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2020 – today
- 2024
[c80]Sondre Wold, Étienne Simon, Lucas Georges Gabriel Charpentier, Egor V. Kostylev, Erik Velldal, Lilja Øvrelid:
Compositional Generalization with Grounded Language Models. ACL (Findings) 2024: 3447-3460- [c79]Helene Olsen, Étienne Simon, Erik Velldal, Lilja Øvrelid:
Socio-political Events of Conflict and Unrest: A Survey of Available Datasets. CASE 2024: 40-53 - [c78]Samia Touileb, Jeanett Murstad, Petter Mæhlum, L'ubos Steskal, Lilja Charlotte Storset, Huiling You, Lilja Øvrelid:
EDEN: A Dataset for Event Detection in Norwegian News. LREC/COLING 2024: 5495-5506 - [c77]Mohammad Arif Payenda
, Abdul Razaq Vahidi, Mohammad Ali Hussiny, Andreas Prinz, Lilja Øvrelid:
PashtoEmo: Enhancing Text-Based Emotion Analysis in the Pashto Language Through Dataset Creation. NLDB (2) 2024: 225-236 - [c76]Egil Rønningstad, Roman Klinger, Erik Velldal, Lilja Øvrelid:
Entity-Level Sentiment: More than the Sum of Its Parts. WASSA 2024: 84-96 - [i36]Petter Mæhlum, David Samuel, Rebecka Maria Norman, Elma Jelin, Øyvind Andresen Bjertnæs, Lilja Øvrelid, Erik Velldal:
It's Difficult to be Neutral - Human and LLM-based Sentiment Annotation of Patient Comments. CoRR abs/2404.18832 (2024) - [i35]Sondre Wold, Étienne Simon, Lucas Georges Gabriel Charpentier, Egor V. Kostylev, Erik Velldal, Lilja Øvrelid:
Compositional Generalization with Grounded Language Models. CoRR abs/2406.04989 (2024) - [i34]Egil Rønningstad, Roman Klinger, Erik Velldal, Lilja Øvrelid:
Entity-Level Sentiment: More than the Sum of Its Parts. CoRR abs/2407.03916 (2024) - 2023
- [c75]David Samuel, Lilja Øvrelid:
Tokenization with Factorized Subword Encoding. ACL (Findings) 2023: 14143-14161 - [c74]David Samuel, Andrey Kutuzov, Lilja Øvrelid, Erik Velldal:
Trained on 100 million words and still in shape: BERT meets British National Corpus. EACL (Findings) 2023: 1909-1929 - [c73]Samia Touileb, Lilja Øvrelid, Erik Velldal:
Measuring Normative and Descriptive Biases in Language Models Using Census Data. EACL 2023: 2234-2240 - [c72]Sardana Ivanova, Fredrik Aas Andreassen, Matias Jentoft, Sondre Wold, Lilja Øvrelid:
NorQuAD: Norwegian Question Answering Dataset. NoDaLiDa 2023: 159-168 - [c71]David Samuel, Andrey Kutuzov, Samia Touileb, Erik Velldal, Lilja Øvrelid, Egil Rønningstad, Elina Sigdel, Anna Palatkina:
NorBench - A Benchmark for Norwegian Language Models. NoDaLiDa 2023: 618-633 - [c70]Huiling You, Lilja Øvrelid, Samia Touileb:
JSEEGraph: Joint Structured Event Extraction as Graph Parsing. *SEM@ACL 2023: 115-127 - [c69]Mohammad Ali Hussiny, Lilja Øvrelid:
Emotion Analysis of Tweets Banning Education in Afghanistan. WASSA@ACL 2023: 271-277 - [i33]David Samuel, Andrey Kutuzov, Lilja Øvrelid, Erik Velldal:
Trained on 100 million words and still in shape: BERT meets British National Corpus. CoRR abs/2303.09859 (2023) - [i32]Samia Touileb, Lilja Øvrelid, Erik Velldal:
Measuring Normative and Descriptive Biases in Language Models Using Census Data. CoRR abs/2304.05764 (2023) - [i31]Egil Rønningstad, Erik Velldal, Lilja Øvrelid:
Entity-Level Sentiment Analysis (ELSA): An exploratory task survey. CoRR abs/2304.14241 (2023) - [i30]Sardana Ivanova, Fredrik Aas Andreassen, Matias Jentoft, Sondre Wold, Lilja Øvrelid:
NorQuAD: Norwegian Question Answering Dataset. CoRR abs/2305.01957 (2023) - [i29]David Samuel, Andrey Kutuzov, Samia Touileb, Erik Velldal, Lilja Øvrelid, Egil Rønningstad, Elina Sigdel, Anna Palatkina:
NorBench - A Benchmark for Norwegian Language Models. CoRR abs/2305.03880 (2023) - [i28]Sondre Wold, Lilja Øvrelid, Erik Velldal:
Text-To-KG Alignment: Comparing Current Methods on Classification Tasks. CoRR abs/2306.02871 (2023) - [i27]David Samuel, Lilja Øvrelid:
Tokenization with Factorized Subword Encoding. CoRR abs/2306.07764 (2023) - [i26]Huiling You, Samia Touileb, Lilja Øvrelid:
JSEEGraph: Joint Structured Event Extraction as Graph Parsing. CoRR abs/2306.14633 (2023) - [i25]Mohammad Ali Hussiny, Lilja Øvrelid:
Emotion Analysis of Tweets Banning Education in Afghanistan. CoRR abs/2306.16268 (2023) - [i24]Anthi Papadopoulou, Pierre Lison, Mark Anderson, Lilja Øvrelid, Ildikó Pilán:
Neural Text Sanitization with Privacy Risk Indicators: An Empirical Analysis. CoRR abs/2310.14312 (2023) - 2022
- [j10]Christoph Trattner, Dietmar Jannach, Enrico Motta, Irene Costera Meijer, Nicholas Diakopoulos, Mehdi Elahi, Andreas L. Opdahl, Bjørnar Tessem, Njål Borch, Morten Fjeld, Lilja Øvrelid, Koenraad De Smedt, Hallvard Moe:
Responsible media technology and AI: challenges and research directions. AI Ethics 2(4): 585-594 (2022) - [j9]Ildikó Pilán, Pierre Lison, Lilja Øvrelid, Anthi Papadopoulou, David Sánchez, Montserrat Batet:
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization. Comput. Linguistics 48(4): 1053-1101 (2022) - [j8]Maja Buljan, Joakim Nivre, Stephan Oepen, Lilja Øvrelid:
A tale of four parsers: methodological reflections on diagnostic evaluation and in-depth error analysis for meaning representation parsing. Lang. Resour. Evaluation 56(4): 1075-1102 (2022) - [c68]David Samuel, Jeremy Barnes, Robin Kurtz, Stephan Oepen, Lilja Øvrelid, Erik Velldal:
Direct parsing to sentiment graphs. ACL (2) 2022: 470-478 - [c67]Huiling You, David Samuel, Samia Touileb, Lilja Øvrelid:
EventGraph: Event Extraction as Semantic Graph Parsing. CASE@EMNLP 2022: 7-15 - [c66]Huiling You, David Samuel, Samia Touileb, Lilja Øvrelid:
EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction. CASE@EMNLP 2022: 155-160 - [c65]Egil Rønningstad, Erik Velldal, Lilja Øvrelid:
Entity-Level Sentiment Analysis (ELSA): An Exploratory Task Survey. COLING 2022: 6773-6783 - [c64]Anthi Papadopoulou, Yunhao Yu, Pierre Lison, Lilja Øvrelid:
Neural Text Sanitization with Explicit Measures of Privacy Risk. AACL/IJCNLP (1) 2022: 217-229 - [c63]Anthi Papadopoulou, Pierre Lison, Lilja Øvrelid, Ildikó Pilán:
Bootstrapping Text Anonymization Models with Distant Supervision. LREC 2022: 4477-4487 - [c62]Jeremy Barnes, Laura Oberländer, Enrica Troiano, Andrey Kutuzov, Jan Buchmann, Rodrigo Agerri, Lilja Øvrelid, Erik Velldal:
SemEval 2022 Task 10: Structured Sentiment Analysis. SemEval@NAACL 2022: 1280-1295 - [i23]Ildikó Pilán, Pierre Lison, Lilja Øvrelid, Anthi Papadopoulou, David Sánchez, Montserrat Batet:
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization. CoRR abs/2202.00443 (2022) - [i22]David Samuel, Jeremy Barnes, Robin Kurtz, Stephan Oepen, Lilja Øvrelid, Erik Velldal:
Direct parsing to sentiment graphs. CoRR abs/2203.13209 (2022) - [i21]Anthi Papadopoulou, Pierre Lison, Lilja Øvrelid, Ildikó Pilán:
Bootstrapping Text Anonymization Models with Distant Supervision. CoRR abs/2205.06895 (2022) - [i20]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Contextualized language models for semantic change detection: lessons learned. CoRR abs/2209.00154 (2022) - [i19]Huiling You, David Samuel, Samia Touileb, Lilja Øvrelid:
EventGraph: Event Extraction as Semantic Graph Parsing. CoRR abs/2210.08646 (2022) - [i18]Huiling You, David Samuel, Samia Touileb, Lilja Øvrelid:
EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction. CoRR abs/2210.09770 (2022) - 2021
- [j7]Pål H. Brekke, Taraka Rama, Ildikó Pilán, Øystein Nytrø, Lilja Øvrelid:
Synthetic data for annotation and extraction of family history information from clinical text. J. Biomed. Semant. 12(1): 11 (2021) - [j6]Fredrik A. Dahl, Taraka Rama, Petter Hurlen, Pål H. Brekke, Haldor Husby, Tore Gundersen, Øystein Nytrø, Lilja Øvrelid:
Neural classification of Norwegian radiology reports: using NLP to detect findings in CT-scans of children. BMC Medical Informatics Decis. Mak. 21(1): 84 (2021) - [j5]Jeremy Barnes, Erik Velldal, Lilja Øvrelid:
Improving sentiment analysis with multi-task learning of negation. Nat. Lang. Eng. 27(2): 249-269 (2021) - [c61]Jeremy Barnes, Robin Kurtz, Stephan Oepen, Lilja Øvrelid, Erik Velldal:
Structured Sentiment Analysis as Dependency Graph Parsing. ACL/IJCNLP (1) 2021: 3387-3402 - [c60]Pierre Lison, Ildikó Pilán, David Sánchez, Montserrat Batet, Lilja Øvrelid:
Anonymisation Models for Text Data: State of the art, Challenges and Future Directions. ACL/IJCNLP (1) 2021: 4188-4203 - [c59]Jeremy Barnes, Lilja Øvrelid, Erik Velldal:
If you've got it, flaunt it: Making the most of fine-grained sentiment annotations. EACL 2021: 49-62 - [c58]Andrey Kutuzov, Jeremy Barnes, Erik Velldal, Lilja Øvrelid, Stephan Oepen:
Large-Scale Contextualised Language Modelling for Norwegian. NoDaLiDa 2021: 30-40 - [c57]Petter Mæhlum, Jeremy Barnes, Robin Kurtz, Lilja Øvrelid, Erik Velldal:
Negation in Norwegian: an annotated dataset. NoDaLiDa 2021: 299-308 - [c56]Vinit Ravishankar, Andrey Kutuzov, Lilja Øvrelid, Erik Velldal:
Multilingual ELMo and the Effects of Corpus Sampling. NoDaLiDa 2021: 378-384 - [e1]Simon Dobnik, Lilja Øvrelid:
Proceedings of the 23rd Nordic Conference on Computational Linguistics, NoDaLiDa 2021, Reykjavik, Iceland (Online), May 31 - June 2, 2021. Linköping University Electronic Press, Sweden 2021, ISBN 978-91-7929-614-8 [contents] - [i17]Jeremy Barnes, Lilja Øvrelid, Erik Velldal:
If you've got it, flaunt it: Making the most of fine-grained sentiment annotations. CoRR abs/2102.00299 (2021) - [i16]Andrey Kutuzov, Jeremy Barnes, Erik Velldal, Lilja Øvrelid, Stephan Oepen:
Large-Scale Contextualised Language Modelling for Norwegian. CoRR abs/2104.06546 (2021) - [i15]Jeremy Barnes, Robin Kurtz, Stephan Oepen, Lilja Øvrelid, Erik Velldal:
Structured Sentiment Analysis as Dependency Graph Parsing. CoRR abs/2105.14504 (2021) - 2020
- [c55]Ildikó Pilán, Pål H. Brekke, Fredrik A. Dahl, Tore Gundersen, Haldor Husby, Øystein Nytrø, Lilja Øvrelid:
Classification of Syncope Cases in Norwegian Medical Records. ClinicalNLP@EMNLP 2020: 79-84 - [c54]Ildikó Pilán, Pål H. Brekke, Lilja Øvrelid:
Building a Norwegian Lexical Resource for Medical Entity Recognition. MultiligualBIO@LREC 2020: 9-14 - [c53]Maja Buljan, Joakim Nivre, Stephan Oepen, Lilja Øvrelid:
A Tale of Three Parsers: Towards Diagnostic Evaluation for Meaning Representation Parsing. LREC 2020: 1902-1909 - [c52]Fredrik Jørgensen, Tobias Aasmoe, Anne-Stine Ruud Husevåg, Lilja Øvrelid, Erik Velldal:
NorNE: Annotating Named Entities for Norwegian. LREC 2020: 4547-4556 - [c51]Lilja Øvrelid, Petter Mæhlum, Jeremy Barnes, Erik Velldal:
A Fine-grained Sentiment Dataset for Norwegian. LREC 2020: 5025-5033 - [i14]Jeremy Barnes, Vinit Ravishankar, Lilja Øvrelid, Erik Velldal:
Hierarchical models vs. transfer learning for document-level sentiment classification. CoRR abs/2002.08131 (2020) - [i13]Ildikó Pilán, Pål H. Brekke, Lilja Øvrelid:
Building a Norwegian Lexical Resource for Medical Entity Recognition. CoRR abs/2004.02509 (2020)
2010 – 2019
- 2019
- [c50]Farhad Nooralahzadeh, Jan Tore Lønning, Lilja Øvrelid:
Reinforcement-based denoising of distantly supervised NER with partial annotation. DeepLo@EMNLP-IJCNLP 2019: 225-233 - [c49]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
One-to-X Analogical Reasoning on Word Embeddings: a Case for Diachronic Armed Conflict Prediction from News Texts. LChange@ACL 2019: 196-201 - [c48]Stig Johan Berggren, Taraka Rama, Lilja Øvrelid:
Regression or classification? Automated Essay Scoring for Norwegian. BEA@ACL 2019: 92-102 - [c47]Jeremy Barnes, Lilja Øvrelid, Erik Velldal:
Sentiment Analysis Is Not Solved! Assessing and Probing Sentiment Classification. BlackboxNLP@ACL 2019: 12-23 - [c46]Hugo Lewi Hammer, Michael A. Riegler, Lilja Øvrelid, Erik Velldal:
THREAT: A Large Annotated Corpus for Detection of Violent Threats. CBMI 2019: 1-5 - [c45]Petter Mæhlum, Jeremy Barnes, Lilja Øvrelid, Erik Velldal:
Annotating evaluative sentences for sentiment analysis: a dataset for Norwegian. NODALIDA 2019: 121-130 - [c44]Jeremy Barnes, Samia Touileb, Lilja Øvrelid, Erik Velldal:
Lexicon information in neural sentiment analysis: a multi-task learning approach. NODALIDA 2019: 175-186 - [c43]Vinit Ravishankar, Lilja Øvrelid, Erik Velldal:
Probing Multilingual Sentence Representations With X-Probe. RepL4NLP@ACL 2019: 156-168 - [i12]Vinit Ravishankar, Lilja Øvrelid, Erik Velldal:
Probing Multilingual Sentence Representations With X-Probe. CoRR abs/1906.05061 (2019) - [i11]Jeremy Barnes, Lilja Øvrelid, Erik Velldal:
Sentiment analysis is not solved! Assessing and probing sentiment classification. CoRR abs/1906.05887 (2019) - [i10]Jeremy Barnes, Erik Velldal, Lilja Øvrelid:
Improving Sentiment Analysis with Multi-task Learning of Negation. CoRR abs/1906.07610 (2019) - [i9]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
One-to-X analogical reasoning on word embeddings: a case for diachronic armed conflict prediction from news texts. CoRR abs/1907.12674 (2019) - [i8]Fredrik Jørgensen, Tobias Aasmoe, Anne-Stine Ruud Husevåg, Lilja Øvrelid, Erik Velldal:
NorNE: Annotating Named Entities for Norwegian. CoRR abs/1911.12146 (2019) - [i7]Lilja Øvrelid, Petter Mæhlum, Jeremy Barnes, Erik Velldal:
A Fine-grained Sentiment Dataset for Norwegian. CoRR abs/1911.12722 (2019) - 2018
- [c42]Taraka Rama, Pål H. Brekke, Øystein Nytrø, Lilja Øvrelid:
Iterative development of family history annotation guidelines using a synthetic corpus of clinical text. Louhi@EMNLP 2018: 111-121 - [c41]Gosse Bouma, Jan Hajic, Dag Trygve Truslew Haug, Joakim Nivre, Per Erik Solberg, Lilja Øvrelid:
Expletives in Universal Dependency Treebanks. UDW@EMNLP 2018: 18-26 - [c40]Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, Erik Velldal:
Diachronic word embeddings and semantic shifts: a survey. COLING 2018: 1384-1397 - [c39]Murhaf Fares, Stephan Oepen, Lilja Øvrelid, Jari Björne, Richard Johansson:
The 2018 Shared Task on Extrinsic Parser Evaluation: On the Downstream Utility of English Universal Dependency Parsers. CoNLL Shared Task (2) 2018: 22-33 - [c38]Farhad Nooralahzadeh, Lilja Øvrelid:
SIRIUS-LTG: An Entity Linking Approach to Fact Extraction and Verification. FEVER@EMNLP 2018: 119-123 - [c37]Farhad Nooralahzadeh, Lilja Øvrelid, Jan Tore Lønning:
Evaluation of Domain-specific Word Embeddings using Knowledge Resources. LREC 2018 - [c36]Lilja Øvrelid, Andre Kåsen, Kristin Hagen, Anders Nøklestad, Per Erik Solberg, Janne Bondi Johannessen:
The LIA Treebank of Spoken Norwegian Dialects. LREC 2018 - [c35]Erik Velldal, Lilja Øvrelid, Eivind Alexander Bergem, Cathrine Stadsnes, Samia Touileb, Fredrik Jørgensen:
NoReC: The Norwegian Review Corpus. LREC 2018 - [c34]Cathrine Stadsnes, Lilja Øvrelid, Erik Velldal:
Evaluating Semantic Vectors for Norwegian. NIK 2018 - [c33]Farhad Nooralahzadeh, Lilja Øvrelid, Jan Tore Lønning:
SIRIUS-LTG-UiO at SemEval-2018 Task 7: Convolutional Neural Networks with Shortest Dependency Paths for Semantic Relation Extraction and Classification in Scientific Papers. SemEval@NAACL-HLT 2018: 805-810 - [c32]Lilja Øvrelid:
Downstream use of syntactic analysis: does representation matter? TLT 2018: vi - [i6]Farhad Nooralahzadeh, Lilja Øvrelid, Jan Tore Lønning:
SIRIUS-LTG-UiO at SemEval-2018 Task 7: Convolutional Neural Networks with Shortest Dependency Paths for Semantic Relation Extraction and Classification in Scientific Papers. CoRR abs/1804.08887 (2018) - [i5]Farhad Nooralahzadeh, Lilja Øvrelid:
Syntactic Dependency Representations in Neural Relation Classification. CoRR abs/1805.11461 (2018) - [i4]Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, Erik Velldal:
Diachronic word embeddings and semantic shifts: a survey. CoRR abs/1806.03537 (2018) - 2017
- [c31]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Tracing armed conflicts with diachronic word embedding models. NEWS@ACL 2017: 31-36 - [c30]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants. EMNLP 2017: 1824-1829 - [c29]Erik Velldal, Lilja Øvrelid, Petter Hohle:
Joint UD Parsing of Norwegian Bokmål and Nynorsk. NODALIDA 2017: 1-10 - [c28]Petter Hohle, Lilja Øvrelid, Erik Velldal:
Optimizing a PoS Tagset for Norwegian Dependency Parsing. NODALIDA 2017: 142-151 - [c27]Heidi Sand, Erik Velldal, Lilja Øvrelid:
Wordnet extension via word embeddings: Experiments on the Norwegian Wordnet. NODALIDA 2017: 298-302 - [i3]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants. CoRR abs/1707.08660 (2017) - [i2]Erik Velldal, Lilja Øvrelid, Eivind Alexander Bergem, Cathrine Stadsnes, Samia Touileb, Fredrik Jørgensen:
NoReC: The Norwegian Review Corpus. CoRR abs/1710.05370 (2017) - 2016
- [j4]Angelina Ivanova, Stephan Oepen, Rebecca Dridan, Dan Flickinger, Lilja Øvrelid, Emanuele Lapponi:
On Different Approaches to Syntactic Analysis Into Bi-Lexical Dependencies An Empirical Comparison of Direct, PCFG-Based, and HPSG-Based Parsers. J. Lang. Model. 4(1): 113-144 (2016) - [c26]Stephan Oepen, Jonathon Read, Tatjana Scheffler, Uladzimir Sidarenka, Manfred Stede, Erik Velldal, Lilja Øvrelid:
OPT: Oslo-Potsdam-Teesside. Pipelining Rules, Rankers, and Classifier Ensembles for Shallow Discourse Parsing. CoNLL Shared Task 2016: 20-26 - [c25]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Redefining part-of-speech classes with distributional semantic models. CoNLL 2016: 115-125 - [c24]Lilja Øvrelid, Petter Hohle:
Universal Dependencies for Norwegian. LREC 2016 - [c23]Aksel Wester, Lilja Øvrelid, Erik Velldal, Hugo Lewi Hammer:
Threat detection in online discussions. WASSA@NAACL-HLT 2016: 66-71 - [i1]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Redefining part-of-speech classes with distributional semantic models. CoRR abs/1608.03803 (2016) - 2015
- [c22]Jostein Lien, Erik Velldal, Lilja Øvrelid:
Improving cross-domain dependency parsing with dependency-derived clusters. NODALIDA 2015: 117-126 - 2014
- [c21]Per Erik Solberg, Arne Skjærholt, Lilja Øvrelid, Kristin Hagen, Janne Bondi Johannessen:
The Norwegian Dependency Treebank. LREC 2014: 789-795 - [c20]Hugo Lewi Hammer, Per Erik Solberg, Lilja Øvrelid:
Sentiment classification of online political discussions: a comparison of a word-based and dependency-based method. WASSA@ACL 2014: 90-96 - 2013
- [c19]Angelina Ivanova, Stephan Oepen, Lilja Øvrelid:
Survey on parsing three dependency representations for English. ACL (Student Research Workshop) 2013: 31-37 - [c18]Angelina Ivanova, Stephan Oepen, Rebecca Dridan, Dan Flickinger, Lilja Øvrelid:
On Different Approaches to Syntactic Analysis Into Bi-Lexical Dependencies. An Empirical Comparison of Direct, PCFG-Based, and HPSG-Based Parsers. IWPT 2013: 63-72 - 2012
- [j3]Erik Velldal, Lilja Øvrelid, Jonathon Read, Stephan Oepen:
Speculation and Negation: Rules, Rankers, and the Role of Syntax. Comput. Linguistics 38(2): 369-410 (2012) - [j2]Jonathon Read, Erik Velldal, Lilja Øvrelid:
Topic Classification for Suicidology. J. Comput. Sci. Eng. 6(2): 143-150 (2012) - [c17]Angelina Ivanova, Stephan Oepen, Lilja Øvrelid, Dan Flickinger:
Who Did What to Whom? A Contrastive Study of Syntacto-Semantic Dependencies. LAW@ACL 2012: 2-11 - [c16]Lilja Øvrelid, Arne Skjærholt:
Lexical Categories for Improved Parsing of Web Data. COLING (Posters) 2012: 903-912 - [c15]Emanuele Lapponi, Jonathon Read, Lilja Øvrelid:
Representing and Resolving Negation for Sentiment Analysis. ICDM Workshops 2012: 687-692 - [c14]Jonathon Read, Dan Flickinger, Rebecca Dridan, Stephan Oepen, Lilja Øvrelid:
The WeSearch Corpus, Treebank, and Treecache - A Comprehensive Sample of User-Generated Content. LREC 2012: 1829-1835 - [c13]Jonathon Read, Erik Velldal, Lilja Øvrelid, Stephan Oepen:
UiO1: Constituent-Based Discriminative Ranking for Negation Resolution. *SEM@NAACL-HLT 2012: 310-318 - [c12]Emanuele Lapponi, Erik Velldal, Lilja Øvrelid, Jonathon Read:
UiO 2: Sequence-labeling Negation Using Dependency Features. *SEM@NAACL-HLT 2012: 319-327 - 2010
- [c11]Wolfgang Seeker, Bernd Bohnet, Lilja Øvrelid, Jonas Kuhn:
Informed ways of improving data-driven dependency parsing for German. COLING (Posters) 2010: 1122-1130 - [c10]Lilja Øvrelid, Erik Velldal, Stephan Oepen:
Syntactic Scope Resolution in Uncertainty Analysis. COLING 2010: 1379-1387 - [c9]Erik Velldal, Lilja Øvrelid, Stephan Oepen:
Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules. CoNLL Shared Task 2010: 48-55 - [c8]Gerlof Bouma, Lilja Øvrelid, Jonas Kuhn:
Towards a Large Parallel Corpus of Cleft Constructions. LREC 2010 - [c7]Kathrin Spreyer, Lilja Øvrelid, Jonas Kuhn:
Training Parsers on Partial Trees: A Cross-language Comparison. LREC 2010
2000 – 2009
- 2009
- [j1]Lilja Øvrelid, Jonas Kuhn, Kathrin Spreyer:
Cross-framework parser stacking for data-driven dependency parsing. Trait. Autom. des Langues 50(3): 109-138 (2009) - [c6]Lilja Øvrelid, Jonas Kuhn, Kathrin Spreyer:
Improving data-driven dependency parsing using large-scale LFG grammars. ACL/IJCNLP (2) 2009: 37-40 - [c5]Lilja Øvrelid:
Empirical Evaluations of Animacy Annotation. EACL 2009: 630-638 - [c4]Lilja Øvrelid:
Cross-lingual porting of distributional semantic classification. NODALIDA 2009: 246-249 - 2008
- [c3]Lilja Øvrelid:
Linguistic features in data-driven dependency parsing. CoNLL 2008: 25-32 - [c2]Lilja Øvrelid:
Finite Matters. GoTAL 2008: 500-509 - 2006
- [c1]Lilja Øvrelid:
Towards Robust Animacy Classification Using Morphosyntactic Distributional Features. EACL 2006
Coauthor Index
[c80] [c79] [c76] [i36] [i35] [i34] [c74] [c73] [c71] [i33] [i32] [i31] [i29] [i28] [c68] [c65] [c62] [i22] [i20] [j5] [c61] [c59] [c58] [c57] [c56] [i17] [i16] [i15] [c52] [c51] [i14] [c49] [c47] [c46] [c45] [c44] [c43] [i12] [i11] [i10] [i9] [i8] [i7] [c40] [c35] [c34] [i4] [c31] [c30] [c29] [c28] [c27] [i3] [i2] [c26] [c25] [c23] [i1] [c22] [j3] [j2] [c13] [c12] [c10] [c9]
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load references from crossref.org and opencitations.net
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-10-23 20:34 CEST by the dblp team
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