Anna Rogers

Publikation

Publikationer pr. år 2015 2016 2019 2020 2021 2022 2023 2024 2024

• 29 Konferencebidrag i proceedings
• 6 Antologi
• 4 Andet bidrag
• 3 Tidsskriftartikel
• 5 Mere
  • 3 Konferenceartikel
  • 1 Bog
  • 1 Rapport

Publikationer pr. år

Publikationer pr. år

Søgeresultater

• 2024

  AI ‘News’ Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian

  Puccetti, G., Rogers, A., Alzetta, C., Dell'Orletta, F. & Esuli, A., 2024, I: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). s. 15312–15338

  Publikation: Artikel i tidsskrift og konference artikel i tidsskrift › Konferenceartikel › Forskning › peer review

  Åben adgang

  • Large Language Models 100%
  • Content Farms 100%
  • News Content 100%
  • Case Study 100%
  • Italian 100%

• NarrativeTime: Dense Temporal Annotation on a Timeline

  Rogers, A., Karpinska, M., Gupta, A., Lialin, V., Smelkov, G. & Rumshisky, A., 1 maj 2024, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (red.). Torino, Italia: ELRA and ICCL, s. 12053-12073 21 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  Åben adgang

  Fil

  • Temporal Annotation 100%
  • Annotation 100%
  • English 100%
  • Annotation Guidelines 33%
  • Annotation Framework 33%

• Position: Key Claims in LLM Research Have a Long Tail of Footnotes

  Rogers, A. & Luccioni, A. S., 2024, I: Proceedings of the 41st International Conference on Machine Learning. 235, s. 42647-42665

  Publikation: Artikel i tidsskrift og konference artikel i tidsskrift › Konferenceartikel › Forskning › peer review

  Åben adgang

  • Footnotes 100%
  • Large Language Models 100%
  • Model Research 100%
  • Long Tail 100%
  • Discourse 100%

• Proceedings of the Fifth Workshop on Insights from Negative Results in NLP

  Tafreshi, S. (Redaktør), Akula, A. (Redaktør), Sedoc, J. (Redaktør), Drozd, A. (Redaktør), Rogers, A. (Redaktør) & Rumshisky, A. (Redaktør), 1 jun. 2024, Mexico City, Mexico: Association for Computational Linguistics.

  Publikation: Bog / Antologi / Rapport / Ph.D.-afhandling › Antologi › Forskning › peer review

  Åben adgang

• Using sequences of life-events to predict human lives

  Savcisens, G., Eliassi-Rad, T., Hansen, L. K., Mortensen, L. H., Lilleholt, L., Rogers, A., Zettler, I. & Lehmann, S., 2024, I: Nature Computational Science. 4, s. 43–56 14 s.

  Publikation: Artikel i tidsskrift og konference artikel i tidsskrift › Tidsskriftartikel › Forskning › peer review

  Åben adgang

  • Human Life 100%
  • Life Events 100%
  • Natural Language Processing 100%
  • Deep Learning Model 100%
  • Potential Mechanism 100%

• What Can Natural Language Processing Do for Peer Review?

  Kuznetsov, I., Afzal, O. M., Dercksen, K., Dycke, N., Goldberg, A., Hope, T., Hovy, D., Kummerfeld, J. K., Lauscher, A., Leyton-Brown, K., Lu, S., Mausam, Mieskes, M., Névéol, A., Pruthi, D., Qu, L., Schwartz, R., Smith, N. A., Solorio, T. & Wang, J. & 4 flere, Zhu, X., Rogers, A., Shah, N. B. & Gurevych, I., 2024, 43 s.

  Publikation: Andet › Andet bidrag › Forskning

  Åben adgang

  • Natural Language Processing 100%
  • Peer Review 100%
  • Artificial Intelligence 100%
  • NLP. 80%
  • Quality Control 66%
• 2023

  Findings of the Association for Computational Linguistics: ACL 2023

  Rogers, A. (Redaktør), Boyd-Graber, J. (Redaktør) & Okazaki, N. (Redaktør), 1 jul. 2023, Toronto, Canada: Association for Computational Linguistics.

  Publikation: Bog / Antologi / Rapport / Ph.D.-afhandling › Antologi › Forskning › peer review

  Åben adgang

• Mind Your Language (Model): Fact-Checking LLMs and Their Role in NLP Research and Practice

  Luccioni, A. S. & Rogers, A., 1 aug. 2023, arXiv.

  Publikation: Andet › Andet bidrag › Forskning

  Åben adgang

  • Language Model 100%
  • Large Language Models 100%
  • NLP. 100%
  • Language Modeling 100%
  • Natural Language Processing 100%

• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

  Rogers, A. (Redaktør), Boyd-Graber, J. (Redaktør) & Okazaki, N. (Redaktør), 1 jul. 2023, Toronto, Canada: Association for Computational Linguistics.

  Publikation: Bog / Antologi / Rapport / Ph.D.-afhandling › Antologi › Forskning › peer review

  Åben adgang

• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

  Rogers, A. (Redaktør), Boyd-Graber, J. (Redaktør) & Okazaki, N. (Redaktør), 1 jul. 2023, Toronto, Canada: Association for Computational Linguistics.

  Publikation: Bog / Antologi / Rapport / Ph.D.-afhandling › Antologi › Forskning › peer review

  Åben adgang

• Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)

  Can, B. (Redaktør), Mozes, M. (Redaktør), Cahyawijaya, S. (Redaktør), Saphra, N. (Redaktør), Kassner, N. (Redaktør), Ravfogel, S. (Redaktør), Ravichander, A. (Redaktør), Zhao, C. (Redaktør), Augenstein, I. (Redaktør), Rogers, A. (Redaktør), Cho, K. (Redaktør), Grefenstette, E. (Redaktør) & Voita, L. (Redaktør), 1 jul. 2023, Toronto, Canada: Association for Computational Linguistics.

  Publikation: Bog / Antologi / Rapport / Ph.D.-afhandling › Antologi › Forskning › peer review

  Åben adgang

• Program Chairs' Report on Peer Review at ACL 2023

  Rogers, A., Karpinska, M., Boyd-Graber, J. & Okazaki, N., 1 jul. 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Toronto, Canada: Association for Computational Linguistics, s. xl-lxxv

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning

  Åben adgang

  • Program Chairs 100%
  • Peer Review 100%
  • Decision Making 100%
  • NLP. 50%
  • Decision Support 25%

• The Fourth Workshop on Insights from Negative Results in NLP

  Tafreshi, S. (Redaktør), Akula, A. (Redaktør), Sedoc, J. (Redaktør), Drozd, A. (Redaktør), Rogers, A. (Redaktør) & Rumshisky, A. (Redaktør), 1 maj 2023, Dubrovnik, Croatia: Association for Computational Linguistics.

  Publikation: Bog / Antologi / Rapport / Ph.D.-afhandling › Antologi › Forskning › peer review

  Åben adgang

• The ROOTS Search Tool: Data Transparency for LLMs

  Piktus, A., Akiki, C., Villegas, P., Laurençon, H., Dupont, G., Luccioni, S., Jernite, Y. & Rogers, A., 1 jul. 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations). Toronto, Canada: Association for Computational Linguistics, s. 304-314 11 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  Åben adgang

  • Search Tools 100%
  • Data Transparency 100%
  • Tool Data 100%
  • Large Language Model 100%
  • Use Case 50%
• 2022

  BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

  BigScience, 1 dec. 2022, arXiv.

  Publikation: Andet › Andet bidrag › Forskning

  Åben adgang

  • Language Modeling 100%
  • Open Access 100%
  • Large Language Model 100%
  • Large Language Models 100%
  • Artificial Intelligence 33%

• Data Governance in the Age of Large-Scale Data-Driven Language Technology

  Jernite, Y., Nguyen, H., Biderman, S., Rogers, A., Masoud, M., Danchev, V., Tan, S., Luccioni, A. S., Subramani, N., Johnson, I., Dupont, G., Dodge, J., Lo, K., Talat, Z., Radev, D., Gokaslan, A., Nikpoor, S., Henderson, P., Bommasani, R. & Mitchell, M., 1 jun. 2022, 2022 ACM Conference on Fairness, Accountability, and Transparency. New York, NY, USA: Association for Computing Machinery, s. 2206-2222 17 s. (FAccT '22).

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Large Scale Data 100%
  • Data Governance 100%
  • Data Management 100%
  • Large Language Model 100%
  • Research Collaboration 50%

• Machine Reading, Fast and Slow: When Do Models 'Understand' Language?

  Ray Choudhury, S., Rogers, A. & Augenstein, I., 2022, Proceedings of the 29th International Conference on Computational Linguistics. Gyeongju, Republic of Korea, s. 78-93 16 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Natural Language Understanding 100%
  • Machine Reading 100%
  • Reading Comprehension 100%
  • Linguistic Competence 50%
  • Encoder 50%

• NarrativeTime: Dense Temporal Annotation on a Timeline

  Rogers, A., Karpinska, M., Gupta, A., Lialin, V., Smelkov, G. & Rumshisky, A., 22 dec. 2022

  Publikation: Andet › Andet bidrag › Forskning

  • Temporal Annotation 100%
  • Annotation 100%
  • Annotation Guidelines 33%
  • Annotation Framework 33%
  • Annotator 33%

• Outliers Dimensions that Disrupt Transformers Are Driven by Frequency

  Puccetti, G., Rogers, A., Drozd, A. & Dell'Orletta, F., 2022, Findings of EMNLP 2022. Association for Computational Linguistics

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Transformer 100%
  • Token Frequency 100%
  • Anisotropic Behavior 100%
  • Outlier 100%
  • Model Performance 50%

• QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension

  Rogers, A., Gardner, M. & Augenstein, I., 1 aug. 2022, I: ACM CSUR.

  Publikation: Artikel i tidsskrift og konference artikel i tidsskrift › Tidsskriftartikel › Forskning › peer review

  • NLP Resources 100%
  • QA Dataset 100%
  • Practitioners 100%
  • Learning Model 100%
  • Language Resources 33%

• The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

  BigScience, Laurençon, H., Saulnier, L., Wang, T., Akiki, C., Villanova del Moral, A., Le Scao, T., von Werra, L., Mou, C., González Ponferrada, E., Nguyen, H., Frohberg, J., Šaško, M., Lhoest, Q., Mcmillan-Major, A., Dupont, G., Biderman, S., Rogers, A., Ben Allal, L. & de Toni, F. & 31 flere, Pistilli, G., Nguyen, O., Nikpoor, S., Masoud, M., Colombo, P., de la Rosa, J., Villegas, P., Thrush, T., Longpre, S., Nagel, S., Weber, L., Romero Muñoz, M., Zhu, J., van Strien, D., Alyafeai, Z., Almubarak, K., Chien, V. M., Gonzalez-Dios, I., Soroa, A., Lo, K., Dey, M., Ortiz Suarez, P., Gokaslan, A., Bose, S., Adelani, D. I., Phan, L., Tran, H., Yu, I., Pai, S., Chim, J. & Lepercq, V., 1 nov. 2022, Thirty-Sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track. New Orleans, United States

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  Åben adgang

  • Open Collaboration 100%
  • Open Science 100%
  • Hope 100%
  • Language Modeling 66%
  • Ethics 33%

• What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review

  Thorn Jakobsen, T. & Rogers, A., 1 jul. 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Seattle, United States: Association for Computational Linguistics, s. 4810-4823 14 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Peer Review 100%
  • Paper-reviewer Assignment 100%
  • Community Perspectives 100%
  • Scientific Progress 100%
  • Natural Language Processing 66%
• 2021

  BERT Busters: Outlier Dimensions That Disrupt Transformers

  Kovaleva, O., Kulshreshtha, S., Rogers, A. & Rumshisky, A., 1 aug. 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Online: Association for Computational Linguistics, s. 3392-3405 14 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Transformer 100%
  • Bidirectional Encoder Representations From Transformers 100%
  • Outlier 100%
  • Output Layer 100%
  • Number of Features 50%

• Changing the World by Changing the Data

  Rogers, A., 1 aug. 2021, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Online: Association for Computational Linguistics, s. 2182-2194 13 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Data Curation 100%
  • Training Data 100%
  • Position Paper 100%
  • Curation 100%
  • Paper Map 100%

• Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics

  Bhargava, P., Drozd, A. & Rogers, A., 1 nov. 2021, Proceedings of the Second Workshop on Insights from Negative Results in NLP. Online and Punta Cana, Dominican Republic: Association for Computational Linguistics, s. 125-135 11 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Transformer-based Models 100%
  • Model Size 100%
  • Transformer 100%
  • Debiasing 100%
  • Siamese 100%

• Just What Do You Think You're Doing, Dave? A Checklist for Responsible Data Use in NLP

  Rogers, A., Baldwin, T. & Leins, K., 1 nov. 2021, Findings of the Association for Computational Linguistics: EMNLP 2021. Punta Cana, Dominican Republic: Association for Computational Linguistics, s. 4821-4833 13 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Data Reuse 100%
  • Data in Use 100%
  • Natural Language Processing 100%
  • Reuse 66%
  • Ethics 50%

• On the Interaction of Belief Bias and Explanations

  González, A. V., Rogers, A. & Søgaard, A., 1 aug. 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Online: Association for Computational Linguistics, s. 2930-2942 13 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Belief Bias 100%
  • Human Performance 100%
  • Explainability 50%
  • Human Evaluation 50%
  • High Performance 25%
• 2020

  A Primer in BERTology: What We Know About How BERT Works

  Rogers, A., Kovaleva, O. & Rumshisky, A., 1 dec. 2020, I: Transactions of the Association for Computational Linguistics. 8, s. 842-866 25 s.

  Publikation: Artikel i tidsskrift og konference artikel i tidsskrift › Tidsskriftartikel › Forskning › peer review

  • BERT Model 100%
  • Transformer Model 100%
  • Knowledge Level 100%
  • Training Objectives 100%
  • Popular 100%

• Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks

  Rogers, A., Kovaleva, O., Downey, M. & Rumshisky, A., 2020, Proceedings of the AAAI Conference on Artificial Intelligence. s. 11 1 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Question Answering 100%
  • AI-Complete 100%
  • Choice Question 100%
  • World Knowledge 100%
  • Reasoning Strategy 100%

• What Can We Do to Improve Peer Review in NLP?

  Rogers, A. & Augenstein, I., 1 nov. 2020, Findings of EMNLP. Online: Association for Computational Linguistics, s. 1256-1262 7 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Peer Review 100%
  • Face 100%
  • Orange 100%
  • Incentives 100%
  • Apple 50%

• When BERT Plays the Lottery, All Tickets Are Winning

  Prasanna, S., Rogers, A. & Rumshisky, A., 1 nov. 2020, Proceedings of EMNLP. Online: Association for Computational Linguistics, s. 3208-3229 22 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Pre-trained BERT 100%
  • Transformer-based Models 100%
  • Lottery 100%
  • Self-attention 100%
  • Full Model 100%
• 2019

  Adversarial Decomposition of Text Representation

  Romanov, A., Rumshisky, A., Rogers, A. & Donahue, D., 1 jun. 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). s. 815-825 11 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Text Representation 100%
  • Case Study 100%
  • Categorical Representation 100%
  • Motivational Training 50%
  • Downstream Task 50%

• Calls to Action on Social Media: Potential for Censorship and Social Impact

  Rogers, A., Kovaleva, O. & Rumshisky, A., 2019, EMNLP-IJCNLP 2019 Second Workshop on Natural Language Processing for Internet Freedom.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Social Media 100%
  • Social Impact 100%
  • Call to Action 100%
  • Automatic Detection 50%
  • Positive Correlation 50%

• Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for NLP

  Rogers, A., Drozd, A., Rumshisky, A. & Goldberg, Y., 2019

  Publikation: Bog / Antologi / Rapport / Ph.D.-afhandling › Bog › Forskning › peer review

• Revealing the Dark Secrets of BERT

  Kovaleva, O., Romanov, A., Rogers, A. & Rumshisky, A., 2019, Proceedings of EMNLP-IJCNLP). Hong Kong, China: Association for Computational Linguistics, s. 4356-4365 10 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Attention Patterns 100%
  • Bidirectional Encoder Representations From Transformers 100%
  • Performance Art 100%
  • Handcrafted Features 50%
  • Performance Improvement 50%
• 2018

  RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian

  Rogers, A., Romanov, A., Rumshisky, A., Volkova, S., Gronas, M. & Gribov, A., 2018, Proceedings of the 27th International Conference on Computational Linguistics. Santa Fe, New Mexico, USA: Association for Computational Linguistics, s. 755-763 9 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Annotation 100%
  • Sentiment Analysis 100%
  • Opinion Mining 100%
  • Active Learning 50%
  • Learning Style 50%

• Subcharacter Information in Japanese Embeddings: When Is It Worth It?

  Karpinska, M., Li, B., Rogers, A. & Drozd, A., 2018, Proceedings of the Workshop on the Relevance of Linguistic Structure in Neural Architectures for NLP. Melbourne, Australia: Association for Computational Linguistics, s. 28-37 10 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Sub-character 100%
  • Chinese 100%
  • Writing Systems 100%
  • Logographic Writing System 50%
  • Character Model 50%

• What's in Your Embedding, And How It Predicts Task Performance

  Rogers, A., Hosur Ananthakrishna, S. & Rumshisky, A., 2018, Proceedings of the 27th International Conference on Computational Linguistics. Santa Fe, New Mexico, USA, August 20-26, 2018: Association for Computational Linguistics, s. 2690-2703 14 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Parameter Search 100%
  • Morphological Forms 100%
  • Hypothesis-driven Approach 100%
  • Distributional Semantics 100%
  • Evaluation Parameters 100%
• 2017

  Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings

  Li, B., Liu, T., Zhao, Z., Tang, B., Drozd, A., Rogers, A. & Du, X., 2017, Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Copenhagen, Denmark, September 71, 2017, s. 2411-2421 11 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Type Representation 100%
  • Syntactic Context 100%
  • Learning Words 100%
  • Syntactics 100%
  • Word Embedding 100%

• Multilingual Computational Lexicography: Frame Semantics Meets Distributional Semantics

  Rogers, A., 2017, Tokyo: University of Tokyo.

  Publikation: Bog / Antologi / Rapport / Ph.D.-afhandling › Rapport › Forskning

• The (Too Many) Problems of Analogical Reasoning with Word Vectors

  Rogers, A., Drozd, A. & Li, B., 2017, Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (* SEM 2017). s. 135-148 14 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Vector Space Model 100%
  • Analogical Reasoning 100%
  • Queen 100%
  • Word Vector 100%
  • Two-pair 50%
• 2016

  Analogy-Based Detection of Morphological and Semantic Relations with Word Embeddings: What Works and What Doesn't.

  Gladkova, A., Drozd, A. & Matsuoka, S., 2016, Proceedings of the NAACL Student Research Workshop. San Diego, California, June 12-17, 2016: Association for Computational Linguistics, s. 47-54 8 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

• Intrinsic Evaluations of Word Embeddings: What Can We Do Better?

  Gladkova, A. & Drozd, A., 2016, Proceedings of The 1st Workshop on Evaluating Vector Space Representations for NLP. Berlin, Germany, August 12, 2016: Association for Computational Linguistics, s. 36-42 7 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

• The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations

  Santus, E., Gladkova, A., Evert, S. & Lenci, A., 2016, Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex-V). Osaka, Japan, December 11-17: Association for Computational Linguistics, s. 69-79 11 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning

• Word Embeddings, Analogies, and Machine Learning: Beyond King - Man + Woman = Queen

  Drozd, A., Gladkova, A. & Matsuoka, S., 2016, Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers. Osaka, Japan, December 11-17, s. 3519-3530 12 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review
• 2015

  Discovering Aspectual Classes of Russian Verbs in Untagged Large Corpora

  Drozd, A., Gladkova, A. & Matsuoka, S., 2015, Proceedings of 2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS). s. 61-68 8 s.

  Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

  • Large Corpora 100%
  • Russian Verb 100%
  • Aspectual Classes 100%
  • Natural Language Processing 100%
  • Performance Bottleneck 100%

• Python, Performance, and Natural Language Processing

  Drozd, A., Gladkova, A. & Matsuoka, S., 2015, I: PyHPC '15. s. 1:1-1:10

  Publikation: Artikel i tidsskrift og konference artikel i tidsskrift › Konferenceartikel › Forskning › peer review

  • Natural Language Processing 100%
  • Python Language 100%
  • Sparse Matrix 100%
  • Space Model 100%
  • Vector Space 100%