earnings call

Effective Performance Measurement: Challenges and Opportunities in KPI Extraction from Earnings Calls ACL 2026 From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls COLING 2025 SPGISpeech 2.0: Transcribed multi-speaker financial audio for speaker-tagged transcription Interspeech 2025 ConEC: Earnings Call Dataset with Real-world Contexts for Benchmarking Contextual Speech Recognition COLING 2024 ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction AAAI 2024 Explainable Earnings Call Representation Learning (Student Abstract) AAAI 2024 SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis NeurIPS 2024 Term-Driven Forward-Looking Claim Synthesis in Earnings Calls COLING 2024 Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract) AAAI 2023 ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts EMNLP 2022 It’s Time to Reason: Annotating Argumentation Structures in Financial Earnings Calls: The FinArg Dataset EMNLP 2022 NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting AAAI 2022 Earnings-21: A Practical Benchmark for ASR in the Wild Interspeech 2021 Template-aware Attention Model for Earnings Call Report Generation EMNLP 2021 Deep Learning Framework for Measuring the Digital Strategy of Companies from Earnings Calls COLING 2020 Risk Forecasting from Earnings Calls Acoustics and Network Correlations Interspeech 2020 VolTAGE: Volatility Forecasting via Text Audio Fusion with Graph Convolution Networks for Earnings Calls EMNLP 2020 Modeling Financial Analysts’ Decision Making via the Pragmatics and Semantics of Earnings Calls ACL 2019 PRoFET: Predicting the Risk of Firms from Event Transcripts IJCAI 2019