태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Morphological tagging is the task of assigning labels to a sequence of tokens that describe them morphologically. As compared to Part-of-speech tagging, morphological tagging also considers morphological features, such as case, gender or the tense of verbs.
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
The CoNLL dataset is a widely used resource in the field of natural language processing (NLP). The term “CoNLL” stands for Conference on Natural Language Learning. It originates from a series of shared tasks organized at the Conferences of Natural Language Learning.
The Szeged Treebank is the largest fully manually annotated treebank of the Hungarian language. It contains 82,000 sentences, 1.2 million words and 250,000 punctuation marks. Texts were selected from six different domains, ~200,000 words in size from each. The domains are the following: fiction compositions of pupils between 14-16 years of age newspaper articles (from the newspapers Népszabadság, Népszava, Magyar Hírlap, HVG) texts in informatics legal texts business and financial news The treebank exists in three versions: Szeged Treebank 1.0 is annotated for noun phrases and clauses; Szeged Treebank 2.0 contains a deep phrase-structured syntactic analysis for all sentences; Szeged Dependency Treebank contains dependency-style annotation of all sentences. A morphologically reannotated version of the corpus, Szeged Corpus 2.5 has just been released, where participles, causative, frequentative and model verbs are distinctively marked, and unknown or misspelled words have been corrected, along with some minor morphological modifications. If you are interested in Szeged Corpus 2.5, please contact Veronika Vincze.
Automatic segmentation, tokenization and morphological and syntactic annotations of raw texts in 45 languages, generated by UDPipe (http://ufal.mff.cuni.cz/udpipe), together with word embeddings of dimension 100 computed from lowercased texts by word2vec (https://code.google.com/archive/p/word2vec/).
iLur News Texts is a dataset of over 12000 news articles from iLur.am, categorized into 7 classes: sport, politics, weather, economy, accidents, art, society. The articles are split into train (2242k tokens) and test sets (425k tokens). Source: iLur News Texts
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.