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PROGRAM
9:00–9:15 Opening and Welcome # %chair1 Mahmoud El-Haj %aff1 Lancaster University, UK | |
9:15–10:00 | Keynote Speaker Dr Bayan Abu Shawar |
10:00–13:30 Session 1: Main Workshop Papers # %chair1 Houda Bouamor %aff1 CMU, Qatar %chair2 Paul Rayson | |
FinRAD: Financial Readability Assessment Dataset - 13,000+ Definitions of Financial Terms for Measuring Readability Sohom Ghosh, Shovon Sengupta, Sudip Naskar and Sunny Kumar Singh | |
11:00–11:30 Coffee Break | |
Discovering Financial Hypernyms by Prompting Masked Language Models Bo Peng, Emmanuele Chersoni, Yu-Yin Hsu and Chu-Ren Huang | |
Sentiment Classification by Incorporating Background Knowledge from Financial Ontologies Timen Stepišnik-Perdih, Andraž Pelicon, Blaž Škrlj, Martin Žnidaršič, Igor Lončarski and Senja Pollak | |
Detecting Causes of Stock Price Rise and Decline by Machine Reading Comprehension with BERT Gakuto Tsutsumi and Takehito Utsuro | |
XLNET-GRU Sentiment Regression Model for Cryptocurrency News in English and Malay Nur Azmina Mohamad Zamani, Jasy Suet Yan Liew and Ahmad Muhyiddin Yusof | |
13:30–14:30 Lunch Break | |
14:30–15:30 Session 2: FNS Shared Task # %chair1 Nadhem Zmandar %aff1 Lancaster University, UK | |
The Financial Narrative Summarisation Shared Task (FNS 2022) Mahmoud El-Haj, Nadhem ZMANDAR, Paul Rayson, Ahmed AbuRa’ed, Marina Litvak, Nikiforos Pittaras, George Giannakopoulos, Aris Kosmopoulos, Blanca Carbajo-Coronado and Antonio Moreno-Sandoval | |
Multilingual Text Summarization on Financial Documents Negar Foroutan, Angelika Romanou, Stéphane Massonnet, Rémi Lebret and Karl Aberer | |
Extractive and Abstractive Summarization Methods for Financial Narrative Summarization in English, Spanish and Greek Alejandro Vaca, Alba Segurado, David Betancur and Álvaro Barbero Jiménez | |
DiMSum: Distributed and Multilingual Summarization of Financial Narratives Neelesh Shukla, Amit Vaid, Raghu Katikeri, Sangeeth Keeriyadath and Msp Raja | |
Transformer-based Models for Long Document Summarisation in Financial Domain Urvashi Khanna, Samira Ghodratnama, Diego Moll´a and Amin Beheshti | |
Financial Narrative Summarisation Using a Hybrid TF-IDF and Clustering Summariser: AO-Lancs System at FNS 2022 Mahmoud El-Haj and Andrew Ogden | |
16:10–16:40 Session 3: FinTOC Shared Task # %chair1 Juyeon Kang %aff1 Fortia | |
The Financial Document Structure Extraction Shared Task (FinTOC 2022) Juyeon Kang, Abderrahim Ait Azzi, Sandra Bellato, Blanca Carbajo Coronado, Mahmoud El-Haj, Ismail El Maarouf, Mei Gan, Ana Gisbert and Antonio Moreno Sandoval | |
ISPRAS@FinTOC-2022 Shared Task: Two-stage TOC Generation Model Anastasiia Bogatenkova, Oksana Vladimirovna Belyaeva, Andrew Igorevich Perminov and Ilya Sergeevich Kozlov | |
swapUNIBA@FinTOC2022: Fine-tuning Pre-trained Document Image Analysis Model for Title Detection on the Financial Domain Pierluigi Cassotti, Cataldo Musto, Marco DeGemmis, Georgios Lekkas and Giovanni Semeraro | |
GREYC@FinTOC-2022: Handling Document Layout and Structure in Native PDF Bundle of Documents Emmanuel Giguet and Nadine Lucas | |
16:45–17:55 Session 4: FinCausal Shared Task # %chair1 Dominique Mariko %aff1 Yseop | |
The Financial Causality Extraction Shared Task (FinCausal 2022) Dominique Mariko, Hanna Abi-Akl, Kim Trottier and Mahmoud El-Haj | |
SPOCK at FinCausal 2022: Causal Information Extraction Using Span -Based and Sequence Tagging Models Anik Saha, Jian Ni, Oktie Hassanzadeh, Alex Gittens, Kavitha Srinivas and Bulent Yener | |
Multilingual Financial Documentation Summarization by Team_Tredence for FNS2022 Manish Pant and Ankush Chopra | |
DCU-Lorcan at FinCausal 2022: Span-based Causality Extraction from Financial Documents using Pre-trained Language Models Chenyang Lyu, Tianbo Ji, Quanwei Sun and Liting Zhou | |
LIPI at FinCausal 2022: Mining Causes and Effects from Financial Texts Sohom Ghosh and Sudip Naskar | |
iLab at FinCausal 2022: Enhancing Causality Detection with an External Cause-Effect Knowledge Graph Ziwei Xu, Rungsiman Nararatwong, Natthawut Kertkeidkachorn and Ryutaro Ichise | |
ExpertNeurons at FinCausal 2022 Task 2: Causality Extraction for Financial Documents Joydeb Mondal, Nagaraj Bhat, Pramir Sarkar and Shahid Reza | |
ATL at FinCausal 2022: Transformer Based Architecture for Automatic Causal Sentence Detection and Cause-Effect Extraction Abir Naskar, Tirthankar Dasgupta, Sudeshna Jana and Lipika Dey | |
MNLP at FinCausal2022: Nested NER with a Generative Model Jooyeon Lee, Luan Huy Pham and Özlem Uzuner |