1 |
CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language Understanding ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
XeroAlign: Zero-Shot Cross-lingual Transformer Alignment ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Conversation Graph: Data Augmentation, Training and Evaluation for Non-Deterministic Dialogue Management ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
XeroAlign: Zero-shot cross-lingual transformer alignment ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Conversation Graph: Data Augmentation, Training and Evaluation for Non-Deterministic Dialogue Management ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Where are you talking about? Advances and Challenges of Geographic Analysis of Text with Application to Disease Monitoring ...
|
|
Gritta, Milan. - : Apollo - University of Cambridge Repository, 2019
|
|
BASE
|
|
Show details
|
|
13 |
A Comparison of Techniques for Sentiment Classification of Film Reviews ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Where are you talking about? Advances and Challenges of Geographic Analysis of Text with Application to Disease Monitoring
|
|
Gritta, Milan. - : University of Cambridge, 2019. : Faculty of Modern and Medieval Languages, 2019. : Fitzwilliam College, 2019
|
|
BASE
|
|
Show details
|
|
16 |
A pragmatic guide to geoparsing evaluation: Toponyms, Named Entity Recognition and pragmatics
|
|
|
|
In: Lang Resour Eval (2019)
|
|
Abstract:
Empirical methods in geoparsing have thus far lacked a standard evaluation framework describing the task, metrics and data used to compare state-of-the-art systems. Evaluation is further made inconsistent, even unrepresentative of real world usage by the lack of distinction between the different types of toponyms, which necessitates new guidelines, a consolidation of metrics and a detailed toponym taxonomy with implications for Named Entity Recognition (NER) and beyond. To address these deficiencies, our manuscript introduces a new framework in three parts. (Part 1) Task Definition: clarified via corpus linguistic analysis proposing a fine-grained Pragmatic Taxonomy of Toponyms. (Part 2) Metrics: discussed and reviewed for a rigorous evaluation including recommendations for NER/Geoparsing practitioners. (Part 3) Evaluation data: shared via a new dataset called GeoWebNews to provide test/train examples and enable immediate use of our contributions. In addition to fine-grained Geotagging and Toponym Resolution (Geocoding), this dataset is also suitable for prototyping and evaluating machine learning NLP models.
|
|
Keyword:
Original Paper
|
|
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7406539/ https://doi.org/10.1007/s10579-019-09475-3
|
|
BASE
|
|
Hide details
|
|
19 |
Which Melbourne? Augmenting geocoding with maps
|
|
Gritta, Milan; Pilehvar, Mohammad; Collier, Nigel. - : Association for Computational Linguistics, 2018. : ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), 2018
|
|
BASE
|
|
Show details
|
|
|
|