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ORCIDDietrich Klakow
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- affiliation: Saarland University, Saarbrücken, Germany
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2020 – today
- 2023
[c213]Cheikh M. Bamba Dione, David Ifeoluwa Adelani, Peter Nabende, Jesujoba O. Alabi, Thapelo Sindane, Happy Buzaaba, Shamsuddeen Hassan Muhammad, Chris Chinenye Emezue, Perez Ogayo, Aremu Anuoluwapo, Catherine Gitau, Derguene Mbaye, Jonathan Mukiibi, Blessing K. Sibanda, Bonaventure F. P. Dossou, Andiswa Bukula, Rooweither Mabuya, Allahsera Auguste Tapo, Edwin Munkoh-Buabeng, Victoire Memdjokam Koagne, Fatoumata Ouoba Kabore, Amelia V. Taylor, Godson Kalipe, Tebogo Macucwa, Vukosi Marivate, Tajuddeen Gwadabe, Elvis Mboning Tchiaze, Ikechukwu E. Onyenwe, Gratien Atindogbe, Tolulope Anu Adelani, Idris Akinade, Samuel Olanrewaju, Marien Nahimana, Théogène Musabeyezu, Emile Niyomutabazi, Ester Chimhenga, Kudzai Gotosa, Patrick Mizha, Apelete Agbolo, Seydou Traore, Chinedu Uchechukwu, Aliyu Yusuf, Muhammad Abdullahi, Dietrich Klakow:
MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African languages. ACL (1) 2023: 10883-10900- [c212]Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, Dietrich Klakow, Yanai Elazar:
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation. ACL (Findings) 2023: 12284-12314 - [c211]Dawei Zhu, Xiaoyu Shen, Marius Mosbach, Andreas Stephan, Dietrich Klakow:
Weaker Than You Think: A Critical Look at Weakly Supervised Learning. ACL (1) 2023: 14229-14253 - [c210]Idris Akinade, Jesujoba Oluwadara Alabi, David Ifeoluwa Adelani, Clement Odoje, Dietrich Klakow:
ε kú : Integrating YorùBá Cultural greetings into Machine Translation. AfricaNLP 2023 - [c209]Dawei Zhu, Xiaoyu Shen, Michael A. Hedderich, Dietrich Klakow:
Meta Self-Refinement for Robust Learning with Weak Supervision. EACL 2023: 1043-1058 - [c208]Lukas Lange, Jannik Strötgen, Heike Adel, Dietrich Klakow:
Multilingual Normalization of Temporal Expressions with Masked Language Models. EACL 2023: 1166-1178 - [i77]Badr M. Abdullah, Dietrich Klakow:
Analyzing the Representational Geometry of Acoustic Word Embeddings. CoRR abs/2301.03012 (2023) - [i76]Idris Akinade, Jesujoba O. Alabi, David Ifeoluwa Adelani, Clement Odoje, Dietrich Klakow:
E KÚ [MASK]: Integrating Yorùbá cultural greetings into machine translation. CoRR abs/2303.17972 (2023) - [i75]Cheikh M. Bamba Dione, David Ifeoluwa Adelani, Peter Nabende, Jesujoba O. Alabi, Thapelo Sindane, Happy Buzaaba, Shamsuddeen Hassan Muhammad, Chris Chinenye Emezue, Perez Ogayo, Aremu Anuoluwapo, Catherine Gitau, Derguene Mbaye, Jonathan Mukiibi, Blessing K. Sibanda, Bonaventure F. P. Dossou, Andiswa Bukula, Rooweither Mabuya, Allahsera Auguste Tapo, Edwin Munkoh-Buabeng, Victoire Memdjokam Koagne, Fatoumata Ouoba Kabore, Amelia V. Taylor, Godson Kalipe, Tebogo Macucwa, Vukosi Marivate, Tajuddeen Gwadabe, Elvis Mboning Tchiaze, Ikechukwu E. Onyenwe, Gratien Atindogbe, Tolulope Anu Adelani, Idris Akinade, Samuel Olanrewaju, Marien Nahimana, Théogène Musabeyezu, Emile Niyomutabazi, Ester Chimhenga, Kudzai Gotosa, Patrick Mizha, Apelete Agbolo, Seydou Traore, Chinedu Uchechukwu, Aliyu Yusuf, Muhammad Abdullahi, Dietrich Klakow:
MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African Languages. CoRR abs/2305.13989 (2023) - [i74]Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, Dietrich Klakow, Yanai Elazar:
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation. CoRR abs/2305.16938 (2023) - [i73]Dawei Zhu, Xiaoyu Shen, Marius Mosbach, Andreas Stephan, Dietrich Klakow:
Weaker Than You Think: A Critical Look atWeakly Supervised Learning. CoRR abs/2305.17442 (2023) - [i72]Badr M. Abdullah, Mohammed Maqsood Shaik, Bernd Möbius, Dietrich Klakow:
An Information-Theoretic Analysis of Self-supervised Discrete Representations of Speech. CoRR abs/2306.02405 (2023) - [i71]Aravind Krishnan, Jesujoba O. Alabi, Dietrich Klakow:
On the N-gram Approximation of Pre-trained Language Models. CoRR abs/2306.06892 (2023) - [i70]Julius Steuer, Badr Abdullah, Johann-Mattis List
, Dietrich Klakow:
Information-Theoretic Characterization of Vowel Harmony: A Cross-Linguistic Study on Word Lists. CoRR abs/2308.04885 (2023) - 2022
- [j14]Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain. Bioinform. 38(12): 3267-3274 (2022) - [j13]Tejaswani Verma, Christoph Lingenfelder, Dietrich Klakow:
Explaining Black-box Predictions by Generating Local Meaningful Perturbations. Int. J. Semantic Comput. 16(1): 47-68 (2022) - [c207]Boris Wiegand, Dietrich Klakow, Jilles Vreeken:
Discovering Interpretable Data-to-Sequence Generators. AAAI 2022: 4237-4244 - [c206]Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow:
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification. Insights@ACL 2022: 62-67 - [c205]Badr Abdullah, Dietrich Klakow:
Analyzing the Representational Geometry of Acoustic Word Embeddings. BlackboxNLP@EMNLP 2022: 178-191 - [c204]Jesujoba O. Alabi, David Ifeoluwa Adelani, Marius Mosbach, Dietrich Klakow:
Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning. COLING 2022: 4336-4349 - [c203]David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, Shruti Rijhwani, Michael Beukman, Chester Palen-Michel, Constantine Lignos, Jesujoba O. Alabi, Shamsuddeen Hassan Muhammad, Peter Nabende, Cheikh M. Bamba Dione, Andiswa Bukula, Rooweither Mabuya, Bonaventure F. P. Dossou, Blessing K. Sibanda, Happy Buzaaba, Jonathan Mukiibi, Godson Kalipe, Derguene Mbaye, Amelia V. Taylor, Fatoumata Ouoba Kabore, Chris Chinenye Emezue, Aremu Anuoluwapo, Perez Ogayo, Catherine Gitau, Edwin Munkoh-Buabeng, Victoire Memdjokam Koagne, Allahsera Auguste Tapo, Tebogo Macucwa, Vukosi Marivate, Elvis Mboning, Tajuddeen Gwadabe, Tosin P. Adewumi, Orevaoghene Ahia, Joyce Nakatumba-Nabende, Neo L. Mokono, Ignatius Ezeani, Chiamaka Chukwuneke, Mofetoluwa Adeyemi, Gilles Hacheme, Idris Abdulmumin, Odunayo Ogundepo, Oreen Yousuf, Tatiana Moteu Ngoli, Dietrich Klakow:
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition. EMNLP 2022: 4488-4508 - [c202]Alexander Blatt, Martin Kocour, Karel Veselý, Igor Szöke, Dietrich Klakow:
Call-Sign Recognition and Understanding for Noisy Air-Traffic Transcripts Using Surveillance Information. ICASSP 2022: 8357-8361 - [c201]Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken:
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors. ICML 2022: 8691-8707 - [c200]Badr M. Abdullah, Bernd Möbius, Dietrich Klakow:
Integrating Form and Meaning: A Multi-Task Learning Model for Acoustic Word Embeddings. INTERSPEECH 2022: 1876-1880 - [c199]Dana Ruiter, Liane Reiners, Ashwin Geet D'Sa, Thomas Kleinbauer, Dominique Fohr, Irina Illina, Dietrich Klakow, Christian Schemer, Angeliki Monnier:
Placing M-Phasis on the Plurality of Hate: A Feature-Based Corpus of Hate Online. LREC 2022: 791-804 - [c198]M. A. Tugtekin Turan, Dietrich Klakow, Emmanuel Vincent, Denis Jouvet:
Adapting Language Models When Training on Privacy-Transformed Data. LREC 2022: 4367-4373 - [c197]Irina Stenger, Philip Georgis, Tania Avgustinova, Bernd Möbius, Dietrich Klakow:
Modeling the Impact of Syntactic Distance and Surprisal on Cross-Slavic Text Comprehension. LREC 2022: 7368-7376 - [c196]David Ifeoluwa Adelani, Jesujoba O. Alabi, Angela Fan, Julia Kreutzer, Xiaoyu Shen, Machel Reid, Dana Ruiter, Dietrich Klakow, Peter Nabende, Ernie Chang, Tajuddeen Gwadabe, Freshia Sackey, Bonaventure F. P. Dossou, Chris Emezue, Colin Leong, Michael Beukman, Shamsuddeen Hassan Muhammad, Guyo Dub Jarso, Oreen Yousuf, Andre Niyongabo Rubungo, Gilles Hacheme, Eric Peter Wairagala, Muhammad Umair Nasir, Benjamin Ajibade, Tunde Ajayi, Yvonne Wambui Gitau, Jade Z. Abbott, Mohamed Ahmed, Millicent Ochieng, Aremu Anuoluwapo, Perez Ogayo, Jonathan Mukiibi, Fatoumata Ouoba Kabore, Godson Kalipe, Derguene Mbaye, Allahsera Auguste Tapo, Victoire Memdjokam Koagne, Edwin Munkoh-Buabeng, Valencia Wagner, Idris Abdulmumin, Ayodele Awokoya, Happy Buzaaba, Blessing K. Sibanda, Andiswa Bukula, Sam Manthalu:
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation. NAACL-HLT 2022: 3053-3070 - [c195]Miaoran Zhang, Marius Mosbach, David Ifeoluwa Adelani, Michael A. Hedderich, Dietrich Klakow:
MCSE: Multimodal Contrastive Learning of Sentence Embeddings. NAACL-HLT 2022: 5959-5969 - [c194]Anupama Chingacham, Vera Demberg, Dietrich Klakow:
A Data-Driven Investigation of Noise-Adaptive Utterance Generation with Linguistic Modification. SLT 2022: 353-360 - [c193]Ali Davody, David Ifeoluwa Adelani, Thomas Kleinbauer, Dietrich Klakow:
TOKEN Is a MASK: Few-shot Named Entity Recognition with Pre-trained Language Models. TSD 2022: 138-150 - [i69]Vilém Zouhar, Marius Mosbach, Debanjali Biswas, Dietrich Klakow:
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access. CoRR abs/2201.09651 (2022) - [i68]Vilém Zouhar, Marius Mosbach, Miaoran Zhang, Dietrich Klakow:
Knowledge Base Index Compression via Dimensionality and Precision Reduction. CoRR abs/2204.02906 (2022) - [i67]Alexander Blatt, Martin Kocour, Karel Veselý, Igor Szöke, Dietrich Klakow:
Call-sign recognition and understanding for noisy air-traffic transcripts using surveillance information. CoRR abs/2204.06309 (2022) - [i66]Jesujoba O. Alabi, David Ifeoluwa Adelani, Marius Mosbach, Dietrich Klakow:
Multilingual Language Model Adaptive Fine-Tuning: A Study on African Languages. CoRR abs/2204.06487 (2022) - [i65]Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow:
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification. CoRR abs/2204.09371 (2022) - [i64]Miaoran Zhang, Marius Mosbach, David Ifeoluwa Adelani, Michael A. Hedderich, Dietrich Klakow:
MCSE: Multimodal Contrastive Learning of Sentence Embeddings. CoRR abs/2204.10931 (2022) - [i63]Dana Ruiter, Liane Reiners, Ashwin Geet D'Sa, Thomas Kleinbauer, Dominique Fohr, Irina Illina, Dietrich Klakow, Christian Schemer, Angeliki Monnier:
Placing M-Phasis on the Plurality of Hate: A Feature-Based Corpus of Hate Online. CoRR abs/2204.13400 (2022) - [i62]David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, Julia Kreutzer, Xiaoyu Shen, Machel Reid, Dana Ruiter, Dietrich Klakow, Peter Nabende, Ernie Chang, Tajuddeen Gwadabe, Freshia Sackey, Bonaventure F. P. Dossou, Chris Chinenye Emezue, Colin Leong, Michael Beukman, Shamsuddeen Hassan Muhammad, Guyo Dub Jarso, Oreen Yousuf, Andre Niyongabo Rubungo, Gilles Hacheme, Eric Peter Wairagala, Muhammad Umair Nasir, Benjamin Ayoade Ajibade, Tunde Oluwaseyi Ajayi, Yvonne Wambui Gitau, Jade Z. Abbott, Mohamed Ahmed, Millicent Ochieng, Aremu Anuoluwapo, Perez Ogayo, Jonathan Mukiibi, Fatoumata Ouoba Kabore, Godson Koffi Kalipe, Derguene Mbaye, Allahsera Auguste Tapo, Victoire Memdjokam Koagne, Edwin Munkoh-Buabeng, Valencia Wagner, Idris Abdulmumin, Ayodele Awokoya, Happy Buzaaba, Blessing K. Sibanda, Andiswa Bukula, Sam Manthalu:
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation. CoRR abs/2205.02022 (2022) - [i61]Dawei Zhu, Xiaoyu Shen, Michael A. Hedderich, Dietrich Klakow:
Meta Self-Refinement for Robust Learning with Weak Supervision. CoRR abs/2205.07290 (2022) - [i60]Dana Ruiter, Thomas Kleinbauer, Cristina España-Bonet, Josef van Genabith, Dietrich Klakow:
Exploiting Social Media Content for Self-Supervised Style Transfer. CoRR abs/2205.08814 (2022) - [i59]Lukas Lange, Jannik Strötgen, Heike Adel, Dietrich Klakow:
Multilingual Normalization of Temporal Expressions with Masked Language Models. CoRR abs/2205.10399 (2022) - [i58]Awantee Deshpande, Dana Ruiter, Marius Mosbach, Dietrich Klakow:
StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes. CoRR abs/2205.14036 (2022) - [i57]Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow:
Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages. CoRR abs/2206.01476 (2022) - [i56]Ali Davody, David Ifeoluwa Adelani, Thomas Kleinbauer, Dietrich Klakow:
TOKEN is a MASK: Few-shot Named Entity Recognition with Pre-trained Language Models. CoRR abs/2206.07841 (2022) - [i55]Vilém Zouhar, Marius Mosbach, Dietrich Klakow:
Fusing Sentence Embeddings Into LSTM-based Autoregressive Language Models. CoRR abs/2208.02402 (2022) - [i54]Badr M. Abdullah, Bernd Möbius, Dietrich Klakow:
Integrating Form and Meaning: A Multi-Task Learning Model for Acoustic Word Embeddings. CoRR abs/2209.06633 (2022) - [i53]Anupama Chingacham, Vera Demberg, Dietrich Klakow:
A Data-Driven Investigation of Noise-Adaptive Utterance Generation with Linguistic Modification. CoRR abs/2210.10252 (2022) - [i52]David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, Shruti Rijhwani, Michael Beukman, Chester Palen-Michel, Constantine Lignos, Jesujoba O. Alabi, Shamsuddeen Hassan Muhammad, Peter Nabende, Cheikh M. Bamba Dione, Andiswa Bukula, Rooweither Mabuya, Bonaventure F. P. Dossou, Blessing K. Sibanda, Happy Buzaaba, Jonathan Mukiibi, Godson Kalipe, Derguene Mbaye, Amelia V. Taylor, Fatoumata Ouoba Kabore, Chris Chinenye Emezue, Aremu Anuoluwapo, Perez Ogayo, Catherine Gitau, Edwin Munkoh-Buabeng, Victoire Memdjokam Koagne, Allahsera Auguste Tapo, Tebogo Macucwa, Vukosi Marivate, Elvis Mboning, Tajuddeen Gwadabe, Tosin P. Adewumi, Orevaoghene Ahia, Joyce Nakatumba-Nabende, Neo L. Mokono, Ignatius Ezeani, Chiamaka Chukwuneke, Mofetoluwa Adeyemi, Gilles Hacheme, Idris Abdulmumin, Odunayo Ogundepo, Oreen Yousuf, Tatiana Moteu Ngoli, Dietrich Klakow:
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition. CoRR abs/2210.12391 (2022) - [i51]Simone Fischer-Hübner, Dietrich Klakow, Peggy Valcke, Emmanuel Vincent:
Privacy in Speech and Language Technology (Dagstuhl Seminar 22342). Dagstuhl Reports 12(8): 60-102 (2022) - 2021
- [j12]Aditya Mogadala, Marimuthu Kalimuthu, Dietrich Klakow:
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods. J. Artif. Intell. Res. 71: 1183-1317 (2021) - [j11]Dawei Zhu, Aditya Mogadala, Dietrich Klakow:
Image manipulation with natural language using Two-sided Attentive Conditional Generative Adversarial Network. Neural Networks 136: 207-217 (2021) - [c192]Jacek Kudera, Lauri Tavi, Bernd Möbius, Tania Avgustinova, Dietrich Klakow:
The Effect of Surprisal on Articulatory Gestures in Polish Consonant-to-Vowel Transitions: A Pilot EMA Study. ITG Conference on Speech Communication 2021: 1-5 - [c191]Michael A. Hedderich, Dawei Zhu, Dietrich Klakow:
Analysing the Noise Model Error for Realistic Noisy Label Data. AAAI 2021: 7675-7684 - [c190]Badr Abdullah, Iuliia Zaitova, Tania Avgustinova, Bernd Möbius, Dietrich Klakow:
How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word Embeddings. BlackboxNLP@EMNLP 2021: 407-419 - [c189]Adwait Sharma, Michael A. Hedderich, Divyanshu Bhardwaj, Bruno Fruchard, Jess McIntosh, Aditya Shekhar Nittala, Dietrich Klakow, Daniel Ashbrook, Jürgen Steimle:
SoloFinger: Robust Microgestures while Grasping Everyday Objects. CHI 2021: 744:1-744:15 - [c188]Nicole Macher, Badr M. Abdullah, Harm Brouwer, Dietrich Klakow:
Do we read what we hear? Modeling orthographic influences on spoken word recognition. EACL (Student Research Workshop) 2021: 16-22 - [c187]Alexandra Mayn, Badr M. Abdullah, Dietrich Klakow:
Familiar words but strange voices: Modelling the influence of speech variability on word recognition. EACL (Student Research Workshop) 2021: 96-102 - [c186]Susann Boy, Dana Ruiter, Dietrich Klakow:
Emoji-Based Transfer Learning for Sentiment Tasks. EACL (Student Research Workshop) 2021: 103-110 - [c185]Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations. EMNLP (1) 2021: 8382-8395 - [c184]David Ifeoluwa Adelani, Miaoran Zhang, Xiaoyu Shen, Ali Davody, Thomas Kleinbauer, Dietrich Klakow:
Preventing Author Profiling through Zero-Shot Multilingual Back-Translation. EMNLP (1) 2021: 8687-8695 - [c183]Lukas Lange, Jannik Strötgen, Heike Adel, Dietrich Klakow:
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning. EMNLP (1) 2021: 8744-8753 - [c182]Fech Scen Khoo, Dawei Zhu, Michael A. Hedderich, Dietrich Klakow:
Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression. ESANN 2021 - [c181]Marius Mosbach, Maksym Andriushchenko, Dietrich Klakow:
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines. ICLR 2021 - [c180]Anupama Chingacham, Vera Demberg, Dietrich Klakow:
Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors. Interspeech 2021: 1713-1717 - [c179]Martin Kocour, Karel Veselý, Alexander Blatt, Juan Zuluaga-Gomez, Igor Szöke, Jan Cernocký, Dietrich Klakow, Petr Motlícek:
Boosting of Contextual Information in ASR for Air-Traffic Call-Sign Recognition. Interspeech 2021: 3301-3305 - [c178]Jacek Kudera, Philip Georgis, Bernd Möbius, Tania Avgustinova, Dietrich Klakow:
Phonetic Distance and Surprisal in Multilingual Priming: Evidence from Slavic. Interspeech 2021: 3944-3948 - [c177]Badr M. Abdullah, Marius Mosbach, Iuliia Zaitova, Bernd Möbius, Dietrich Klakow:
Do Acoustic Word Embeddings Capture Phonological Similarity? An Empirical Study. Interspeech 2021: 4194-4198 - [c176]Dana Ruiter, Dietrich Klakow, Josef van Genabith, Cristina España-Bonet:
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages. MTSummit (1) 2021: 76-91 - [c175]Michael A. Hedderich, Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios. NAACL-HLT 2021: 2545-2568 - [c174]Marius Mosbach, Irina Stenger, Tania Avgustinova, Bernd Möbius, Dietrich Klakow:
incom.py 2.0 - Calculating Linguistic Distances and Asymmetries in Auditory Perception of Closely Related Languages. RANLP 2021: 968-977 - [c173]Ekaterina Saveleva, Volha Petukhova, Marius Mosbach, Dietrich Klakow:
Graph-based Argument Quality Assessment. RANLP 2021: 1268-1280 - [c172]Boris Wiegand, Dietrich Klakow, Jilles Vreeken:
Mining Easily Understandable Models from Complex Event Logs. SDM 2021: 244-252 - [c171]Ashwin Geet D'Sa, Irina Illina, Dominique Fohr, Dietrich Klakow, Dana Ruiter:
Exploring Conditional Language Model Based Data Augmentation Approaches for Hate Speech Classification. TDS 2021: 135-146 - [i50]Michael A. Hedderich, Dawei Zhu, Dietrich Klakow:
Analysing the Noise Model Error for Realistic Noisy Label Data. CoRR abs/2101.09763 (2021) - [i49]Susann Boy, Dana Ruiter, Dietrich Klakow:
Emoji-Based Transfer Learning for Sentiment Tasks. CoRR abs/2102.06423 (2021) - [i48]Michael A. Hedderich, Lukas Lange, Dietrich Klakow:
ANEA: Distant Supervision for Low-Resource Named Entity Recognition. CoRR abs/2102.13129 (2021) - [i47]Lukas Lange, Jannik Strötgen, Heike Adel, Dietrich Klakow:
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning. CoRR abs/2104.08078 (2021) - [i46]Vanessa Hahn, Dana Ruiter, Thomas Kleinbauer, Dietrich Klakow:
Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces. CoRR abs/2106.07505 (2021) - [i45]Badr M. Abdullah, Marius Mosbach, Iuliia Zaitova, Bernd Möbius, Dietrich Klakow:
Do Acoustic Word Embeddings Capture Phonological Similarity? An Empirical Study. CoRR abs/2106.08686 (2021) - [i44]Michael A. Hedderich, Benjamin Roth, Katharina Kann, Barbara Plank, Alex Ratner, Dietrich Klakow:
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL). CoRR abs/2107.03690 (2021) - [i43]Anupama Chingacham, Vera Demberg, Dietrich Klakow:
Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors. CoRR abs/2107.08337 (2021) - [i42]Dana Ruiter, Dietrich Klakow, Josef van Genabith, Cristina España-Bonet:
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages. CoRR abs/2107.08772 (2021) - [i41]David Ifeoluwa Adelani, Miaoran Zhang, Xiaoyu Shen, Ali Davody, Thomas Kleinbauer, Dietrich Klakow:
Preventing Author Profiling through Zero-Shot Multilingual Back-Translation. CoRR abs/2109.09133 (2021) - [i40]Badr M. Abdullah, Iuliia Zaitova, Tania Avgustinova, Bernd Möbius, Dietrich Klakow:
How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word Embeddings. CoRR abs/2109.10179 (2021) - [i39]Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken:
Label-Descriptive Patterns and their Application to Characterizing Classification Errors. CoRR abs/2110.09599 (2021) - [i38]Florian Dietz, Dietrich Klakow:
Enhancing Reinforcement Learning with discrete interfaces to learn the Dyck Language. CoRR abs/2110.14350 (2021) - [i37]Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain. CoRR abs/2112.08754 (2021) - 2020
- [c170]Xiaoyu Shen, Ernie Chang, Hui Su, Cheng Niu, Dietrich Klakow:
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence. ACL 2020: 7155-7165 - [c169]Ashwin Geet D'Sa, Irina Illina, Dominique Fohr, Dietrich Klakow, Dana Ruiter:
Label Propagation-Based Semi-Supervised Learning for Hate Speech Classification. Insights 2020: 54-59 - [c168]Marius Mosbach, Anna Khokhlova, Michael A. Hedderich, Dietrich Klakow:
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers. BlackboxNLP@EMNLP 2020: 68-82 - [c167]Tejaswani Verma, Christoph Lingenfelder, Dietrich Klakow:
Defining Explanation in an AI Context. BlackboxNLP@EMNLP 2020: 314-322 - [c166]Marius Mosbach, Stefania Degaetano-Ortlieb, Marie-Pauline Krielke, Badr M. Abdullah, Dietrich Klakow:
A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English. COLING 2020: 771-787 - [c165]Moritz Wolf, Dana Ruiter, Ashwin Geet D'Sa, Liane Reiners, Jan Alexandersson, Dietrich Klakow:
HUMAN: Hierarchical Universal Modular ANnotator. EMNLP (Demos) 2020: 55-61 - [c164]Marius Mosbach, Anna Khokhlova, Michael A. Hedderich, Dietrich Klakow:
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers. EMNLP (Findings) 2020: 2502-2516 - [c163]Michael A. Hedderich, David Ifeoluwa Adelani, Dawei Zhu, Jesujoba O. Alabi, Udia Markus, Dietrich Klakow:
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages. EMNLP (1) 2020: 2580-2591 - [c162]Kathrin Grosse, Thomas Alexander Trost, Marius Mosbach, Michael Backes, Dietrich Klakow:
On the Security Relevance of Initial Weights in Deep Neural Networks. ICANN (1) 2020: 3-14 - [c161]Marimuthu Kalimuthu, Aditya Mogadala, Marius Mosbach, Dietrich Klakow:
Fusion Models for Improved Image Captioning. ICPR Workshops (6) 2020: 381-395 - [c160]Badr M. Abdullah, Tania Avgustinova, Bernd Möbius, Dietrich Klakow:
Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic Languages. INTERSPEECH 2020: 477-481 - [c159]David Ifeoluwa Adelani, Ali Davody, Thomas Kleinbauer, Dietrich Klakow:
Privacy Guarantees for De-Identifying Text Transformations. INTERSPEECH 2020: 4666-4670 - [c158]Volha Petukhova, Firuza Sharifullaeva, Dietrich Klakow:
Authoring Negotiation Content and Programming Simulated Patients. IWSDS 2020: 163-182 - [c157]Marc Schulder, Johannah O'Mahony, Yury Bakanouski, Dietrich Klakow:
ATC-ANNO: Semantic Annotation for Air Traffic Control with Assistive Auto-Annotation. LREC 2020: 6375-6380 - [c156]Kathryn Annette Chapman, Johannes Bernhard, Dietrich Klakow:
CoLi at UdS at SemEval-2020 Task 12: Offensive Tweet Detection with Ensembling. SemEval@COLING 2020: 1916-1924 - [c155]Mossad Helali, Thomas Kleinbauer, Dietrich Klakow:
Assessing Unintended Memorization in Neural Discriminative Sequence Models. TDS 2020: 265-272 - [c154]Aleena Thomas, David Ifeoluwa Adelani, Ali Davody, Aditya Mogadala, Dietrich Klakow:
Investigating the Impact of Pre-trained Word Embeddings on Memorization in Neural Networks. TDS 2020: 273-281 - [c153]Badr M. Abdullah, Jacek Kudera, Tania Avgustinova, Bernd Möbius, Dietrich Klakow:
Rediscovering the Slavic Continuum in Representations Emerging from Neural Models of Spoken Language Identification. VarDial@COLING 2020: 128-139 - [c152]David Ifeoluwa Adelani, Michael A. Hedderich, Dawei Zhu, Esther van den Berg, Dietrich Klakow:
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá. AfricaNLP 2020 - [i36]Xiaoyu Shen, Ernie Chang, Hui Su, Jie Zhou, Dietrich Klakow:
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence. CoRR abs/2005.01096 (2020) - [i35]Marius Mosbach, Maksym Andriushchenko, Dietrich Klakow:
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines. CoRR abs/2006.04884 (2020) - [i34]Gabriele Bettgenhäuser, Michael A. Hedderich, Dietrich Klakow:
Learning Functions to Study the Benefit of Multitask Learning. CoRR abs/2006.05561 (2020) - [i33]Ali Davody, David Ifeoluwa Adelani, Thomas Kleinbauer, Dietrich Klakow:
Robust Differentially Private Training of Deep Neural Networks. CoRR abs/2006.10919 (2020) - [i32]Aditya Mogadala, Marius Mosbach, Dietrich Klakow:
Sparse Graph to Sequence Learning for Vision Conditioned Long Textual Sequence Generation. CoRR abs/2007.06077 (2020) - [i31]Aditya Mogadala, Xiaoyu Shen, Dietrich Klakow:
Integrating Image Captioning with Rule-based Entity Masking. CoRR abs/2007.11690 (2020) - [i30]Badr M. Abdullah, Tania Avgustinova, Bernd Möbius, Dietrich Klakow:
Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic Languages. CoRR abs/2008.00545 (2020) - [i29]David Ifeoluwa Adelani, Ali Davody, Thomas Kleinbauer, Dietrich Klakow:
Privacy Guarantees for De-identifying Text Transformations. CoRR abs/2008.03101 (2020) - [i28]