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2020 – today
- 2024
[c52]Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schütze:
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network. ACL (Findings) 2024: 3987-4001- [c51]Felip Guimerà Cuevas, Helmut Schmid:
Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators. AISTATS 2024: 406-414 - [c50]Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze:
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. EACL (1) 2024: 2685-2702 - [i14]Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze:
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. CoRR abs/2401.16589 (2024) - [i13]Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schütze:
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network. CoRR abs/2402.11709 (2024) - [i12]Ercong Nie, Shuzhou Yuan, Bolei Ma, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze:
Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models. CoRR abs/2402.18397 (2024) - [i11]Ercong Nie, Bo Shao, Zifeng Ding, Mingyang Wang, Helmut Schmid, Hinrich Schütze:
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning. CoRR abs/2406.17764 (2024) - [i10]Lukas Edman, Helmut Schmid, Alexander Fraser:
CUTE: Measuring LLMs' Understanding of Their Tokens. CoRR abs/2409.15452 (2024) - 2023
- [c49]Ayyoob Imani, Peiqin Lin, Amir Hossein Kargaran
, Silvia Severini, Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, Helmut Schmid, André F. T. Martins, François Yvon, Hinrich Schütze:
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages. ACL (1) 2023: 1082-1117 - [c48]Ercong Nie, Sheng Liang, Helmut Schmid, Hinrich Schütze:
Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages. ACL (Findings) 2023: 8320-8340 - [c47]Ercong Nie, Helmut Schmid, Hinrich Schütze:
Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration. EMNLP (Findings) 2023: 15774-15782 - [c46]Bolei Ma, Ercong Nie, Helmut Schmid, Hinrich Schütze:
Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding. KONVENS 2023: 1-16 - [c45]Felip Guimerà Cuevas, Thomy Phan, Helmut Schmid:
Adaptive Bi-nonlinear Neural Networks Based on Complex Numbers with Weights Constrained Along the Unit Circle. PAKDD (1) 2023: 355-366 - [c44]Ercong Nie, Helmut Schmid, Hinrich Schütze:
Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach. ALP@RANLP 2023: 68-79 - [i9]Ayyoob Imani, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, Helmut Schmid, André F. T. Martins, François Yvon, Hinrich Schütze:
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages. CoRR abs/2305.12182 (2023) - [i8]Bolei Ma, Ercong Nie, Helmut Schmid, Hinrich Schütze:
Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding. CoRR abs/2307.07880 (2023) - [i7]Ercong Nie, Helmut Schmid, Hinrich Schütze:
Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach. CoRR abs/2308.04645 (2023) - [i6]Ercong Nie, Helmut Schmid, Hinrich Schütze:
Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration. CoRR abs/2310.05069 (2023) - 2022
- [c43]Jindrich Libovický, Helmut Schmid, Alexander Fraser:
Why don't people use character-level machine translation? ACL (Findings) 2022: 2470-2485 - [i5]Ercong Nie, Sheng Liang, Helmut Schmid, Hinrich Schütze:
Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages. CoRR abs/2212.09651 (2022) - 2021
- [i4]Jindrich Libovický, Helmut Schmid, Alexander Fraser:
Why don't people use character-level machine translation? CoRR abs/2110.08191 (2021) - 2020
- [c42]Timo Schick, Helmut Schmid, Hinrich Schütze:
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification. COLING 2020: 5569-5578 - [c41]Jindrich Libovický, Viktor Hangya, Helmut Schmid, Alexander Fraser:
The LMU Munich System for the WMT20 Very Low Resource Supervised MT Task. WMT@EMNLP 2020: 1104-1111 - [i3]Timo Schick, Helmut Schmid, Hinrich Schütze:
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification. CoRR abs/2010.13641 (2020)
2010 – 2019
- 2019
- [j5]Ayla Kayabas, Helmut Schmid, Ahmet E. Topcu, Özkan Kiliç:
TRMOR: a finite-state-based morphological analyzer for Turkish. Turkish J. Electr. Eng. Comput. Sci. 27(5): 3837-3851 (2019) - [c40]Helmut Schmid:
Deep Learning-Based Morphological Taggers and Lemmatizers for Annotating Historical Texts. DATeCH 2019: 133-137 - 2017
- [j4]Hassan Sajjad, Helmut Schmid, Alexander M. Fraser, Hinrich Schütze:
Statistical Models for Unsupervised, Semi-Supervised, and Supervised Transliteration Mining. Comput. Linguistics 43(2): 349-375 (2017) - [j3]Valentin Deyringer, Alexander Fraser, Helmut Schmid, Tsuyoshi Okita:
Parallelization of Neural Network Training for NLP with Hogwild! Prague Bull. Math. Linguistics 109: 29-38 (2017) - 2015
- [j2]Nadir Durrani, Helmut Schmid, Alexander M. Fraser, Philipp Koehn, Hinrich Schütze:
The Operation Sequence Model - Combining N-Gram-Based and Phrase-Based Statistical Machine Translation. Comput. Linguistics 41(2): 185-214 (2015) - 2014
- [c39]Nadir Durrani, Philipp Koehn, Helmut Schmid, Alexander M. Fraser:
Investigating the Usefulness of Generalized Word Representations in SMT. COLING 2014: 421-432 - [c38]Uwe Springmann, Dietmar Najock, Hermann Morgenroth, Helmut Schmid, Annette Gotscharek, Florian Fink:
OCR of historical printings of Latin texts: problems, prospects, progress. DATeCH 2014: 71-75 - [c37]Thomas Müller, Richárd Farkas, Alex Judea, Helmut Schmid, Hinrich Schütze:
Dependency parsing with latent refinements of part-of-speech tags. EMNLP 2014: 963-967 - [i2]Alexander M. Fraser, Kevin Knight, Philipp Koehn, Helmut Schmid, Hans Uszkoreit:
Statistical Techniques for Translating to Morphologically Rich Languages (Dagstuhl Seminar 14061). Dagstuhl Reports 4(2): 1-16 (2014) - 2013
- [j1]Alexander M. Fraser, Helmut Schmid, Richárd Farkas, Renjing Wang, Hinrich Schütze:
Knowledge Sources for Constituent Parsing of German, a Morphologically Rich and Less-Configurational Language. Comput. Linguistics 39(1): 57-85 (2013) - [c36]Nadir Durrani, Alexander M. Fraser, Helmut Schmid, Hieu Hoang, Philipp Koehn:
Can Markov Models Over Minimal Translation Units Help Phrase-Based SMT? ACL (2) 2013: 399-405 - [c35]Junfei Guo, Juan Liu, Michael Walsh, Helmut Schmid:
Class-Based Language Models for Chinese-English Parallel Corpus. CICLing (2) 2013: 264-275 - [c34]Thomas Müller, Helmut Schmid, Hinrich Schütze:
Efficient Higher-Order CRFs for Morphological Tagging. EMNLP 2013: 322-332 - [c33]Nadir Durrani, Alexander M. Fraser, Helmut Schmid:
Model With Minimal Translation Units, But Decode With Phrases. HLT-NAACL 2013: 1-11 - [c32]Nadir Durrani, Alexander M. Fraser, Helmut Schmid, Hassan Sajjad, Richárd Farkas:
Munich-Edinburgh-Stuttgart Submissions of OSM Systems at WMT13. WMT@ACL 2013: 122-127 - [c31]Hassan Sajjad, Svetlana Smekalova, Nadir Durrani, Alexander M. Fraser, Helmut Schmid:
QCRI-MES Submission at WMT13: Using Transliteration Mining to Improve Statistical Machine Translation. WMT@ACL 2013: 219-224 - [c30]Marion Weller, Max Kisselew, Svetlana Smekalova, Alexander M. Fraser, Helmut Schmid, Nadir Durrani, Hassan Sajjad, Richárd Farkas:
Munich-Edinburgh-Stuttgart Submissions at WMT13: Morphological and Syntactic Processing for SMT. WMT@ACL 2013: 232-239 - 2012
- [c29]Hassan Sajjad, Alexander M. Fraser, Helmut Schmid:
A Statistical Model for Unsupervised and Semi-supervised Transliteration Mining. ACL (1) 2012: 469-477 - [c28]Wolfgang Seeker, Richárd Farkas, Bernd Bohnet, Helmut Schmid, Jonas Kuhn:
Data-driven Dependency Parsing With Empty Heads. COLING (Posters) 2012: 1081-1090 - [c27]Richárd Farkas, Veronika Vincze, Helmut Schmid:
Dependency Parsing of Hungarian: Baseline Results and Challenges. EACL 2012: 55-65 - [c26]Richárd Farkas, Helmut Schmid:
Forest Reranking through Subtree Ranking. EMNLP-CoNLL 2012: 1038-1047 - [c25]Thomas Müller, Hinrich Schütze, Helmut Schmid:
A Comparative Investigation of Morphological Language Modeling for the Languages of the European Union. HLT-NAACL 2012: 386-395 - 2011
- [c24]Hassan Sajjad, Alexander M. Fraser, Helmut Schmid:
An Algorithm for Unsupervised Transliteration Mining with an Application to Word Alignment. ACL 2011: 430-439 - [c23]Nadir Durrani, Helmut Schmid, Alexander M. Fraser:
A Joint Sequence Translation Model with Integrated Reordering. ACL 2011: 1045-1054 - [c22]Hassan Sajjad, Nadir Durrani, Helmut Schmid, Alexander M. Fraser:
Comparing Two Techniques for Learning Transliteration Models Using a Parallel Corpus. IJCNLP 2011: 129-137 - [c21]Richárd Farkas, Bernd Bohnet, Helmut Schmid:
Features for Phrase-Structure Reranking from Dependency Parses. IWPT 2011: 209-214 - 2010
- [c20]Nadir Durrani, Hassan Sajjad, Alexander M. Fraser, Helmut Schmid:
Hindi-to-Urdu Machine Translation through Transliteration. ACL 2010: 465-474 - [c19]Gertrud Faaß, Ulrich Heid, Helmut Schmid:
Design and Application of a Gold Standard for Morphological Analysis: SMOR as an Example of Morphological Evaluation. LREC 2010 - [c18]Ulrich Heid, Helmut Schmid, Kerstin Eckart, Erhard W. Hinrichs:
A Corpus Representation Format for Linguistic Web Services: The D-SPIN Text Corpus Format and its Relationship with ISO Standards. LREC 2010
2000 – 2009
- 2009
- [c17]Hassan Sajjad, Helmut Schmid:
Tagging Urdu Text with Parts of Speech: A Tagger Comparison. EACL 2009: 692-700 - 2008
- [c16]Sabine Schulte im Walde, Christian Hying, Christian Scheible, Helmut Schmid:
Combining EM Training and the MDL Principle for an Automatic Verb Classification Incorporating Selectional Preferences. ACL 2008: 496-504 - [c15]Helmut Schmid, Florian Laws:
Estimation of Conditional Probabilities With Decision Trees and an Application to Fine-Grained POS Tagging. COLING 2008: 777-784 - 2007
- [c14]Vera Demberg, Helmut Schmid, Gregor Möhler:
Phonological Constraints and Morphological Preprocessing for Grapheme-to-Phoneme Conversion. ACL 2007 - [c13]Helmut Schmid, Bernd Möbius, Julia Weidenkaff:
Tagging syllable boundaries with joint n-gram models. INTERSPEECH 2007: 2857-2860 - 2006
- [c12]Helmut Schmid:
Trace Prediction and Recovery with Unlexicalized PCFGs and Slash Features. ACL 2006 - 2005
- [c11]Helmut Schmid:
A Programming Language for Finite State Transducers. FSMNLP 2005: 308-309 - [c10]Helmut Schmid:
Disambiguation of Morphological Structure using a PCFG. HLT/EMNLP 2005: 515-522 - 2004
- [c9]Helmut Schmid:
Efficient Parsing of Highly Ambiguous Context-Free Grammars with Bit Vectors. COLING 2004 - [c8]Helmut Schmid, Michaela Atterer:
New Statistical Methods for Phrase Break Prediction. COLING 2004 - [c7]Helmut Schmid, Arne Fitschen, Ulrich Heid:
SMOR: A German Computational Morphology Covering Derivation, Composition and Inflection. LREC 2004 - 2002
- [c6]Helmut Schmid:
A Generative Probability Model for Unification-Based Grammars. COLING 2002 - [c5]Helmut Schmid:
Lexicalization of Probabilistic Grammars. COLING 2002 - 2001
- [c4]Helmut Schmid, Mats Rooth:
Parse Forest Computation of Expected Governors. ACL 2001: 458-465 - 2000
- [b1]Helmut Schmid:
YAP: parsing and disambiguation with feature based grammars. University of Stuttgart, Germany, 2000, pp. 1-197 - [c3]Helmut Schmid, Sabine Schulte im Walde:
Robust German Noun Chunking With a Probabilistic Context-Free Grammar. COLING 2000: 726-732
1990 – 1999
- 1997
- [c2]Helmut Schmid:
Parsing by Successive Approximation. IWPT 1997: 177-186 - 1994
- [c1]Helmut Schmid:
Part-Of-Speech Tagging With Neural Networks. COLING 1994: 172-176 - [i1]Helmut Schmid:
Part-of-Speech Tagging with Neural Networks. CoRR abs/cmp-lg/9410018 (1994)
Coauthor Index
aka: Alexander M. Fraser
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