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Found 11 papers, 2 papers with code
Organizing and Improving a Database of French Word Formation Using Formal Concept Analysis
A family is regarded as a possible anomaly (meaning that it may have missing and/or spurious derivations) if its derivational graph is almost, but not completely identical to a large number of other families.
Do sentence embeddings capture discourse properties of sentences from Scientific Abstracts ?
We introduce four tasks designed to determine which sentence encoders best capture discourse properties of sentences from scientific abstracts, namely coherence and cohesion between clauses of a sentence, and discourse relations within sentences.
Multilingual Clinical NER: Translation or Cross-lingual Transfer?
However, other methods leveraging translation models can be used to perform NER without annotated data in the target language, by either translating the training set or test set.
Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers
Namely, we find that realignment works better on tasks for which alignment is correlated with cross-lingual transfer when generalizing to a distant language and with smaller models, as well as when using a bilingual dictionary rather than FastAlign to extract realignment pairs.
Multilingual Transformer Encoders: a Word-Level Task-Agnostic Evaluation
Some Transformer-based models can perform cross-lingual transfer learning: those models can be trained on a specific task in one language and give relatively good results on the same task in another language, despite having been pre-trained on monolingual tasks only.
Experiments on transfer learning architectures for biomedical relation extraction
Relation extraction (RE) consists in identifying and structuring automatically relations of interest from texts.
Aligning Discourse and Argumentation Structures using Subtrees and Redescription Mining
In this paper, we investigate similarities between discourse and argumentation structures by aligning subtrees in a corpus containing both annotations.
Cross-Corpus Training with TreeLSTM for the Extraction of Biomedical Relationships from Text
Indeed our approach leads to the best published performances for two biomedical RE tasks, and to state-of-the-art results for two other biomedical RE tasks, for which few annotated resources are available (less than 400 manually annotated sentences).
Ambiguity Diagnosis for Terms in Digital Humanities
If a lexical unit is indeed a term of the domain, it is not true, even in a specialised corpus, that all its occurrences are terminological.
