activity
20172024
most citedCitation Recommendation: Approaches and Datasets

81 citations · 282 across the 20 of their papers we have counts for

collaborators

22 papers

cs.CL2024★ 1 cited

Temporal Validity Change Prediction

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. Existing…

cs.CL2023

Measuring Variety, Balance, and Disparity: An Analysis of Media Coverage of the 2021 German Federal Election

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 elect…

cs.AI2023★ 3 cited

An Overview Of Temporal Commonsense Reasoning and Acquisition

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 k…

cs.CL2023★ 5 cited

Generator-Retriever-Generator Approach for Open-Domain Question Answering

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. We propose a novel approach called…

cs.CL2023

Archive TimeLine Summarization (ATLS): Conceptual Framework for Timeline Generation over Historical Document Collections

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. The study of these collections may…

cs.CL2022★ 9 cited

A Survey on Medical Document Summarization

Raghav Jain, Anubhav Jangra, Sriparna Saha +1

The internet has had a dramatic effect on the healthcare industry, allowing documents to be saved, shared, and managed digitally. This has made it easier to locate and share import…

q-fin.GN2022★ 6 cited

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

Tanja Aue, Adam Jatowt, Michael Färber

Environmental, social and governance (ESG) engagement of companies moved into the focus of public attention over recent years. With the requirements of compulsory reporting being i…

cs.CL2022★ 22 cited

BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information

Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa +1

Time is an important aspect of documents and is used in a range of NLP and IR tasks. In this work, we investigate methods for incorporating temporal information during pre-training…

cs.CL2022★ 18 cited

Multi-hop Question Answering

Vaibhav Mavi, Anubhav Jangra, Adam Jatowt

The task of Question Answering (QA) has attracted significant research interest for long. Its relevance to language understanding and knowledge retrieval tasks, along with the simp…

cs.DL2021

Change Summarization of Diachronic Scholarly Paper Collections by Semantic Evolution Analysis

Naman Paharia, Muhammad Syafiq Mohd Pozi, Adam Jatowt

The amount of scholarly data has been increasing dramatically over the last years. For newcomers to a particular science domain (e.g., IR, physics, NLP) it is often difficult to sp…

cs.CL2021★ 5 cited

A Survey on Multi-modal Summarization

Anubhav Jangra, Sourajit Mukherjee, Adam Jatowt +2

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. These platforms have a provision for…

cs.CL2021★ 4 cited

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

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…

cs.CL2021

A Neural Conversation Generation Model via Equivalent Shared Memory Investigation

Changzhen Ji, Yating Zhang, Xiaozhong Liu +4

Conversation generation as a challenging task in Natural Language Generation (NLG) has been increasingly attracting attention over the last years. A number of recent works adopted…

cs.AI2021

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

Yao Zhang, Peiyao Li, Hongru Liang +2

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 K…

cs.AI2020★ 5 cited

Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction

Yao Zhang, Xu Zhang, Jun Wang +5

Developing link prediction models to automatically complete knowledge graphs has recently been the focus of significant research interest. The current methods for the link predicti…

cs.AI2020

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

Yao Zhang, Hongru Liang, Adam Jatowt +4

Knowledge graphs are essential for numerous downstream natural language processing applications, but are typically incomplete with many facts missing. This results in research effo…

cs.IR2020

Multi-Modal Summary Generation using Multi-Objective Optimization

Anubhav Jangra, Sriparna Saha, Adam Jatowt +1

Significant development of communication technology over the past few years has motivated research in multi-modal summarization techniques. A majority of the previous works on mult…

cs.IR2020

ECIR 2020 Workshops: Assessing the Impact of Going Online

Sérgio Nunes, Suzanne Little, Sumit Bhatia +11

ECIR 2020 https://ecir2020.org/ was one of the many conferences affected by the COVID-19 pandemic. The Conference Chairs decided to keep the initially planned dates (April 14-17, 2…

cs.LG2020★ 44 cited

Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks

Ali Balali, Masoud Asadpour, Ricardo Campos +1

Event extraction (EE) is one of the core information extraction tasks, whose purpose is to automatically identify and extract information about incidents and their actors from text…

cs.IR2020★ 81 cited

Citation Recommendation: Approaches and Datasets

Michael Färber, Adam Jatowt

Citation recommendation describes the task of recommending citations for a given text. Due to the overload of published scientific works in recent years on the one hand, and the ne…

cs.CL2018★ 78 cited

Survey of Computational Approaches to Lexical Semantic Change

Nina Tahmasebi, Lars Borin, Adam Jatowt

Our languages are in constant flux driven by external factors such as cultural, societal and technological changes, as well as by only partially understood internal motivations. Wo…

cs.DL2017★ 1 cited

Towards Understanding the Evolution of the WWW Conference

Pavel Savov, Adam Jatowt, Radoslaw Nielek

The World Wide Web conference is a well-established and mature venue with an already long history. Over the years it has been attracting papers reporting many important research ac…