ikergarcia1996 / T-ProjectionLinks
T-Projection is a method to perform high-quality Annotation Projection of Sequence Labeling datasets.
☆12Updated last year
Alternatives and similar repositories for T-Projection
Users that are interested in T-Projection are comparing it to the libraries listed below
Sorting:
- SeqScore: Scoring for named entity recognition and other sequence labeling tasks☆24Updated 3 months ago
- ☆13Updated last month
- ☆22Updated 4 months ago
- Data and code for the paper "CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding"☆14Updated 2 years ago
- Repository with code for MaChAmp: https://aclanthology.org/2021.eacl-demos.22/☆87Updated last month
- 🌾 Universal, customizable and deployable fine-grained evaluation for text generation.☆23Updated last year
- PropSegmEnt is an annotated dataset for segmenting English text into propositions, and recognizing proposition-level entailment relations…☆19Updated 2 years ago
- ☆27Updated 4 months ago
- Code for SaGe subword tokenizer (EACL 2023)☆25Updated 6 months ago
- ☆10Updated 8 months ago
- Code for our TSD paper "TOKEN is a MASK: Few-shot Named Entity Recognition with Pre-trained Language Models"☆14Updated 2 years ago
- LTG-Bert☆33Updated last year
- GC4LM: A Colossal (Biased) language model for German☆13Updated 4 years ago
- Source code and data for Like a Good Nearest Neighbor☆29Updated 5 months ago
- Corpus exploration platform using advanced tools such as interactive summarization and multi document coreference resolution☆12Updated 2 years ago
- Code for ACL 2022 paper "Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation"☆30Updated 3 years ago
- The dataset and code for ACL 2022 paper "SciNLI: A Corpus for Natural Language Inference on Scientific Text" are released here.☆28Updated last year
- ☆13Updated 3 years ago
- MultiCite code and data. Models are available on Huggingface.☆32Updated 3 years ago
- Statistics on multilingual datasets☆17Updated 2 years ago
- Code for the paper "Getting the most out of your tokenizer for pre-training and domain adaptation"☆19Updated last year
- Starbucks: Improved Training for 2D Matryoshka Embeddings☆21Updated 4 months ago
- The corresponding code for our paper: "Exploring the Challenges of Open Domain Multi-Document Summarization". Do not hesitate to open an …☆32Updated 2 years ago
- SWIM-IR is a Synthetic Wikipedia-based Multilingual Information Retrieval training set with 28 million query-passage pairs spanning 33 la…☆48Updated last year
- BLOOM+1: Adapting BLOOM model to support a new unseen language☆72Updated last year
- Zero-Shot Learning in Named Entity Recognition with Common Sense Knowledge☆17Updated 3 years ago
- KIND: an Italian Multi-Domain Dataset for Named Entity Recognition☆15Updated last year
- Embedding Recycling for Language models☆38Updated last year
- ☆51Updated 2 years ago
- Automatically detect errors in annotated corpora.☆47Updated last year