UppsalaNLP / uuparserLinks
A transition-based parser for Universal Dependencies with BiLSTM word and character representations.
☆82Updated 2 years ago
Alternatives and similar repositories for uuparser
Users that are interested in uuparser are comparing it to the libraries listed below
Sorting:
- An updated version of the Parser-v1 repo, used for Stanford's submission in the CoNLL17 shared task.☆47Updated 6 years ago
- Transition-based UCCA Parser☆73Updated 4 years ago
- Assessing syntactic abilities of BERT☆148Updated 6 years ago
- pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference☆62Updated 2 years ago
- Twpipe is a pipeline toolkit that parses raw tweets into universal dependencies.☆28Updated 6 years ago
- This is the reference implementation of commonly used coreference metrics.☆74Updated 7 years ago
- Labeled Span Graph Networks☆118Updated 6 years ago
- Universal Conceptual Cognitive Annotation (UCCA)☆21Updated 3 years ago
- Cross-Lingual Alignment of Contextual Word Embeddings☆99Updated 5 years ago
- Coreference Resolution With Entity Equalization☆40Updated 2 years ago
- Parser for Abstract Meaning Representation☆46Updated 4 years ago
- Large scale sentential paraphrases collection and annotation☆46Updated 2 years ago
- The Attract-Repel algorithm presented in (Mrkšić et al., TACL 2017), with accompanying resources.☆63Updated 7 years ago
- Abstract Meaning Representation (AMR) reader☆35Updated 5 years ago
- Dynet-based Biaffine Parser☆33Updated 6 years ago
- PredPatt: Predicate-Argument Extraction from Universal Dependencies☆112Updated 4 years ago
- Software to Manipulate Different Flavors of Semantic Graphs☆51Updated 2 years ago
- Universal Proposition Banks for Multilingual Semantic Role Labeling☆101Updated 3 years ago
- NLP research experiments, built on PyTorch within the AllenNLP framework.☆91Updated last year
- Implementation of "Arc-swift: A Novel Transition System for Dependency Parsing"☆32Updated 6 years ago
- Unsupervised Neural Text Simplification☆32Updated 4 years ago
- Disambiguate is a tool for training and using state of the art neural WSD models☆60Updated 3 years ago
- ☆33Updated 3 years ago
- ☆46Updated 5 years ago
- ☆47Updated 8 years ago
- NAACL 2019 paper: Density Matching for Bilingual Word Embedding (Zhou et al., 2019)☆63Updated 2 years ago
- Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation☆63Updated 6 years ago
- Source code for "Head-Driven Phrase Structure Grammar Parsing on Penn Treebank" published at ACL 2019☆107Updated 5 years ago
- Decoding platform for machine translation research☆55Updated 5 years ago
- Dependency Parsing as Sequence Labeling☆26Updated 10 months ago