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EMNLP 2022

2,056 papers

Transfer learning for multilingual vacancy text generation

Anna Lorincz, David Graus, Dor Lavi, Joao Lebre Magalhaes Pereira

Are Abstractive Summarization Models truly ‘Abstractive’? An Empirical Study to Compare the two Forms of Summarization

Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah

Template-based Contact Email Generation for Job Recommendation

Qiuchi Li, Christina Lioma

Controllable Text Generation for All Ages: Evaluating a Plug-and-Play Approach to Age-Adapted Dialogue

Lennert Jansen, Štěpán Lars Laichter, Arabella Sinclair, Margot van der Goot, Raquel Fernández

Enhancing and Evaluating the Grammatical Framework Approach to Logic-to-Text Generation

Eduardo Calò, Elze van der Werf, Albert Gatt, Kees van Deemter

Evaluation of Response Generation Models: Shouldn’t It Be Shareable and Replicable?

Seyed Mahed Mousavi, Gabriel Roccabruna, Michela Lorandi, Simone Caldarella, Giuseppe Riccardi

WikiOmnia: filtration and evaluation of the generated QA corpus on the whole Russian Wikipedia

Dina Pisarevskaya, Tatiana Shavrina

Towards In-Context Non-Expert Evaluation of Reflection Generation for Counselling Conversations

Zixiu Wu, Simone Balloccu, Rim Helaoui, Diego Reforgiato Recupero, Daniele Riboni

Semantic Similarity as a Window into Vector- and Graph-Based Metrics

Wai Ching Leung, Shira Wein, Nathan Schneider

Revisiting text decomposition methods for NLI-based factuality scoring of summaries

John Glover, Federico Fancellu, Vasudevan Jagannathan, Matthew R. Gormley, Thomas Schaaf

CLSE: Corpus of Linguistically Significant Entities

Aleksandr Chuklin, Justin Zhao, Mihir Kale

Analyzing Multi-Task Learning for Abstractive Text Summarization

Frederic Thomas Kirstein, Jan Philip Wahle, Terry Ruas, Bela Gipp

Weakly Supervised Context-based Interview Question Generation

Samiran Pal, Kaamraan Khan, Avinash Kumar Singh, Subhasish Ghosh, Tapas Nayak

Generating Coherent Narratives with Subtopic Planning to Answer How-to Questions

Pengshan Cai, Mo Yu, Fei Liu, Hong Yu

Task-driven augmented data evaluation

Olga Golovneva, Pan Wei, Khadige Abboud, Charith Peris, Lizhen Tan

Improving abstractive summarization with energy-based re-ranking

Diogo Pernes, Afonso Mendes, André F. T. Martins

Using Transformer-based Models for Taxonomy Enrichment and Sentence Classification

Parag Pravin Dakle, Shrikumar Patil, Sai Krishna Rallabandi, Chaitra Hegde, Preethi Raghavan

Ranking Environment, Social And Governance Related Concepts And Assessing Sustainability Aspect of Financial Texts

Sohom Ghosh, Sudip Kumar Naskar

TCS WITM 2022@FinSim4-ESG: Augmenting BERT with Linguistic and Semantic features for ESG data classification

Tushar Goel, Vipul Chauhan, Suyash Sangwan, Ishan Verma, Tirthankar Dasgupta

Knowledge informed sustainability detection from short financial texts

Boshko Koloski, Syrielle Montariol, Matthew Purver, Senja Pollak

Automatic Term and Sentence Classification Via Augmented Term and Pre-trained language model in ESG Taxonomy texts

Ke Tian, Zepeng Zhang, Hua Chen

Using Contextual Sentence Analysis Models to Recognize ESG Concepts

Elvys Linhares Pontes, Mohamed Ben Jannet, José G. Moreno, Antoine Doucet

FinSim4-ESG Shared Task: Learning Semantic Similarities for the Financial Domain. Extended edition to ESG insights

Juyeon Kang, Ismail El Maarouf

A Sentiment and Emotion Annotated Dataset for Bitcoin Price Forecasting Based on Reddit Posts

Pavlo Seroyizhko, Zhanel Zhexenova, Muhammad Zohaib Shafiq, Fabio Merizzi, Andrea Galassi

AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations

Hongtao Ruan, Liying Zheng, Peixian Hu

Next-Year Bankruptcy Prediction from Textual Data: Benchmark and Baselines

Henri Arno, Klaas Mulier, Joke Baeck, Thomas Demeester

Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model

Jinan Zou, Haiyao Cao, Lingqiao Liu, Yuhao Lin, Ehsan Abbasnejad

How Can a Teacher Make Learning From Sparse Data Softer? Application to Business Relation Extraction

Hadjer Khaldi, Farah Benamara, Camille Pradel, Nathalie Aussenac-Gilles

It’s Time to Reason: Annotating Argumentation Structures in Financial Earnings Calls: The FinArg Dataset

Alaa Alhamzeh, Romain Fonck, Erwan Versmée, Elöd Egyed-Zsigmond, Harald Kosch

Prospectus Language and IPO Performance

Jared Sharpe, Keith Decker

No Stock is an Island: Learning Internal and Relational Attributes of Stocks with Contrastive Learning

Shicheng Li, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto

Jetsons at the FinNLP-2022 ERAI Task: BERT-Chinese for mining high MPP posts

Alolika Gon, Sihan Zha, Sai Krishna Rallabandi, Parag Pravin Dakle, Preethi Raghavan

LDPP at the FinNLP-2022 ERAI Task: Determinantal Point Processes and Variational Auto-encoders for Identifying High-Quality Opinions from a pool of Social Media Posts

Paul Trust, Rosane Minghim

Yet at the FinNLP-2022 ERAI Task: Modified models for evaluating the Rationales of Amateur Investors

Yan Zhuang, Fuji Ren

aiML at the FinNLP-2022 ERAI Task: Combining Classification and Regression Tasks for Financial Opinion Mining

Zhaoxuan Qin, Jinan Zou, Qiaoyang Luo, Haiyao Cao, Yang Jiao

UOA at the FinNLP-2022 ERAI Task: Leveraging the Class Label Description for Financial Opinion Mining

Jinan Zou, Haiyao Cao, Yanxi Liu, Lingqiao Liu, Ehsan Abbasnejad

DCU-ML at the FinNLP-2022 ERAI Task: Investigating the Transferability of Sentiment Analysis Data for Evaluating Rationales of Investors

Chenyang Lyu, Tianbo Ji, Liting Zhou

LIPI at the FinNLP-2022 ERAI Task: Ensembling Sentence Transformers for Assessing Maximum Possible Profit and Loss from Online Financial Posts

Sohom Ghosh, Sudip Kumar Naskar

PromptShots at the FinNLP-2022 ERAI Task: Pairwise Comparison and Unsupervised Ranking

Peratham Wiriyathammabhum

Overview of the FinNLP-2022 ERAI Task: Evaluating the Rationales of Amateur Investors

Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura, Hsin-Hsi Chen

A Taxonomical NLP Blueprint to Support Financial Decision Making through Information-Centred Interactions

Siavash Kazemian, Cosmin Munteanu, Gerald Penn

Exploring Robustness of Prefix Tuning in Noisy Data: A Case Study in Financial Sentiment Analysis

Sudhandar Balakrishnan, Yihao Fang, Xiaodan Zhu

Learning Better Intent Representations for Financial Open Intent Classification

Xianzhi Li, Will Aitken, Xiaodan Zhu, Stephen W. Thomas

DigiCall: A Benchmark for Measuring the Maturity of Digital Strategy through Company Earning Calls

Hilal Pataci, Kexuan Sun, T. Ravichandran

Stock Price Volatility Prediction: A Case Study with AutoML

Hilal Pataci, Yunyao Li, Yannis Katsis, Yada Zhu, Lucian Popa

TweetFinSent: A Dataset of Stock Sentiments on Twitter

Yulong Pei, Amarachi Mbakwe, Akshat Gupta, Salwa Alamir, Hanxuan Lin

Toward Privacy-preserving Text Embedding Similarity with Homomorphic Encryption

Donggyu Kim, Garam Lee, Sungwoo Oh

Disentangled Variational Topic Inference for Topic-Accurate Financial Report Generation

Sixing Yan

AstBERT: Enabling Language Model for Financial Code Understanding with Abstract Syntax Trees

Rong Liang, Tiehua Zhang, Yujie Lu, Yuze Liu, Zhen Huang

Contextualizing Emerging Trends in Financial News Articles

Nhu Khoa Nguyen, Thierry Delahaut, Emanuela Boros, Antoine Doucet, Gaël Lejeune

A Report on the Euphemisms Detection Shared Task

Patrick Lee, Anna Feldman, Jing Peng

A Report on the FigLang 2022 Shared Task on Understanding Figurative Language

Arkadiy Saakyan, Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan

On the Cusp of Comprehensibility: Can Language Models Distinguish Between Metaphors and Nonsense?

Bernadeta Griciūtė, Marc Tanti, Lucia Donatelli

Exploring Euphemism Detection in Few-Shot and Zero-Shot Settings

Sedrick Scott Keh

FigurativeQA: A Test Benchmark for Figurativeness Comprehension for Question Answering

Geetanjali Rakshit, Jeffrey Flanigan

Adversarial Perturbations Augmented Language Models for Euphemism Identification

Guneet Kohli, Prabsimran Kaur, Jatin Bedi

NLP@UIT at FigLang-EMNLP 2022: A Divide-and-Conquer System For Shared Task On Understanding Figurative Language

Khoa Thi-Kim Phan, Duc-Vu Nguyen, Ngan Luu-Thuy Nguyen

SBU Figures It Out: Models Explain Figurative Language

Yash Kumar Lal, Mohaddeseh Bastan

Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning

Meghdut Sengupta, Milad Alshomary, Henning Wachsmuth

An Exploration of Linguistically-Driven and Transfer Learning Methods for Euphemism Detection

Devika Tiwari, Natalie Parde

Can Yes-No Question-Answering Models be Useful for Few-Shot Metaphor Detection?

Lena Dankin, Kfir Bar, Nachum Dershowitz

An insulin pump? Identifying figurative links in the construction of the drug lexicon

Antonio Reyes, Rafael Saldivar

EUREKA: EUphemism Recognition Enhanced through Knn-based methods and Augmentation

Sedrick Scott Keh, Rohit Bharadwaj, Emmy Liu, Simone Tedeschi, Varun Gangal

Food for Thought: How can we exploit contextual embeddings in the translation of idiomatic expressions?

Lukas Santing, Ryan Sijstermans, Giacomo Anerdi, Pedro Jeuris, Marijn ten Thij

Bayes at FigLang 2022 Euphemism Detection shared task: Cost-Sensitive Bayesian Fine-tuning and Venn-Abers Predictors for Robust Training under Class Skewed Distributions

Paul Trust, Kadusabe Provia, Kizito Omala

Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE

Yuling Gu, Yao Fu, Valentina Pyatkin, Ian Magnusson, Bhavana Dalvi Mishra

Euphemism Detection by Transformers and Relational Graph Attention Network

Yuting Wang, Yiyi Liu, Ruqing Zhang, Yixing Fan, Jiafeng Guo

Distribution-Based Measures of Surprise for Creative Language: Experiments with Humor and Metaphor

Razvan C. Bunescu, Oseremen O. Uduehi

Detecting Euphemisms with Literal Descriptions and Visual Imagery

Ilker Kesen, Aykut Erdem, Erkut Erdem, Iacer Calixto

Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5

Irina Bigoulaeva, Rachneet Singh Sachdeva, Harish Tayyar Madabushi, Aline Villavicencio, Iryna Gurevych

Drum Up SUPPORT: Systematic Analysis of Image-Schematic Conceptual Metaphors

Lennart Wachowiak, Dagmar Gromann, Chao Xu

The Secret of Metaphor on Expressing Stronger Emotion

Yucheng Li, Frank Guerin, Chenghua Lin

Picard understanding Darmok: A Dataset and Model for Metaphor-Rich Translation in a Constructed Language

Peter A. Jansen, Jordan Boyd-Graber

Ring That Bell: A Corpus and Method for Multimodal Metaphor Detection in Videos

Khalid Alnajjar, Mika Hämäläinen, Shuo Zhang

Transfer Learning Parallel Metaphor using Bilingual Embeddings

Maria Berger

A Prompt Based Approach for Euphemism Detection

Abulimiti Maimaitituoheti, Yang Yong, Fan Xiaochao

TEDB System Description to a Shared Task on Euphemism Detection 2022

Peratham Wiriyathammabhum

Temporal Word Meaning Disambiguation using TimeLMs

Mihir Godbole, Parth Dandavate, Aditya Kane

Leveraging time-dependent lexical features for offensive language detection

Barbara McGillivray, Malithi Alahapperuma, Jonathan Cook, Chiara Di Bonaventura, Albert Meroño-Peñuela

HSE at TempoWiC: Detecting Meaning Shift in Social Media with Diachronic Language Models

Elizaveta Tukhtina, Kseniia Kashleva, Svetlana Vydrina

CC-Top: Constrained Clustering for Dynamic Topic Discovery

Jann Goschenhofer, Pranav Ragupathy, Christian Heumann, Bernd Bischl, Matthias Aßenmacher

Class Incremental Learning for Intent Classification with Limited or No Old Data

Debjit Paul, Daniil Sorokin, Judith Gaspers

Using Two Losses and Two Datasets Simultaneously to Improve TempoWiC Accuracy

Mohammad Javad Pirhadi, Motahhare Mirzaei, Sauleh Eetemadi

Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC

Ze Chen, Kangxu Wang, Zijian Cai, Jiewen Zheng, Jiarong He

MLLabs-LIG at TempoWiC 2022: A Generative Approach for Examining Temporal Meaning Shift

Chenyang Lyu, Yongxin Zhou, Tianbo Ji

User or Labor: An Interaction Framework for Human-Machine Relationships in NLP

Ruyuan Wan, Naome Etori, Karla Badillo-Urquiola, Dongyeop Kang

Interactively Uncovering Latent Arguments in Social Media Platforms: A Case Study on the Covid-19 Vaccine Debate

Maria Leonor Pacheco, Tunazzina Islam, Lyle Ungar, Ming Yin, Dan Goldwasser

Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop

Md Tahmid Rahman Laskar, Cheng Chen, Xue-yong Fu, Shashi Bhushan Tn

AVA-TMP: A Human-in-the-Loop Multi-layer Dynamic Topic Modeling Pipeline

Viseth Sean, Padideh Danaee, Yang Yang, Hakan Kardes

Improving Human Annotation Effectiveness for Fact Collection by Identifying the Most Relevant Answers

Pranav Kamath, Yiwen Sun, Thomas Semere, Adam Green, Scott Manley

Partially Humanizing Weak Supervision: Towards a Better Low Resource Pipeline for Spoken Language Understanding

Ayush Kumar, Rishabh Tripathi, Jithendra Vepa

Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification

Aleksandra Edwards, Asahi Ushio, Jose Camacho-Collados, Helene Ribaupierre, Alun Preece

A Comparative Analysis between Human-in-the-loop Systems and Large Language Models for Pattern Extraction Tasks

Maeda Hanafi, Yannis Katsis, Ishan Jindal, Lucian Popa

A Gamified Approach to Frame Semantic Role Labeling

Emily Amspoker, Miriam R L Petruck

Execution-based Evaluation for Data Science Code Generation Models

Junjie Huang, Chenglong Wang, Jipeng Zhang, Cong Yan, Haotian Cui

DoSA : A System to Accelerate Annotations on Business Documents with Human-in-the-Loop

Neelesh Shukla, Msp Raja, Raghu Katikeri, Amit Vaid

Crowdsourcing Preposition Sense Disambiguation with High Precision via a Priming Task

Shira Wein, Nathan Schneider

Cross-lingual Short-text Entity Linking: Generating Features for Neuro-Symbolic Methods

Qiuhao Lu, Sairam Gurajada, Prithviraj Sen, Lucian Popa, Dejing Dou

MEGAnno: Exploratory Labeling for NLP in Computational Notebooks

Dan Zhang, Hannah Kim, Rafael Li Chen, Eser Kandogan, Estevam Hruschka

Extended Multilingual Protest News Detection - Shared Task 1, CASE 2021 and 2022

Ali Hürriyetoğlu, Osman Mutlu, Fırat Duruşan, Onur Uca, Alaeddin Gürel