Search Results for author:
Found 10 papers, 2 papers with code
Fine-grained Named Entity Annotation for Finnish
We introduce a corpus with fine-grained named entity annotation for Finnish, following the OntoNotes guidelines to create a resource that is cross-lingually compatible with existing annotations for other languages.
Towards Automatic Short Answer Assessment for Finnish as a Paraphrase Retrieval Task
Automatic grouping of textual answers has the potential of allowing batch grading, but is challenging because the answers, especially longer essays, have many claims.
TallVocabL2Fi: A Tall Dataset of 15 Finnish L2 Learners’ Vocabulary
Previous work concerning measurement of second language learners has tended to focus on the knowledge of small numbers of words, often geared towards measuring vocabulary size.
Towards better structured and less noisy Web data: Oscar with Register annotations
Web-crawled datasets are known to be noisy, as they feature a wide range of language use covering both user-generated and professionally edited content as well as noise originating from the crawling process.
Semantic Search as Extractive Paraphrase Span Detection
In this paper, we approach the problem of semantic search by framing the search task as paraphrase span detection, i. e. given a segment of text as a query phrase, the task is to identify its paraphrase in a given document, the same modelling setup as typically used in extractive question answering.
Annotation Guidelines for the Turku Paraphrase Corpus
This document describes the annotation guidelines used to construct the Turku Paraphrase Corpus.
Quantitative Evaluation of Alternative Translations in a Corpus of Highly Dissimilar Finnish Paraphrases
In this paper, we present a quantitative evaluation of differences between alternative translations in a large recently released Finnish paraphrase corpus focusing in particular on non-trivial variation in translation.
Deep learning for sentence clustering in essay grading support
Essays as a form of assessment test student knowledge on a deeper level than short answer and multiple-choice questions.
Finnish Paraphrase Corpus
Out of all paraphrase pairs in our corpus 98% are manually classified to be paraphrases at least in their given context, if not in all contexts.
Towards Fully Bilingual Deep Language Modeling
Language models based on deep neural networks have facilitated great advances in natural language processing and understanding tasks in recent years.
