| Challenge: | a new set of Java archives facilitates advanced manipulations of corpora annotated in TSV formats. |
| Approach: | They propose to use Java archives to facilitate advanced manipulations of corpora annotated in TSV formats. |
| Outcome: | The proposed libraries support all members of the CoNLL format family. |
Similar Papers
CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing (L18-1)
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Amir More, Özlem Çetinoğlu, Çağrı Çöltekin, Nizar Habash, Benoît Sagot, Djamé Seddah, Dima Taji, Reut Tsarfaty
| Challenge: | Using the universal dependencies framework, we address the need for a universal representation of morphological analysis that can capture alternative morphology of surface tokens and is compatible with the segmentation and morphologic annotation guidelines prescribed for UD treebanks. |
| Approach: | They propose a new annotation format for word lattices that represent morphological analyses and a resource that obeys this format for a range of typologically different languages. |
| Outcome: | The proposed model can capture alternative morphological analyses of surface tokens and is compatible with the segmentation and morphology guidelines prescribed for UD treebanks. |
A Tree Extension for CoNLL-RDF (2020.lrec-1)
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| Challenge: | CoNLL-RDF provides a bridge for popular oneword-per-line formats . main reasons for their popularity are the simplicity of tables and tab-separated values . |
| Approach: | They propose a technology that provides a bridge between knowledge graphs and natural language processing. |
| Outcome: | The proposed technology provides a bridge for popular one-word-per-line formats . it provides native support for word-level annotations, but not phrase structures or text structure . |
The ACoLi Dictionary Graph (2020.lrec-1)
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| Challenge: | ACoLi Dictionary Graph is a collection of multilingual open source dictionaries available in two machine-readable formats. |
| Approach: | They propose to map and harmonize ACoLi Dictionary Graph into a unified representation and a tabular data format to facilitate their use in NLP tasks. |
| Outcome: | The ACoLi Dictionary Graph is a collection of multilingual open source dictionaries available in two machine-readable formats. |
Annotation Interoperability for the Post-ISOCat Era (2020.lrec-1)
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| Challenge: | Using ISOCat successor solutions, annotation standards have been developed since 2010 . |
| Approach: | They describe ISOCat successor solutions and annotation standardization efforts since 2010 . they describe low-cost harmonization of post-ISOCat vocabularies by means of linked ontologies . |
| Outcome: | The proposed ontologies are linked with the Ontologie of Linguistic Annotation and ISOCat, the GOLD ontology, the Typological Database Systems ontological and a large number of annotation schemes. |
A Modular Tool for Automatic Summarization (P19-3)
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| Challenge: | Abstractive automatic summarization methods are supervized, but they require large corpora to perform tasks. |
| Approach: | They propose to use a modular tool for automatic summarization that is as simple as possible for end-users. |
| Outcome: | The proposed tool is open source and written in Java . it could be used as a baseline for future work and evaluate methods on different corpora. |
A multilingual collection of CoNLL-U-compatible morphological lexicons (L18-1)
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| Challenge: | Existing morphological lexicons are limited in scope and are not universally accepted . morphology lexical information is encoded into morphologists or gathered in lexiconics . |
| Approach: | They propose a multilingual collection of morphological lexicons that follow the Universal Dependencies initiative. |
| Outcome: | The proposed collection of 53 morphological lexicons covers 38 languages . they have been shown to improve part-of-speech tagging and parsing accuracy . |
An Empirical Evaluation of Annotation Practices in Corpora from Language Documentation (2020.lrec-1)
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| Challenge: | Language documentation projects have produced substantial amounts of primary data from a wide variety of endangered languages. |
| Approach: | They propose to use common annotation conventions in existing corpora to facilitate their future processing. |
| Outcome: | The proposed formats are based on the common ELAN and Toolbox formats and are used to facilitate their future processing. |
Universal Dependencies for Ainu (L18-1)
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| Challenge: | a task is underway to create a dependency tree bank for the Ainu language in the scheme of Universal Dependencies (UD). |
| Approach: | They propose to create a dependency tree bank for the Ainu language in the scheme of Universal Dependencies (UD) their mini-lexicon is encoded under the W3C OntoLex specification with UD and UniMorph features with the system-friendly JSON-LD format and is bearable to future extensions. |
| Outcome: | The proposed tree bank contains 10,000 word tokens and is small enough to be used as a base annotation for the next step. |
CoNLL#: Fine-grained Error Analysis and a Corrected Test Set for CoNLL-03 English (2024.lrec-main)
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| Challenge: | a glass ceiling for named entity recognition systems has been suggested for 2021 . however, the performance of the most popular NER benchmarks has plateaued since then . we investigate what NER models are still struggling with . |
| Approach: | They perform a fine-grained evaluation of the model outputs by adding document annotations to the CoNLL-03 English dataset to identify lingering errors. |
| Outcome: | The proposed model is able to correct errors and guide future work. |
Cheating a Parser to Death: Data-driven Cross-Treebank Annotation Transfer (L18-1)
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| Challenge: | Using annotated corpus for linguistic purposes is no longer justified . hand-crafted syntactic resources such as grammars and lexicons can be used as sources of features to guide data driven systems. |
| Approach: | They propose an efficient method for transferring annotations between two different treebanks of the same language. |
| Outcome: | The proposed method is based on the Universal Dependency annotation scheme and was evaluated on the gold standard (94.75% of LAS, 99.40% UAS on the test set). |