Papers with temporal relation classification
Extracting Temporal Event Relation with Syntax-guided Graph Transformer (2022.findings-naacl)
Copied to clipboard
| Challenge: | Temporal relationship extraction is crucial for understanding complex events and reasoning over them. |
| Approach: | They propose a Syntax-guided Graph Transformer network to extract temporal relations between events by explicitly exploiting the connection between two events based on their dependency parsing trees. |
| Outcome: | The proposed approach outperforms state-of-the-art methods on MATRES and TB-DENSE with up to 7.9% absolute F-score gain. |
Temporal Event Knowledge Acquisition via Identifying Narratives (P18-1)
Copied to clipboard
| Challenge: | Existing knowledge of narrative examples is lacking and difficult to obtain. |
| Approach: | They propose a weakly supervised approach for acquiring rich temporal event knowledge across sentences in narrative stories. |
| Outcome: | The proposed approach outperforms neural network models on the narrative cloze task. |
Systems’ Agreements and Disagreements in Temporal Processing: An Extensive Error Analysis of the TempEval-3 Task (L18-1)
Copied to clipboard
| Challenge: | Temporal Processing systems are crucial for timelines and storylines . TempEval-3 is the latest evaluation campaign on open-domain TP in english . |
| Approach: | They present a Temporal Processing system that incorporates high level lexical semantic features and uses them to evaluate temporal relation classification. |
| Outcome: | The proposed system achieves the best scores for event detection and temporal relation classification from raw text, but the errors are not as robust as previous systems. |
Temporal Relation Classification using Boolean Question Answering (2023.findings-acl)
Copied to clipboard
| Challenge: | a new approach for temporal relation classification (TRC) is proposed . a boolean question answering model is used to classify temporal relations between two events . |
| Approach: | They propose an efficient approach for temporal relation classification using a boolean question answering model based on TRC annotation guidelines. |
| Outcome: | The proposed model outperforms state-of-the-art models by 2.4% on questions designed by human annotation experts. |
How about Time? Probing a Multilingual Language Model for Temporal Relations (2022.coling-1)
Copied to clipboard
| Challenge: | XLM-R is a multilingual language model for temporal relation classification between events in four languages. |
| Approach: | They propose to use a multilingual language model for temporal relation classification between events in four languages to obtain contextualized embeddings. |
| Outcome: | The proposed model outperforms state-of-the-art models in obtaining competitive results against state- of-the art systems, but lacks suitable encoded information to address this task. |
Utilizing Relative Event Time to Enhance Event-Event Temporal Relation Extraction (2021.emnlp-main)
Copied to clipboard
| Challenge: | Existing methods for event-event temporal relation extraction are sparse on event-time information. |
| Approach: | They propose a model for event-event temporal relation classification and an auxiliary task, relative event time prediction, which predicts the event time as real numbers. |
| Outcome: | The proposed model significantly improves the RoBERTa-based baseline and achieves state-of-the-art performance on MATRES dataset. |