Search Results for author: Adam Jatowt

Found 29 papers, 2 papers with code

A Survey of Automatic Text Summarization Using Graph Neural Networks

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.

Text Summarization

Fine-tuning de modèles de langues pour la veille épidémiologique multilingue avec peu de ressources (Fine-tuning Language Models for Low-resource Multilingual Epidemic Surveillance)

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.

MAKED: Multi-lingual Automatic Keyword Extraction Dataset

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.

Keyword Extraction

A Survey on Medical Document Summarization

no code implementations3 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.

Document Summarization

Predicting Companies' ESG Ratings from News Articles Using Multivariate Timeseries Analysis

no code implementations13 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.

A Survey on Multi-hop Question Answering and Generation

no code implementations19 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.

Multi-hop Question Answering Question Answering +1

A Survey on Multi-modal Summarization

no code implementations11 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.

ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Historical News Collections

no code implementations8 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.

Open-Domain Question Answering

A Neural Conversation Generation Model via Equivalent Shared Memory Investigation

1 code implementation20 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.

Text Generation

Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs

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).

Knowledge Graphs Question Answering

Multi-TimeLine Summarization (MTLS): Improving Timeline Summarization by Generating Multiple Summaries

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).

Timeline Summarization

Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction

no code implementations22 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.

Knowledge Graphs Link Prediction

Multilingual Epidemiological Text Classification: A Comparative Study

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.

Multilingual text classification text-classification +1

GMH: A General Multi-hop Reasoning Model for KG Completion

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.

Knowledge Graphs

Multi-Modal Summary Generation using Multi-Objective Optimization

no code implementations19 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.

ECIR 2020 Workshops: Assessing the Impact of Going Online

no code implementations14 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.

Annotating and Analyzing Biased Sentences in News Articles using Crowdsourcing

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.

Bias Detection Fake News Detection

Dataset for Temporal Analysis of English-French Cognates

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.

Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks

no code implementations19 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.

Event Extraction Information Retrieval +2

Citation Recommendation: Approaches and Datasets

1 code implementation17 Feb 2020 Michael Färber, Adam Jatowt

In recent years, several approaches and evaluation data sets have been presented.

Citation Recommendation

Spatio-Temporal Prediction of Dialectal Variant Usage

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.

A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task

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).

Common Sense Reasoning Feature Engineering +1

HistoryComparator: Interactive Across-Time Comparison in Document Archives

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.

Decision Making Named Entity Recognition (NER)

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