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Benjamin Minixhofer
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2020 – today
- 2024
- [c6]Markus Frohmann, Igor Sterner, Ivan Vulic, Benjamin Minixhofer, Markus Schedl:
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation. EMNLP 2024: 11908-11941 - [i7]Benjamin Minixhofer, Edoardo Maria Ponti, Ivan Vulic:
Zero-Shot Tokenizer Transfer. CoRR abs/2405.07883 (2024) - [i6]Markus Frohmann, Igor Sterner, Ivan Vulic, Benjamin Minixhofer, Markus Schedl:
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation. CoRR abs/2406.16678 (2024) - 2023
- [c5]Benjamin Minixhofer, Jonas Pfeiffer, Ivan Vulic:
Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation. ACL (1) 2023: 7215-7235 - [c4]Benjamin Minixhofer, Jonas Pfeiffer, Ivan Vulic:
CompoundPiece: Evaluating and Improving Decompounding Performance of Language Models. EMNLP 2023: 343-359 - [i5]Benjamin Minixhofer, Jonas Pfeiffer, Ivan Vulic:
CompoundPiece: Evaluating and Improving Decompounding Performance of Language Models. CoRR abs/2305.14214 (2023) - [i4]Benjamin Minixhofer, Jonas Pfeiffer, Ivan Vulic:
Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation. CoRR abs/2305.18893 (2023) - 2022
- [c3]Selim Fekih, Nicolò Tamagnone, Benjamin Minixhofer, Ranjan Shrestha, Ximena Contla, Ewan Oglethorpe, Navid Rekabsaz:
HumSet: Dataset of Multilingual Information Extraction and Classification for Humanitarian Crises Response. EMNLP (Findings) 2022: 4379-4389 - [c2]Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz:
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models. NAACL-HLT 2022: 3992-4006 - [i3]Selim Fekih, Nicolò Tamagnone, Benjamin Minixhofer, Ranjan Shrestha, Ximena Contla, Ewan Oglethorpe, Navid Rekabsaz:
HumSet: Dataset of Multilingual Information Extraction and Classification for Humanitarian Crisis Response. CoRR abs/2210.04573 (2022) - 2021
- [c1]Benjamin Minixhofer, Milan Gritta, Ignacio Iacobacci:
Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning. ACL/IJCNLP (Findings) 2021: 303-313 - [i2]Benjamin Minixhofer, Milan Gritta, Ignacio Iacobacci:
Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning. CoRR abs/2105.03791 (2021) - [i1]Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz:
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models. CoRR abs/2112.06598 (2021)
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last updated on 2024-11-15 19:31 CET by the dblp team
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