Papers with context-aware neural network model
Context-Aware Neural Model for Temporal Information Extraction (P18-1)
Copied to clipboard
| Challenge: | Existing temporal information extraction systems rely on statistical learning with feature-engineered task-specific models. |
| Approach: | They propose a context-aware neural network model for temporal information extraction using a global context layer. |
| Outcome: | The proposed model outperforms existing models in terms of performance and performance . it is the first model to use NTM-like architecture to process the information from global context in discourse-scale natural text processing. |
Automated Phonological Transcription of Akkadian Cuneiform Text (2020.lrec-1)
Copied to clipboard
| Challenge: | Akkadian was an east-semitic language spoken in ancient Mesopotamia . cuneiform text does not mark the inflection for logograms, so the inflected form needs to be inferred from the sentence context. |
| Approach: | They propose to automate phonological transcription of the transliterated Akkadian corpora . transcription is normalized according to the grammatical description of a given dialect . they find that cuneiform text does not mark the inflection for logograms . |
| Outcome: | The proposed transcriptions show the Akkadian renderings for Sumerian logograms, while the logogram transcription is more challenging. |