jatowt
In conclusion, ArabicaQA, AraDPR, and the benchmarking of LLMs in Arabic question answering offer significant advancements in the field of Arabic NLP.
1 code implementation • 26 Mar 2024 • Bhawna Piryani, Jamshid Mozafari, Adam Jatowt
Therefore, to enable realistic testing of QA models, our dataset can be used in three different ways: answering questions from raw and noisy content, answering questions from cleaner, corrected version of the content, as well as answering questions from scanned images of newspaper pages.
Machine Reading Comprehension Optical Character Recognition (OCR) +1
1 code implementation • 17 Feb 2020 • Michael Färber, Adam Jatowt
In recent years, several approaches and evaluation data sets have been presented.
1 code implementation • 18 Sep 2023 • Abdelrahman Abdallah, Mahmoud Abdalla, Mohamed Elkasaby, Yasser Elbendary, Adam Jatowt
In this paper, we present AMuRD, a novel multilingual human-annotated dataset specifically designed for information extraction from receipts.
1 code implementation • 20 Aug 2021 • Changzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt, Changlong Sun, Conghui Zhu, Tiejun Zhao
Nevertheless, few works utilized the knowledge extracted from similar conversations for utterance generation.
1 code implementation • 22 Jan 2024 • Jonas Wallat, Adam Jatowt, Avishek Anand
In this study, we aim to investigate the underlying limitations of general-purpose LLMs when deployed for tasks that require a temporal understanding.
1 code implementation • 27 Mar 2024 • Jamshid Mozafari, Anubhav Jangra, Adam Jatowt
To evaluate the TriviaHG dataset and the proposed evaluation method, we enlisted 10 individuals to annotate 2, 791 hints and tasked 6 humans with answering questions using the provided hints.
no code implementations • 15 Nov 2018 • Nina Tahmasebi, Lars Borin, Adam Jatowt
In this article we focus on diachronic conceptual change as an extension of semantic change.
no code implementations • COLING 2018 • Qian Li, Ziwei Li, Jin-Mao Wei, Yanhui Gu, Adam Jatowt, Zhenglu Yang
Enabling a mechanism to understand a temporal story and predict its ending is an interesting issue that has attracted considerable attention, as in case of the ROC Story Cloze Task (SCT).
no code implementations • COLING 2016 • Adam Jatowt, Marc Bron
Recent years have witnessed significant increase in the number of large scale digital collections of archival documents such as news articles, books, etc.
no code implementations • WS 2019 • P{\'e}ter Jeszenszky, Panote Siriaraya, Philipp Stoeckle, Adam Jatowt
With the assumption of the {`}contact effect{'}, i. e. contact possibility (contact and isolation) between speaker communities being responsible for language change, and the apparent time hypothesis, we aim to predict the usage of dialectal variants.
no code implementations • 19 Mar 2020 • Ali Balali, Masoud Asadpour, Ricardo Campos, Adam Jatowt
Also, an attention-based graph convolutional network is proposed, to carry syntactically related information along the shortest paths between argument candidates that captures and aggregates the latent associations between arguments; a problem that has been overlooked by most of the literature.
no code implementations • 14 May 2020 • Sérgio Nunes, Suzanne Little, Sumit Bhatia, Ludovico Boratto, Guillaume Cabanac, Ricardo Campos, Francisco M. Couto, Stefano Faralli, Ingo Frommholz, Adam Jatowt, Alípio Jorge, Mirko Marras, Philipp Mayr, Giovanni Stilo
In this report, we describe the experience of organizing the ECIR 2020 Workshops in this scenario from two perspectives: the workshop organizers and the workshop participants.
no code implementations • 19 May 2020 • Anubhav Jangra, Sriparna Saha, Adam Jatowt, Mohammad Hasanuzzaman
Significant development of communication technology over the past few years has motivated research in multi-modal summarization techniques.
no code implementations • LREC 2020 • Esteban Frossard, Mickael Coustaty, Antoine Doucet, Adam Jatowt, Simon Hengchen
Languages change over time and, thanks to the abundance of digital corpora, their evolutionary analysis using computational techniques has recently gained much research attention.
no code implementations • LREC 2020 • Sora Lim, Adam Jatowt, Michael F{\"a}rber, Masatoshi Yoshikawa
In this paper, we propose a novel news bias dataset which facilitates the development and evaluation of approaches for detecting subtle bias in news articles and for understanding the characteristics of biased sentences.
no code implementations • EMNLP 2021 • Yao Zhang, Hongru Liang, Adam Jatowt, Wenqiang Lei, Xin Wei, Ning Jiang, Zhenglu Yang
To the best of our knowledge, there lacks a general framework that approaches multi-hop reasoning in mixed long-short distance reasoning scenarios.
no code implementations • 22 Dec 2020 • Yao Zhang, Xu Zhang, Jun Wang, Hongru Liang, Wenqiang Lei, Zhe Sun, Adam Jatowt, Zhenglu Yang
The current methods for the link prediction taskhavetwonaturalproblems:1)the relation distributions in KGs are usually unbalanced, and 2) there are many unseen relations that occur in practical situations.
no code implementations • Findings (ACL) 2022 • Yao Zhang, Peiyao Li, Hongru Liang, Adam Jatowt, Zhenglu Yang
In the question answering(QA) task, multi-hop reasoning framework has been extensively studied in recent years to perform more efficient and interpretable answer reasoning on the Knowledge Graph(KG).
no code implementations • 8 Sep 2021 • Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa
In the last few years, open-domain question answering (ODQA) has advanced rapidly due to the development of deep learning techniques and the availability of large-scale QA datasets.
no code implementations • 11 Sep 2021 • Anubhav Jangra, Sourajit Mukherjee, Adam Jatowt, Sriparna Saha, Mohammad Hasanuzzaman
The new era of technology has brought us to the point where it is convenient for people to share their opinions over an abundance of platforms.
no code implementations • ACL 2021 • Yi Yu, Adam Jatowt, Antoine Doucet, Kazunari Sugiyama, Masatoshi Yoshikawa
In this paper, we address a novel task, Multiple TimeLine Summarization (MTLS), which extends the flexibility and versatility of Time-Line Summarization (TLS).
no code implementations • COLING 2020 • Stephen Mutuvi, Emanuela Boros, Antoine Doucet, Adam Jatowt, Ga{\"e}l Lejeune, Moses Odeo
We conduct a comparative study of different machine and deep learning text classification models using a dataset comprising news articles related to epidemic outbreaks from six languages, four low-resourced and two high-resourced, in order to analyze the influence of the nature of the language, the structure of the document, and the size of the data.
no code implementations • 7 Dec 2021 • Naman Paharia, Muhammad Syafiq Mohd Pozi, Adam Jatowt
The amount of scholarly data has been increasing dramatically over the last years.
no code implementations • 19 Apr 2022 • Vaibhav Mavi, Anubhav Jangra, Adam Jatowt
This implies that different datasets and models differ significantly which makes the field challenging to generalize and survey.
no code implementations • 27 Apr 2022 • Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa, Yi Cai
Time is an important aspect of documents and is used in a range of NLP and IR tasks.
no code implementations • JEP/TALN/RECITAL 2022 • Stephen Mutuvi, Emanuela Boros, Antoine Doucet, Adam Jatowt, Gaël Lejeune, Moses Odeo
Dans cet article, nous explorons plusieurs hypothèses concernant les facteurs qui pourraient avoir une influence sur les performances d’un système d’extraction d’événements épidémiologiques dans un scénario multilingue à faibles ressources : le type de modèle pré-entraîné, la qualité du tokenizer ainsi que les caractéristiques des entités à extraire.
no code implementations • LREC 2022 • Yash Verma, Anubhav Jangra, Sriparna Saha, Adam Jatowt, Dwaipayan Roy
Keyword extraction is an integral task for many downstream problems like clustering, recommendation, search and classification.
no code implementations • COLING 2022 • Marco Ferdinand Salchner, Adam Jatowt
Although automatic text summarization (ATS) has been researched for several decades, the application of graph neural networks (GNNs) to this task started relatively recently.
no code implementations • 3 Dec 2022 • Raghav Jain, Anubhav Jangra, Sriparna Saha, Adam Jatowt
The internet has had a dramatic effect on the healthcare industry, allowing documents to be saved, shared, and managed digitally.
no code implementations • 13 Nov 2022 • Tanja Aue, Adam Jatowt, Michael Färber
Environmental, social and governance (ESG) engagement of companies moved into the focus of public attention over recent years.
no code implementations • LaTeCHCLfL (COLING) 2022 • Nicolas Gutehrlé, Antoine Doucet, Adam Jatowt
Archive collections are nowadays mostly available through search engines interfaces, which allow a user to retrieve documents by issuing queries.
no code implementations • 28 Jul 2023 • Georg Wenzel, Adam Jatowt
Temporal commonsense reasoning refers to the ability to understand the typical temporal context of phrases, actions, and events, and use it to reason over problems requiring such knowledge.
no code implementations • 7 Aug 2023 • Michael Färber, Jannik Schwade, Adam Jatowt
Determining and measuring diversity in news articles is important for a number of reasons, including preventing filter bubbles and fueling public discourse, especially before elections.
no code implementations • 25 Oct 2023 • Jiexin Wang, Liuwen Cao, Xitong Luo, Zhiping Zhou, Jiayuan Xie, Adam Jatowt, Yi Cai
Moreover, our study identifies weaknesses in existing models' ability to repair vulnerable code, even when provided with vulnerability information.
no code implementations • 1 Jan 2024 • Georg Wenzel, Adam Jatowt
Temporal validity is an important property of text that is useful for many downstream applications, such as recommender systems, conversational AI, or story understanding.
no code implementations • 6 Mar 2024 • Abdelrahman Abdallah, Daniel Eberharter, Zoe Pfister, Adam Jatowt
This paper presents a comprehensive survey of research works on the topic of form understanding in the context of scanned documents.