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2020 – today
- 2022
[j11]Philip Osborne, Heido Nõmm, André Freitas:
A Survey of Text Games for Reinforcement Learning Informed by Natural Language. Trans. Assoc. Comput. Linguistics 10: 873-887 (2022)- [j10]Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas:
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference. Trans. Assoc. Comput. Linguistics 10: 1103-1119 (2022) - [c104]Edoardo Manino, Danilo Carvalho, Yi Dong, Julia Rozanova, Xidan Song, Mustafa A. Mustafa, André Freitas, Gavin Brown, Mikel Luján, Xiaowei Huang, Lucas C. Cordeiro:
EnnCore: End-to-End Conceptual Guarding of Neural Architectures. SafeAI@AAAI 2022 - [c103]Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas:
Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration. AAAI 2022: 11403-11411 - [c102]Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, Julia Rozanova, André Freitas:
To be or not to be an Integer? Encoding Variables for Mathematical Text. ACL (Findings) 2022: 938-948 - [c101]Edoardo Manino, Julia Rozanova, Danilo Carvalho, André Freitas, Lucas C. Cordeiro:
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective. ACL (Findings) 2022: 2355-2366 - [c100]Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Case-Based Abductive Natural Language Inference. COLING 2022: 1556-1568 - [c99]Guy Clarke Marshall, Caroline Jay, André Freitas:
Why Scholars Are Diagramming Neural Network Models. Diagrams 2022: 202-209 - [c98]Alex Bogatu, Norman W. Paton, Mark Douthwaite, André Freitas
:
Voyager: Data Discovery and Integration for Onboarding in Data Science. EDBT 2022: 2:537-2:548 - [c97]Jordan Meadows, Zili Zhou, André Freitas:
PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics. LREC 2022: 4611-4619 - [c96]Minh-Quoc Nghiem, Paul Baylis, André Freitas, Sophia Ananiadou:
Text Classification and Prediction in the Legal Domain. LREC 2022: 4717-4722 - [i66]Jordan Meadows, Zili Zhou, André Freitas:
PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics. CoRR abs/2201.04275 (2022) - [i65]Mauricio Jacobo-Romero, André Freitas:
Microeconomic Foundations of Decentralised Organisations. CoRR abs/2201.07666 (2022) - [i64]Mael Jullien, Marco Valentino, André Freitas:
Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language. CoRR abs/2201.10262 (2022) - [i63]Oskar Wysocki, Zili Zhou, Paul O'Regan, Deborah Ferreira, Magdalena Wysocka, Donal Landers, André Freitas:
Transformers and the representation of biomedical background knowledge. CoRR abs/2202.02432 (2022) - [i62]Oskar Wysocki, Jessica Katharine Davies, Markel Vigo, Anne Caroline Armstrong, Dónal Landers, Rebecca Lee, André Freitas:
Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making. CoRR abs/2204.05030 (2022) - [i61]Edoardo Manino, Julia Rozanova, Danilo Carvalho, André Freitas, Lucas C. Cordeiro:
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective. CoRR abs/2204.12316 (2022) - [i60]Marco Valentino, André Freitas:
Scientific Explanation and Natural Language: A Unified Epistemological-Linguistic Perspective for Explainable AI. CoRR abs/2205.01809 (2022) - [i59]Jordan Meadows, André Freitas:
A Survey in Mathematical Language Processing. CoRR abs/2205.15231 (2022) - [i58]Alex Bogatu, Magdalena Wysocka, Oskar Wysocki, Holly Butterworth, Donal Landers, Elaine Kilgour, André Freitas:
Metareview-informed Explainable Cytokine Storm Detection during CAR-T cell Therapy. CoRR abs/2206.10612 (2022) - [i57]Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, Dónal Landers, André Freitas:
Biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data. CoRR abs/2207.00812 (2022) - [i56]Alex Bogatu, Zili Zhou, Dónal Landers, André Freitas:
Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives. CoRR abs/2208.01376 (2022) - [i55]Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers. CoRR abs/2208.03339 (2022) - [i54]Mauricio Jacobo-Romero, Danilo S. Carvalho, André Freitas:
Estimating productivity gains in digital automation. CoRR abs/2210.01252 (2022) - [i53]Danilo S. Carvalho, Giangiacomo Mercatali, Yingji Zhang, André Freitas:
Learning Disentangled Representations for Natural Language Definitions. CoRR abs/2210.02898 (2022) - [i52]Yingji Zhang, Danilo S. Carvalho, Ian Pratt-Hartmann, André Freitas:
Quasi-symbolic explanatory NLI via disentanglement: A geometrical examination. CoRR abs/2210.06230 (2022) - [i51]Danilo S. Carvalho, Edoardo Manino, Julia Rozanova, Lucas C. Cordeiro, André Freitas:
Montague semantics and modifier consistency measurement in neural language models. CoRR abs/2212.04310 (2022) - 2021
- [c95]Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Explainable Inference Over Grounding-Abstract Chains for Science Questions. ACL/IJCNLP (Findings) 2021: 1-12 - [c94]Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Does My Representation Capture X? Probe-Ably. ACL (demo) 2021: 194-201 - [c93]Guy Clarke Marshall, Caroline Jay, André Freitas:
Understanding Scholarly Neural Network System Diagrams Through Application of VisDNA. Diagrams 2021: 387-394 - [c92]Guy Clarke Marshall, Caroline Jay, André Freitas:
Structuralist Analysis for Neural Network System Diagrams. Diagrams 2021: 480-487 - [c91]Guy Clarke Marshall, Caroline Jay, André Freitas:
Number and Quality of Diagrams in Scholarly Publications is Associated with Number of Citations. Diagrams 2021: 512-519 - [c90]Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Unification-based Reconstruction of Multi-hop Explanations for Science Questions. EACL 2021: 200-211 - [c89]Deborah Ferreira, André Freitas:
STAR: Cross-modal [STA]tement [R]epresentation for selecting relevant mathematical premises. EACL 2021: 3234-3243 - [c88]Giangiacomo Mercatali, André Freitas:
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders. EMNLP (Findings) 2021: 3547-3556 - [c87]Mario Ramirez, Alex Bogatu, Norman W. Paton, André Freitas:
Natural Language Inference over Tables: Enabling Explainable Data Exploration on Data Lakes. ESWC 2021: 304-320 - [c86]Alex Bogatu, Norman W. Paton, Mark Douthwaite, Stuart Davie, André Freitas:
Cost-effective Variational Active Entity Resolution. ICDE 2021: 1272-1283 - [c85]Cristian Consonni, Silvia Basile, Matteo Manca, Ludovico Boratto, André Freitas, Tatiana Kovacikova, Ghadir Pourhashem, Yannick Cornet:
What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing. ICWSM 2021: 961-970 - [c84]Mauricio Jacobo-Romero, André Freitas:
Microeconomic foundations of decentralised organisations. SAC 2021: 282-290 - [c83]Macedo Maia, Juliano Efson Sales, André Freitas, Siegfried Handschuh, Markus Endres:
A Comparative Study of Deep Neural Network Models on Multi-Label Text Classification in Finance. ICSC 2021: 183-190 - [i50]Jordan Meadows, André Freitas:
Similarity-Based Equational Inference in Physics. CoRR abs/2103.13496 (2021) - [i49]Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Does My Representation Capture X? Probe-Ably. CoRR abs/2104.05807 (2021) - [i48]Cristian Consonni, Silvia Basile, Matteo Manca, Ludovico Boratto, André Freitas, Tatiana Kovacikova, Ghadir Pourhashem, Yannick Cornet:
What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing. CoRR abs/2104.05809 (2021) - [i47]Guy Clarke Marshall, Caroline Jay, André Freitas:
Structuralist analysis for neural network system diagrams. CoRR abs/2104.14810 (2021) - [i46]Guy Clarke Marshall, Caroline Jay, André Freitas:
Scholarly AI system diagrams as an access point to mental models. CoRR abs/2104.14811 (2021) - [i45]Guy Clarke Marshall, Caroline Jay, André Freitas:
Number and quality of diagrams in scholarly publications is associated with number of citations. CoRR abs/2104.14815 (2021) - [i44]Guy Marshall, Mokanarangan Thayaparan, Philip Osborne, André Freitas:
Switching Contexts: Transportability Measures for NLP. CoRR abs/2105.00823 (2021) - [i43]Marco Valentino, Ian Pratt-Hartmann, André Freitas:
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards. CoRR abs/2105.01974 (2021) - [i42]Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas:
∂-Explainer: Abductive Natural Language Inference via Differentiable Convex Optimization. CoRR abs/2105.03417 (2021) - [i41]Zili Zhou, Marco Valentino, Donal Landers, André Freitas:
Encoding Explanatory Knowledge for Zero-shot Science Question Answering. CoRR abs/2105.05737 (2021) - [i40]Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Supporting Context Monotonicity Abstractions in Neural NLI Models. CoRR abs/2105.08008 (2021) - [i39]Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh:
Context-Preserving Text Simplification. CoRR abs/2105.11178 (2021) - [i38]Oskar Wysocki, Malina Florea, Donal Landers, André Freitas:
Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems. CoRR abs/2107.08124 (2021) - [i37]Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas:
Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference. CoRR abs/2107.11879 (2021) - [i36]Giangiacomo Mercatali, André Freitas:
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders. CoRR abs/2109.07169 (2021) - [i35]Julia Rozanova, Deborah Ferreira, Krishna Dubba, Weiwei Cheng, Dell Zhang, André Freitas:
Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information? CoRR abs/2109.08634 (2021) - [i34]Philip Osborne, Heido Nõmm, André Freitas:
A Survey of Text Games for Reinforcement Learning informed by Natural Language. CoRR abs/2109.09478 (2021) - [i33]Julia Rozanova, Deborah Ferreira, Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Decomposing Natural Logic Inferences in Neural NLI. CoRR abs/2112.08289 (2021) - 2020
- [j9]Susana Bernardino, J. Freitas Santos, José Cadima Ribeiro, André Freitas:
Determinants of the Effective Use of UGC (User-Generated Content) on Hotel Room Bookings by Portuguese Travellers. Int. J. Online Mark. 10(2): 30-43 (2020) - [c82]Deborah Ferreira, André Freitas:
Premise Selection in Natural Language Mathematical Texts. ACL 2020: 7365-7374 - [c81]Tareq Al-Moslmi, Raphaël Troncy, André Freitas, Davide Ceolin, Abdullatif Abolohom:
SKG4J 2020: 1st International Workshop on Semantic and Knowledge Graph Advances for Journalism. CIKM 2020: 3525-3526 - [c80]Juliano Efson Sales, André Freitas, Douglas Oliveira, Adamantios Koumpis, Siegfried Handschuh:
Revisiting Principles and Challenges in Natural Language Programming. JCKBSE 2020: 7-19 - [c79]Deborah Ferreira, André Freitas:
Natural Language Premise Selection: Finding Supporting Statements for Mathematical Text. LREC 2020: 2175-2182 - [c78]Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro:
A Framework for Evaluation of Machine Reading Comprehension Gold Standards. LREC 2020: 5359-5369 - [c77]Juliano Efson Sales, André Freitas, Siegfried Handschuh:
A User-centred Analysis of Explanations for a Multi-component Semantic Parser. NLDB 2020: 37-44 - [c76]Macedo Maia, Vivian Dos Santos Silva, Markus Endres, André Freitas, Siegfried Handschuh:
Attentive recurrent text categorisation models using word-category cross embedding on financial comments. SAC 2020: 1147-1149 - [p3]André Freitas, Seán O'Riain, Edward Curry:
Querying and Searching Heterogeneous Knowledge Graphs in Real-time Linked Dataspaces. Real-time Linked Dataspaces 2020: 105-124 - [i32]Deborah Ferreira, Julia Rozanova, Krishna Dubba, Dell Zhang, André Freitas:
On the Evaluation of Intelligence Process Automation. CoRR abs/2001.02639 (2020) - [i31]Dell Zhang, André Freitas, Dacheng Tao, Dawn Song:
Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20). CoRR abs/2001.05214 (2020) - [i30]Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro:
A Framework for Evaluation of Machine Reading Comprehension Gold Standards. CoRR abs/2003.04642 (2020) - [i29]Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Unification-based Reconstruction of Explanations for Science Questions. CoRR abs/2004.00061 (2020) - [i28]Deborah Ferreira, André Freitas:
Natural Language Premise Selection: Finding Supporting Statements for Mathematical Text. CoRR abs/2004.14959 (2020) - [i27]Oskar Wysocki, Malina Florea, André Freitas:
What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP. CoRR abs/2005.14299 (2020) - [i26]Guy Clarke Marshall, Caroline Jay, André Freitas:
Understanding scholarly Natural Language Processing system diagrams through application of the Richards-Engelhardt framework. CoRR abs/2008.11785 (2020) - [i25]Guy Clarke Marshall, André Freitas, Caroline Jay:
How Researchers Use Diagrams in Communicating Neural Network Systems. CoRR abs/2008.12566 (2020) - [i24]Vivian Dos Santos Silva, André Freitas, Siegfried Handschuh:
XTE: Explainable Text Entailment. CoRR abs/2009.12431 (2020) - [i23]Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Explainable Natural Language Reasoning via Conceptual Unification. CoRR abs/2009.14539 (2020) - [i22]Mokanarangan Thayaparan, Marco Valentino, André Freitas:
A Survey on Explainability in Machine Reading Comprehension. CoRR abs/2010.00389 (2020) - [i21]Mokanarangan Thayaparan, Marco Valentino, André Freitas:
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering. CoRR abs/2010.13128 (2020) - [i20]Alex Bogatu, Norman W. Paton, Mark Douthwaite, Stuart Davie, André Freitas:
Cost-effective Variational Active Entity Resolution. CoRR abs/2011.10406 (2020)
2010 – 2019
- 2019
- [c75]Vivian Dos Santos Silva, André Freitas, Siegfried Handschuh:
Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment. AAAI 2019: 7023-7030 - [c74]Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh:
Transforming Complex Sentences into a Semantic Hierarchy. ACL (1) 2019: 3415-3427 - [c73]Armins Stepanjans, André Freitas:
Identifying and Explaining Discriminative Attributes. EMNLP/IJCNLP (1) 2019: 4312-4321 - [c72]Christina Niklaus, André Freitas, Siegfried Handschuh:
MinWikiSplit: A Sentence Splitting Corpus with Minimal Propositions. INLG 2019: 118-123 - [c71]Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh:
DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German. INLG 2019: 504-507 - [c70]Viktor Schlegel, Benedikt Lang, Siegfried Handschuh, André Freitas:
Vajra: step-by-step programming with natural language. IUI 2019: 30-39 - [c69]Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas:
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. TextGraphs@EMNLP 2019: 42-51 - [c68]Viktor Schlegel, André Freitas:
DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings. TextGraphs@EMNLP 2019: 177-185 - [i19]Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh:
Transforming Complex Sentences into a Semantic Hierarchy. CoRR abs/1906.01038 (2019) - [i18]Vivian Dos Santos Silva, André Freitas, Siegfried Handschuh:
On the Semantic Interpretability of Artificial Intelligence Models. CoRR abs/1907.04105 (2019) - [i17]Armins Stepanjans, André Freitas:
Identifying and Explaining Discriminative Attributes. CoRR abs/1909.05363 (2019) - [i16]Christina Niklaus, André Freitas, Siegfried Handschuh:
MinWikiSplit: A Sentence Splitting Corpus with Minimal Propositions. CoRR abs/1909.12131 (2019) - [i15]Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh:
DisSim: A Discourse-Aware Syntactic Text Simplification Frameworkfor English and German. CoRR abs/1909.12140 (2019) - [i14]Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas:
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. CoRR abs/1910.00290 (2019) - 2018
- [j8]Siamak Barzegar, Brian Davis, Siegfried Handschuh, André Freitas:
Classification of composite semantic relations by a distributional-relational model. Data Knowl. Eng. 117: 319-335 (2018) - [c67]Vivian Dos Santos Silva, Siegfried Handschuh, André Freitas:
Recognizing and Justifying Text Entailment Through Distributional Navigation on Definition Graphs. AAAI 2018: 4913-4920 - [c66]Matthias Cetto, Christina Niklaus, André Freitas, Siegfried Handschuh:
Graphene: a Context-Preserving Open Information Extraction System. COLING (Demos) 2018: 94-98 - [c65]Matthias Cetto, Christina Niklaus, André Freitas, Siegfried Handschuh:
Graphene: Semantically-Linked Propositions in Open Information Extraction. COLING 2018: 2300-2311 - [c64]Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh:
A Survey on Open Information Extraction. COLING 2018: 3866-3878 - [c63]Siamak Barzegar, Brian Davis, Manel Zarrouk, Siegfried Handschuh, André Freitas:
SemR-11: A Multi-Lingual Gold-Standard for Semantic Similarity and Relatedness for Eleven Languages. LREC 2018 - [c62]Thomas Gaillat, Manel Zarrouk, André Freitas, Brian Davis:
The SSIX Corpora: Three Gold Standard Corpora for Sentiment Analysis in English, Spanish and German Financial Microblogs. LREC 2018 - [c61]Juliano Efson Sales, Siamak Barzegar, Wellington Franco, Bernhard Bermeitinger, Tiago Cunha, Brian Davis, André Freitas, Siegfried Handschuh:
A Multilingual Test Collection for the Semantic Search of Entity Categories. LREC 2018 - [c60]Juliano Efson Sales, Leonardo Souza, Siamak Barzegar, Brian Davis, André Freitas, Siegfried Handschuh:
Indra: A Word Embedding and Semantic Relatedness Server. LREC 2018 - [c59]Vivian Dos Santos Silva, André Freitas, Siegfried Handschuh:
Building a Knowledge Graph from Natural Language Definitions for Interpretable Text Entailment Recognition. LREC 2018 - [c58]Juliano Efson Sales, André Freitas, Siegfried Handschuh:
An Open Vocabulary Semantic Parser for End-User Programming Using Natural Language. ICSC 2018: 77-84 - [c57]Siamak Barzegar, Brian Davis, Siegfried Handschuh, André Freitas:
Multilingual Semantic Relatedness Using Lightweight Machine Translation. ICSC 2018: 108-114 - [c56]Macedo Maia, André Freitas, Siegfried Handschuh:
FinSSLx: A Sentiment Analysis Model for the Financial Domain Using Text Simplification. ICSC 2018: 318-319 - [c55]Fabrício Firmino de Faria, Ricardo Usbeck, Alessio Sarullo, Tingting Mu, André Freitas:
Question Answering Mediated by Visual Clues and Knowledge Graphs. WWW (Companion Volume) 2018: 1937-1939 - [c54]Macedo Maia, Siegfried Handschuh, André Freitas, Brian Davis, Ross McDermott, Manel Zarrouk, Alexandra Balahur:
WWW'18 Open Challenge: Financial Opinion Mining and Question Answering. WWW (Companion Volume) 2018: 1941-1942 - [i13]Siamak Barzegar, André Freitas, Siegfried Handschuh, Brian Davis:
Composite Semantic Relation Classification. CoRR abs/1805.06521 (2018) - [i12]André Freitas, Siamak Barzegar, Juliano Efson Sales, Siegfried Handschuh, Brian Davis:
Semantic Relatedness for All (Languages): A Comparative Analysis of Multilingual Semantic Relatedness Using Machine Translation. CoRR abs/1805.06522 (2018) - [i11]Siamak Barzegar, Juliano Efson Sales, André Freitas, Siegfried Handschuh, Brian Davis:
DINFRA: A One Stop Shop for Computing Multilingual Semantic Relatedness. CoRR abs/1805.09644 (2018) - [i10]Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh:
A Survey on Open Information Extraction. CoRR abs/1806.05599 (2018) - [i9]Vivian Dos Santos Silva, André Freitas, Siegfried Handschuh:
Word Tagging with Foundational Ontology Classes: Extending the WordNet-DOLCE Mapping to Verbs. CoRR abs/1806.07699 (2018) - [i8]Vivian Dos Santos Silva, Siegfried Handschuh, André Freitas:
Categorization of Semantic Roles for Dictionary Definitions. CoRR abs/1806.07711 (2018) - [i7]Vivian Dos Santos Silva, Manuela Hürlimann, Brian Davis, Siegfried Handschuh, André Freitas:
Semantic Relation Classification: Task Formalisation and Refinement. CoRR abs/1806.07721 (2018) - [i6]Vivian Dos Santos Silva, André Freitas, Siegfried Handschuh:
Building a Knowledge Graph from Natural Language Definitions for Interpretable Text Entailment Recognition. CoRR abs/1806.07731 (2018) - [i5]Matthias Cetto, Christina Niklaus, André Freitas, Siegfried Handschuh:
Graphene: Semantically-Linked Propositions in Open Information Extraction. CoRR abs/1807.11276 (2018) - [i4]Matthias Cetto, Christina Niklaus, André Freitas, Siegfried Handschuh:
Graphene: A Context-Preserving Open Information Extraction System. CoRR abs/1808.09463 (2018) - [i3]Guy Marshall, André Freitas:
The Diagrammatic AI Language (DIAL): Version 0.1. CoRR abs/1812.11142 (2018) - 2017
- [c53]Bernhard Bermeitinger, Simon Donig, Maria Christoforaki, André Freitas, Siegfried Handschuh:
Object Classification in Images of Neoclassical Artifacts Using Deep Learning. DH 2017 - [c52]Siamak Barzegar, André Freitas, Siegfried Handschuh, Brian Davis:
Composite Semantic Relation Classification. NLDB 2017: 406-417 - [c51]Keith Cortis, André Freitas, Tobias Daudert, Manuela Hürlimann, Manel Zarrouk, Siegfried Handschuh, Brian Davis:
SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News. SemEval@ACL 2017: 519-535 - [c50]Juliano Efson Sales, Siegfried Handschuh, André Freitas:
SemEval-2017 Task 11: End-User Development using Natural Language. SemEval@ACL 2017: 556-564 - [c49]