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2020 – today
- 2024
[c12]Evelin Amorim, Ricardo Campos
, Alípio Mário Jorge, Pedro Mota, Rúben Almeida:
text2story: A Python Toolkit to Extract and Visualize Story Components of Narrative Text. LREC/COLING 2024: 15761-15772- 2023
- [c11]Miguel Abreu, Pedro Mota, Luís Paulo Reis, Nuno Lau, Mário Florido:
FC Portugal: RoboCup 2023 3D Simulation League Champions. RoboCup 2023: 416-427 - 2022
- [j2]Nuno F. M. Martins, Pedro Mota:
An adapted plane waves method for heat conduction problems. Appl. Math. Comput. 415: 126689 (2022) - [c10]Pedro Mota, Vera Cabarrão, Eduardo Farah:
Fast-Paced Improvements to Named Entity Handling for Neural Machine Translation. EAMT 2022: 141-149 - [c9]Miguel Menezes, Vera Cabarrão, Pedro Mota, Helena Moniz, Alon Lavie:
A Case Study on the Importance of Named Entities in a Machine Translation Pipeline for Customer Support Content. EAMT 2022: 209-217 - [c8]Vasco Campos, Ricardo Campos, Pedro Mota, Alípio Jorge:
Tweet2Story: A Web App to Extract Narratives from Twitter. ECIR (2) 2022: 270-275
2010 – 2019
- 2019
- [c7]Pedro Mota, Maxine Eskénazi, Luísa Coheur:
BeamSeg: A Joint Model for Multi-Document Segmentation and Topic Identification. CoNLL 2019: 582-592 - [c6]Patrícia Macedo, Carla Pereira, Pedro Mota, Daniela Silva, Ana Frade, Rui Neves Madeira:
Conversational Agent in mHealth to empower people managing the Parkinson's Disease. EUSPN/ICTH 2019: 402-408 - 2018
- [j1]Pedro Mota, Maxine Eskénazi, Luísa Coheur:
MUSED: A multimedia multi-document dataset for topic segmentation. Nat. Lang. Eng. 24(6): 921-946 (2018) - [c5]Pedro Mota, Luísa Coheur, Maxine Eskénazi:
Efficient Navigation in Learning Materials: An Empirical Study on the Linking Process. AIED (2) 2018: 230-235 - [c4]Pedro Mota, Maike Paetzel, Andrea Fox, Aida Amini, Siddarth Srinivasan, James Kennedy:
Expressing Coherent Personality with Incremental Acquisition of Multimodal Behaviors. RO-MAN 2018: 396-403 - 2016
- [c3]Pedro Mota, Maxine Eskénazi, Luísa Coheur:
Multi-document Topic Segmentation Using Bayesian Estimation. ICSC 2016: 443-447 - [i1]Pedro Mota, Maxine Eskénazi, Luísa Coheur:
Graph-Community Detection for Cross-Document Topic Segment Relationship Identification. CoRR abs/1606.04081 (2016) - 2015
- [c2]Pedro Mota, Francisco S. Melo, Luísa Coheur:
Modeling Students Self-Studies Behaviors. AAMAS 2015: 1521-1528 - 2012
- [c1]Pedro Mota, Luísa Coheur, Sérgio Curto, Pedro Fialho:
Natural Language Understanding: From Laboratory Predictions to Real Interactions. TSD 2012: 640-647
Coauthor Index
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last updated on 2024-08-05 21:17 CEST by the dblp team
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