Retrieval evaluation on focused tasks. - Besnik Fetahu; Ralf Schenkel (SIGIR, 2012)

Complex Matching of RDF Datatype Properties. - Bernardo Pereira Nunes; Alexander Arturo Mera Caraballo; Marco Antonio Casanova; Besnik Fetahu; Luiz André P. Paes Leme; Stefan Dietze (DEXA (1), 2013)

Evaluating Relevance of Educational Resources of Social and Semantic Web. - Davide Taibi 002; Giovanni Fulantelli; Stefan Dietze; Besnik Fetahu (EC-TEL, 2013)

Combining a Co-occurrence-Based and a Semantic Measure for Entity Linking. - Bernardo Pereira Nunes; Stefan Dietze; Marco Antonio Casanova; Ricardo Kawase; Besnik Fetahu; Wolfgang Nejdl (ESWC, 2013)

Summaries on the Fly: Query-Based Extraction of Structured Knowledge from Web Documents. - Besnik Fetahu; Bernardo Pereira Nunes; Stefan Dietze (ICWE, 2013)

Interlinking Documents based on Semantic Graphs. - Bernardo Pereira Nunes; Ricardo Kawase; Besnik Fetahu; Stefan Dietze; Marco A. Casanova; Diana Maynard (KES, 2013)

Cite4Me: Semantic Retrieval and Analysis of Scientific Publications. - Bernardo Pereira Nunes; Besnik Fetahu; Marco Antonio Casanova (LAK (Data Challenge), 2013)

Generating structured Profiles of Linked Data Graphs. - Besnik Fetahu; Stefan Dietze; Bernardo Pereira Nunes; Davide Taibi 002; Marco Antonio Casanova (ISWC (Posters & Demos), 2013)

Cite4Me: A Semantic Search and Retrieval Web Application for Scientific Publications. - Bernardo Pereira Nunes; Besnik Fetahu; Stefan Dietze; Marco A. Casanova (ISWC (Posters & Demos), 2013)

Towards focused knowledge extraction: query-based extraction of structured summaries. - Besnik Fetahu; Bernardo Pereira Nunes; Stefan Dietze (WWW (Companion Volume), 2013)

Towards integration of web data into a coherent educational data graph. - Davide Taibi 002; Besnik Fetahu; Stefan Dietze (WWW (Companion Volume), 2013)

A Scalable Approach for Efficiently Generating Structured Dataset Topic Profiles. - Besnik Fetahu; Stefan Dietze; Bernardo Pereira Nunes; Marco Antonio Casanova; Davide Taibi 002; Wolfgang Nejdl (ESWC, 2014)

A Topic Extraction Process for Online Forums. - Bernardo Pereira Nunes; Alexander Arturo Mera Caraballo; Ricardo Kawase; Besnik Fetahu; Marco A. Casanova; Gilda Helena Bernardino de Campos (ICALT, 2014)

Crawl Me Maybe: Iterative Linked Dataset Preservation. - Besnik Fetahu; Ujwal Gadiraju; Stefan Dietze (ISWC (Posters & Demos), 2014)

Exploring type-specific topic profiles of datasets: a demo for educational linked data. - Davide Taibi 002; Stefan Dietze; Besnik Fetahu; Giovanni Fulantelli (ISWC (Posters & Demos), 2014)

Educational Forums at a Glance: Topic Extraction and Selection. - Bernardo Pereira Nunes; Ricardo Kawase; Besnik Fetahu; Marco A. Casanova; Gilda Helena Bernardino de Campos (WISE (2), 2014)

What's all the data about?: creating structured profiles of linked data on the web. - Besnik Fetahu; Stefan Dietze; Bernardo Pereira Nunes; Marco Antonio Casanova; Davide Taibi 002; Wolfgang Nejdl (WWW (Companion Volume), 2014)

Automated News Suggestions for Populating Wikipedia Entity Pages. - Besnik Fetahu; Katja Markert; Avishek Anand (CIKM, 2015)

Training Workers for Improving Performance in Crowdsourcing Microtasks. - Ujwal Gadiraju; Besnik Fetahu; Ricardo Kawase (EC-TEL, 2015)

Breaking Bad: Understanding Behavior of Crowd Workers in Categorization Microtasks. - Ujwal Gadiraju; Patrick Siehndel; Besnik Fetahu; Ricardo Kawase (HT, 2015)

Improving Entity Retrieval on Structured Data. - Besnik Fetahu; Ujwal Gadiraju; Stefan Dietze (ISWC (1), 2015)

How much is Wikipedia Lagging Behind News? - Besnik Fetahu; Abhijit Anand; Avishek Anand (WebSci, 2015)

Adaptive Focused Crawling of Linked Data. - Ran Yu 001; Ujwal Gadiraju; Besnik Fetahu; Stefan Dietze (WISE (1), 2015)

Towards Analysing the Scope and Coverage of Educational Linked Data on the Web. - Davide Taibi 002; Giovanni Fulantelli; Stefan Dietze; Besnik Fetahu (WWW (Companion Volume), 2015)

Exploring TED talks as linked data for education. - Davide Taibi 002; Saniya Chawla; Stefan Dietze; Ivana Marenzi; Besnik Fetahu (Br. J. Educ. Technol., 2015)

Finding News Citations for Wikipedia. - Besnik Fetahu; Katja Markert; Wolfgang Nejdl; Avishek Anand (CIKM, 2016)

Towards Entity Summarisation on Structured Web Markup. - Ran Yu 001; Ujwal Gadiraju; Xiaofei Zhu; Besnik Fetahu; Stefan Dietze (ESWC (Satellite Events), 2016)

A Survey on Challenges in Web Markup Data for Entity Retrieval. - Ran Yu 001; Besnik Fetahu; Ujwal Gadiraju; Stefan Dietze (ISWC (Posters & Demos), 2016)

Enrichment and Preservation of Architectural Knowledge. - Jakob Beetz; Ina Blümel; Stefan Dietze; Besnik Fetahu; Ujwal Gadiraju; Martin Hecher; Thomas Krijnen; Michelle Lindlar; Martin Tamke; Raoul Wessel; Ran Yu 001 (3D Research Challenges in Cultural Heritage, 2016)

Educational Linked Data on the Web - Exploring and Analysing the Scope and Coverage. - Davide Taibi 002; Giovanni Fulantelli; Stefan Dietze; Besnik Fetahu (Open Data for Education, 2016)

AFEL: Towards Measuring Online Activities Contributions to Self-directed Learning. - Mathieu d'Aquin; Alessandro Adamou; Stefan Dietze; Besnik Fetahu; Ujwal Gadiraju; Ilire Hasani-Mavriqi; Peter Holtz; Joachim Kimmerle; Dominik Kowald; Elisabeth Lex; Susana López-Sola; Ricardo Alonso Maturana; et al. (ARTEL@EC-TEL, 2017)

Fine Grained Citation Span for References in Wikipedia. - Besnik Fetahu; Katja Markert; Avishek Anand (EMNLP, 2017)

FuseM: Query-Centric Data Fusion on Structured Web Markup. - Ran Yu 001; Ujwal Gadiraju; Besnik Fetahu; Stefan Dietze (ICDE, 2017)

Using Worker Self-Assessments for Competence-Based Pre-Selection in Crowdsourcing Microtasks. - Ujwal Gadiraju; Besnik Fetahu; Ricardo Kawase; Patrick Siehndel; Stefan Dietze (ACM Trans. Comput. Hum. Interact., 2017)

Approaches for enriching and improving textual knowledge bases. - Besnik Fetahu (2017)

LimitBias! Measuring Worker Biases in the Crowdsourced Collection of Subjective Judgments (short paper). - Christoph Hube; Besnik Fetahu; Ujwal Gadiraju (SAD/CrowdBias@HCOMP, 2018)

Detecting Biased Statements in Wikipedia. - Christoph Hube; Besnik Fetahu (WWW (Companion Volume), 2018)

Real-time Event-based News Suggestion for Wikipedia Pages from News Streams. - Lijun Lyu; Besnik Fetahu (WWW (Companion Volume), 2018)

Approaches for Enriching and Improving Textual Knowledge Bases. - Besnik Fetahu (SIGIR Forum, 2018)

FAE: A Fairness-Aware Ensemble Framework. - Vasileios Iosifidis; Besnik Fetahu; Eirini Ntoutsi (IEEE BigData, 2019)

Understanding and Mitigating Worker Biases in the Crowdsourced Collection of Subjective Judgments. - Christoph Hube; Besnik Fetahu; Ujwal Gadiraju (CHI, 2019)

Simple-ML: Towards a Framework for Semantic Data Analytics Workflows. - Simon Gottschalk 001; Nicolas Tempelmeier; Günter Kniesel; Vasileios Iosifidis; Besnik Fetahu; Elena Demidova (SEMANTiCS, 2019)

Neural Based Statement Classification for Biased Language. - Christoph Hube; Besnik Fetahu (WSDM, 2019)

TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables. - Besnik Fetahu; Avishek Anand; Maria Koutraki (WWW, 2019)

Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability. - Miriam Redi; Besnik Fetahu; Jonathan T. Morgan; Dario Taraborelli (WWW, 2019)

KnowMore - knowledge base augmentation with structured web markup. - Ran Yu 001; Ujwal Gadiraju; Besnik Fetahu; Oliver Lehmberg; Dominique Ritze; Stefan Dietze (Semantic Web, 2019)

MedTable: Extracting Disease Types from Web Tables. - Maria Koutraki; Besnik Fetahu (ESWC (Satellite Events), 2020)

Debiasing Word Embeddings from Sentiment Associations in Names. - Christoph Hube; Maximilian Idahl; Besnik Fetahu (WSDM, 2020)

Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries. - Besnik Fetahu; Anjie Fang; Oleg Rokhlenko; Shervin Malmasi (SIGIR, 2021)

Neural OCR Post-Hoc Correction of Historical Corpora. - Lijun Lyu; Maria Koutraki; Besnik Fetahu; Martin Krickl (Trans. Assoc. Comput. Linguistics, 2021)

SDR: Efficient Neural Re-ranking using Succinct Document Representation. - Nachshon Cohen; Amit Portnoy; Besnik Fetahu; Amir Ingber (ACL (1), 2022)

MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition. - Shervin Malmasi; Anjie Fang; Besnik Fetahu; Sudipta Kar; Oleg Rokhlenko (COLING, 2022)

Reinforced Question Rewriting for Conversational Question Answering. - Zhiyu Chen 001; Jie Zhao; Anjie Fang; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (EMNLP (Industry Track), 2022)

Distilling Multilingual Transformers into CNNs for Scalable Intent Classification. - Besnik Fetahu; Akash Veeragouni; Oleg Rokhlenko; Shervin Malmasi (EMNLP (Industry Track), 2022)

CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting. - Andrea Iovine; Anjie Fang; Besnik Fetahu; Jie Zhao; Oleg Rokhlenko; Shervin Malmasi (EMNLP, 2022)

Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition. - Besnik Fetahu; Anjie Fang; Oleg Rokhlenko; Shervin Malmasi (NAACL-HLT, 2022)

SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER). - Shervin Malmasi; Anjie Fang; Besnik Fetahu; Sudipta Kar; Oleg Rokhlenko (SemEval@NAACL, 2022)

CycleNER: An Unsupervised Training Approach for Named Entity Recognition. - Andrea Iovine; Anjie Fang; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (WWW, 2022)

Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search. - Zhiyu Chen 001; Jason Ingyu Choi; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (ACL (industry), 2023)

Answering Unanswered Questions through Semantic Reformulations in Spoken QA. - Pedro Faustini; Zhiyu Chen 001; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (ACL (industry), 2023)

MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition. - Besnik Fetahu; Zhiyu Chen 001; Sudipta Kar; Oleg Rokhlenko; Shervin Malmasi (EMNLP (Findings), 2023)

InstructPTS: Instruction-Tuning LLMs for Product Title Summarization. - Besnik Fetahu; Zhiyu Chen 001; Oleg Rokhlenko; Shervin Malmasi (EMNLP (Industry Track), 2023)

Follow-on Question Suggestion via Voice Hints for Voice Assistants. - Besnik Fetahu; Pedro Faustini; Anjie Fang; Giuseppe Castellucci; Oleg Rokhlenko; Shervin Malmasi (EMNLP (Findings), 2023)

Composing Spoken Hints for Follow-on Question Suggestion in Voice Assistants. - Pedro Faustini; Besnik Fetahu; Giuseppe Castellucci; Anjie Fang; Oleg Rokhlenko; Shervin Malmasi (INTERSPEECH, 2023)

The 6th Workshop on e-eommerce and NLP (ECNLP 6). - Shervin Malmasi; Besnik Fetahu; Eugene Agichtein; Oleg Rokhlenko; Ido Guy; Nicola Ueffing; Surya Kallumadi (KDD, 2023)

SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2). - Besnik Fetahu; Sudipta Kar; Zhiyu Chen 001; Oleg Rokhlenko; Shervin Malmasi (SemEval@ACL, 2023)

Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers. - Lütfi Kerem Senel; Besnik Fetahu; Davis Yoshida; Zhiyu Chen 001; Giuseppe Castellucci; Nikhita Vedula; Jason Ingyu Choi; Shervin Malmasi (ACL (1), 2024)

Instant Answering in E-Commerce Buyer-Seller Messaging Using Message-to-Question Reformulation. - Besnik Fetahu; Tejas Mehta; Qun Song 008; Nikhita Vedula; Oleg Rokhlenko; Shervin Malmasi (ECIR (4), 2024)

Controllable Decontextualization of Yes/No Question and Answers into Factual Statements. - Lingbo Mo; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (ECIR (2), 2024)

Identifying High Consideration E-Commerce Search Queries. - Zhiyu Chen 001; Jason Ingyu Choi; Besnik Fetahu; Shervin Malmasi (EMNLP (Industry Track), 2024)

Identifying Shopping Intent in Product QA for Proactive Recommendations. - Besnik Fetahu; Nachshon Cohen; Elad Haramaty; Liane Lewin-Eytan; Oleg Rokhlenko; Shervin Malmasi (IRonGraphs, 2024)

Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching. - Xiangci Li; Zhiyu Chen 001; Jason Ingyu Choi; Nikhita Vedula; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (ACL (1), 2025)