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ORCIDDietrich Klakow
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- affiliation: Saarland University, Saarbrücken, Germany
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2020 – today
- 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)- [c193]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 - [c192]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 - [i65]Vilém Zouhar, Marius Mosbach, Debanjali Biswas, Dietrich Klakow:
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access. CoRR abs/2201.09651 (2022) - [i64]Vilém Zouhar, Marius Mosbach, Miaoran Zhang, Dietrich Klakow:
Knowledge Base Index Compression via Dimensionality and Precision Reduction. CoRR abs/2204.02906 (2022) - [i63]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) - [i62]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) - [i61]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) - [i60]Miaoran Zhang, Marius Mosbach, David Ifeoluwa Adelani, Michael A. Hedderich, Dietrich Klakow:
MCSE: Multimodal Contrastive Learning of Sentence Embeddings. CoRR abs/2204.10931 (2022) - [i59]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) - [i58]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 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) - [i57]Dawei Zhu, Xiaoyu Shen, Michael A. Hedderich, Dietrich Klakow:
Meta Self-Refinement for Robust Learning with Weak Supervision. CoRR abs/2205.07290 (2022) - [i56]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) - [i55]Lukas Lange, Jannik Strötgen, Heike Adel, Dietrich Klakow:
Multilingual Normalization of Temporal Expressions with Masked Language Models. CoRR abs/2205.10399 (2022) - [i54]Awantee Deshpande, Dana Ruiter, Marius Mosbach, Dietrich Klakow:
StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes. CoRR abs/2205.14036 (2022) - [i53]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) - [i52]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) - 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) - [c191]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 - [c190]Michael A. Hedderich, Dawei Zhu, Dietrich Klakow:
Analysing the Noise Model Error for Realistic Noisy Label Data. AAAI 2021: 7675-7684 - [c189]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 - [c188]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 - [c187]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 - [c186]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 - [c185]Susann Boy, Dana Ruiter, Dietrich Klakow:
Emoji-Based Transfer Learning for Sentiment Tasks. EACL (Student Research Workshop) 2021: 103-110 - [c184]Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations. EMNLP (1) 2021: 8382-8395 - [c183]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 - [c182]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 - [c181]Fech Scen Khoo, Dawei Zhu, Michael A. Hedderich, Dietrich Klakow:
Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression. ESANN 2021 - [c180]Marius Mosbach, Maksym Andriushchenko, Dietrich Klakow:
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines. ICLR 2021 - [c179]Anupama Chingacham, Vera Demberg, Dietrich Klakow:
Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors. Interspeech 2021: 1713-1717 - [c178]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 - [c177]Jacek Kudera, Philip Georgis, Bernd Möbius, Tania Avgustinova, Dietrich Klakow:
Phonetic Distance and Surprisal in Multilingual Priming: Evidence from Slavic. Interspeech 2021: 3944-3948 - [c176]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 - [c175]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 - [c174]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 - [c173]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 - [c172]Ekaterina Saveleva, Volha Petukhova, Marius Mosbach, Dietrich Klakow:
Graph-based Argument Quality Assessment. RANLP 2021: 1268-1280 - [c171]Boris Wiegand, Dietrich Klakow, Jilles Vreeken:
Mining Easily Understandable Models from Complex Event Logs. SDM 2021: 244-252 - [c170]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 - [i51]Michael A. Hedderich, Dawei Zhu, Dietrich Klakow:
Analysing the Noise Model Error for Realistic Noisy Label Data. CoRR abs/2101.09763 (2021) - [i50]Susann Boy, Dana Ruiter, Dietrich Klakow:
Emoji-Based Transfer Learning for Sentiment Tasks. CoRR abs/2102.06423 (2021) - [i49]Michael A. Hedderich, Lukas Lange, Dietrich Klakow:
ANEA: Distant Supervision for Low-Resource Named Entity Recognition. CoRR abs/2102.13129 (2021) - [i48]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) - [i47]Vanessa Hahn, Dana Ruiter, Thomas Kleinbauer, Dietrich Klakow:
Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces. CoRR abs/2106.07505 (2021) - [i46]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) - [i45]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) - [i44]Anupama Chingacham, Vera Demberg, Dietrich Klakow:
Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors. CoRR abs/2107.08337 (2021) - [i43]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) - [i42]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) - [i41]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) - [i40]Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken:
Label-Descriptive Patterns and their Application to Characterizing Classification Errors. CoRR abs/2110.09599 (2021) - [i39]Florian Dietz, Dietrich Klakow:
Enhancing Reinforcement Learning with discrete interfaces to learn the Dyck Language. CoRR abs/2110.14350 (2021) - [i38]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
- [c169]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 - [c168]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 - [c167]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 - [c166]Tejaswani Verma, Christoph Lingenfelder, Dietrich Klakow:
Defining Explanation in an AI Context. BlackboxNLP@EMNLP 2020: 314-322 - [c165]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 - [c164]Moritz Wolf, Dana Ruiter, Ashwin Geet D'Sa, Liane Reiners, Jan Alexandersson, Dietrich Klakow:
HUMAN: Hierarchical Universal Modular ANnotator. EMNLP (Demos) 2020: 55-61 - [c163]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 - [c162]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 - [c161]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 - [c160]Marimuthu Kalimuthu, Aditya Mogadala, Marius Mosbach, Dietrich Klakow:
Fusion Models for Improved Image Captioning. ICPR Workshops (6) 2020: 381-395 - [c159]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 - [c158]David Ifeoluwa Adelani, Ali Davody, Thomas Kleinbauer, Dietrich Klakow:
Privacy Guarantees for De-Identifying Text Transformations. INTERSPEECH 2020: 4666-4670 - [c157]Volha Petukhova, Firuza Sharifullaeva, Dietrich Klakow:
Authoring Negotiation Content and Programming Simulated Patients. IWSDS 2020: 163-182 - [c156]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 - [c155]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 - [c154]Mossad Helali, Thomas Kleinbauer, Dietrich Klakow:
Assessing Unintended Memorization in Neural Discriminative Sequence Models. TDS 2020: 265-272 - [c153]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 - [c152]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 - [i37]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. CoRR abs/2003.08370 (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]Moritz Wolf, Dana Ruiter, Ashwin Geet D'Sa, Liane Reiners, Jan Alexandersson, Dietrich Klakow:
HUMAN: Hierarchical Universal Modular ANnotator. CoRR abs/2010.01080 (2020) - [i27]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. CoRR abs/2010.02616 (2020) - [i26]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. CoRR abs/2010.03179 (2020) - [i25]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. CoRR abs/2010.11973 (2020) - [i24]Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
Adversarial Learning of Feature-based Meta-Embeddings. CoRR abs/2010.12305 (2020) - [i23]Michael A. Hedderich, Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios. CoRR abs/2010.12309 (2020) - [i22]Marimuthu Kalimuthu, Aditya Mogadala, Marius Mosbach, Dietrich Klakow:
Fusion Models for Improved Visual Captioning. CoRR abs/2010.15251 (2020) - [i21]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. CoRR abs/2011.00960 (2020)
2010 – 2019
- 2019
- [j10]Alexander Bentkamp, Jasmin Christian Blanchette, Dietrich Klakow:
A Formal Proof of the Expressiveness of Deep Learning. J. Autom. Reason. 63(2): 347-368 (2019) - [c151]Carsten Klaus, Peter Fankhauser, Dietrich Klakow:
OCR Nachkorrektur des Royal Society Corpus. DHd 2019 - [c150]Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine:
Select and Attend: Towards Controllable Content Selection in Text Generation. EMNLP/IJCNLP (1) 2019: 579-590 - [c149]Lukas Lange, Michael A. Hedderich, Dietrich Klakow:
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels. EMNLP/IJCNLP (1) 2019: 3552-3557 - [c148]Xiaoyu Shen, Yang Zhao, Hui Su, Dietrich Klakow:
Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator. EMNLP/IJCNLP (1) 2019: 3760-3771 - [c147]Dana Ruiter, Md. Ataur Rahman, Dietrich Klakow:
LSV-UdS at HASOC 2019: The Problem of Defining Hate. FIRE (Working Notes) 2019: 263-270 - [c146]Matthias Kleinert, Hartmut Helmke, Gerald Siol, Heiko Ehr, Dietrich Klakow, Mittul Singh, Petr Motlícek, Christian Kern, Aneta Cerna, Petr Hlousek:
Adaptation of Assistant Based Speech Recognition to New Domains and Its Acceptance by Air Traffic Controllers. IHSI 2019: 820-826 - [c145]Michael A. Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo:
Using Multi-Sense Vector Embeddings for Reverse Dictionaries. IWCS (1) 2019: 247-258 - [c144]Debjit Paul, Mittul Singh, Michael A. Hedderich, Dietrich Klakow:
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling. NAACL-HLT (Student Research Workshop) 2019: 29-34 - [c143]Andrew Johnson, Penny Karanasou, Judith Gaspers, Dietrich Klakow:
Cross-lingual Transfer Learning for Japanese Named Entity Recognition. NAACL-HLT (2) 2019: 182-189 - [c142]Yuri Bizzoni, Marius Mosbach, Dietrich Klakow, Stefania Degaetano-Ortlieb:
Some steps towards the generation of diachronic WordNets. NODALIDA 2019: 55-64 - [c141]Volha Petukhova, Firuza Sharifullaeva, Dietrich Klakow:
Modelling Shared Decision Making in Medical Negotiations: Interactive Training with Cognitive Agents. PRIMA 2019: 251-270 - [c140]Marius Mosbach, Irina Stenger, Tania Avgustinova, Dietrich Klakow:
incom.py - A Toolbox for Calculating Linguistic Distances and Asymmetries between Related Languages. RANLP 2019: 810-818 - [c139]Martin Wolf, Volha Petukhova, Dietrich Klakow:
Term-Based Extraction of Medical Information: Pre-Operative Patient Education Use Case. RANLP 2019: 1346-1355 - [c138]Rajarshi Biswas, Aditya Mogadala, Michael Barz, Daniel Sonntag, Dietrich Klakow:
Automatic Judgement of Neural Network-Generated Image Captions. SLSP 2019: 261-272 - [e1]Aditya Mogadala, Dietrich Klakow, Sandro Pezzelle, Marie-Francine Moens:
Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge, LANTERN@EMNLP-IJCNLP 2019, Hong Kong, China, November 3, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-75-8 [contents] - [i20]Kathrin Grosse, Thomas Alexander Trost, Marius Mosbach, Michael Backes, Dietrich Klakow:
Adversarial Initialization - when your network performs the way I want. CoRR abs/1902.03020 (2019) - [i19]Debjit Paul, Mittul Singh, Michael A. Hedderich, Dietrich Klakow:
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling. CoRR abs/1903.12008 (2019) - [i18]Michael A. Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo:
Using Multi-Sense Vector Embeddings for Reverse Dictionaries. CoRR abs/1904.01451 (2019) - [i17]Aditya Mogadala, Marimuthu Kalimuthu, Dietrich Klakow:
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods. CoRR abs/1907.09358 (2019) - [i16]Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine:
Select and Attend: Towards Controllable Content Selection in Text Generation. CoRR abs/1909.04453 (2019) - [i15]Lukas Lange, Michael A. Hedderich, Dietrich Klakow:
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels. CoRR abs/1910.06061 (2019) - [i14]Dawei Zhu, Aditya Mogadala, Dietrich Klakow:
Image Manipulation with Natural Language using Two-sidedAttentive Conditional Generative Adversarial Network. CoRR abs/1912.07478 (2019) - 2018
- [c137]Michael A. Hedderich, Dietrich Klakow:
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data. DeepLo@ACL 2018: 12-18 - [c136]Kata Naszádi, Youssef Oualil, Dietrich Klakow:
Image-Sensitive Language Modeling for Automatic Speech Recognition. ECCV Workshops (4) 2018: 173-179 - [c135]Mittul Singh, Arunav Mishra, Youssef Oualil, Klaus Berberich, Dietrich Klakow:
Long-Span Language Models for Query-Focused Unsupervised Extractive Text Summarization. ECIR 2018: 657-664 - [c134]Natalia Skachkova, Thomas Alexander Trost, Dietrich Klakow:
Closing Brackets with Recurrent Neural Networks. BlackboxNLP@EMNLP 2018: 232-239 - [c133]Xiaoyu Shen, Hui Su, Wenjie Li, Dietrich Klakow:
Nexus Network: Connecting the Preceding and the Following in Dialogue Generation. EMNLP 2018: 4316-4327 - [c132]David M. Howcroft, Dietrich Klakow, Vera Demberg:
Toward Bayesian Synchronous Tree Substitution Grammars for Sentence Planning. INLG 2018: 391-396 - [c131]Nima Nabizadeh, Mittul Singh, Dietrich Klakow:
Outperforming Neural Readers Using Broad-Context Discriminative Language Modeling on the LAMBADA Word Prediction Task. KONVENS 2018: 172-177 - [c130]Volha Petukhova, Andrei Malchanau, Youssef Oualil, Dietrich Klakow, Saturnino Luz, Fasih Haider, Nick Campbell, Dimitris Koryzis, Dimitris Spiliotopoulos, Pierre Albert, Nicklas Linz, Jan Alexandersson:
The Metalogue Debate Trainee Corpus: Data Collection and Annotations. LREC 2018 - [c129]Fangzhou Zhai, Yue Fan, Tejaswani Verma, Rupali Sinha, Dietrich Klakow:
A Dataset and a Novel Neural Approach for Optical Gregg Shorthand Recognition. TSD 2018: 222-230 - [i13]Michael A. Hedderich, Dietrich Klakow:
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data. CoRR abs/1807.00745 (2018) - [i12]