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Found 32 papers, 12 papers with code
Cross-lingual and Cross-domain Transfer Learning for Automatic Term Extraction from Low Resource Data
Automatic Term Extraction (ATE) is a key component for domain knowledge understanding and an important basis for further natural language processing applications.
CASIMIR: A Corpus of Scientific Articles enhanced with Multiple Author-Integrated Revisions
Writing a scientific article is a challenging task as it is a highly codified and specific genre, consequently proficiency in written communication is essential for effectively conveying research findings and ideas.
A Survey of Pre-trained Language Models for Processing Scientific Text
The number of Language Models (LMs) dedicated to processing scientific text is on the rise.
Text revision in Scientific Writing Assistance: An Overview
Writing a scientific article is a challenging task as it is a highly codified genre.
A Large-Scale Dataset for Biomedical Keyphrase Generation
Keyphrase generation is the task consisting in generating a set of words or phrases that highlight the main topics of a document.
ACM-CR: A Manually Annotated Test Collection for Citation Recommendation
Our test collection and code to replicate experiments are available at https://github. com/boudinfl/acm-cr
Keyphrase Generation for Scientific Document Retrieval
Sequence-to-sequence models have lead to significant progress in keyphrase generation, but it remains unknown whether they are reliable enough to be beneficial for document retrieval.
The DELICES project: Indexing scientific literature through semantic expansion
Scientific digital libraries play a critical role in the development and dissemination of scientific literature.
Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness
Neural keyphrase generation models have recently attracted much interest due to their ability to output absent keyphrases, that is, keyphrases that do not appear in the source text.
Extraction and Evaluation of Formulaic Expressions Used in Scholarly Papers
We also propose a new extraction method that utilises named entities and dependency structures to remove the non-formulaic part from a sentence.
An Evaluation Dataset for Identifying Communicative Functions of Sentences in English Scholarly Papers
Formulaic expressions, such as {`}in this paper we propose{'}, are used by authors of scholarly papers to perform communicative functions; the communicative function of the present example is {`}stating the aim of the paper{'}.
TermEval 2020: TALN-LS2N System for Automatic Term Extraction
Automatic terminology extraction is a notoriously difficult task aiming to ease effort demanded to manually identify terms in domain-specific corpora by automatically providing a ranked list of candidate terms.
Large-Scale Evaluation of Keyphrase Extraction Models
Keyphrase extraction models are usually evaluated under different, not directly comparable, experimental setups.
KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documents
Keyphrase generation is the task of predicting a set of lexical units that conveys the main content of a source text.
DeFT 2019 : Auto-encodeurs, Gradient Boosting et combinaisons de mod\`eles pour l'identification automatique de mots-cl\'es. Participation de l'\'equipe TALN du LS2N (Autoencoders, gradient boosting and ensemble systems for automatic keyphrase assignment : The LS2N team participation's in the 2019 edition of DeFT)
Nous pr{\'e}sentons dans cet article la participation de l{'}{\'e}quipe TALN du LS2N {\`a} la t{\^a}che d{'}indexation de cas cliniques (t{\^a}che 1).
Unsupervised Keyphrase Extraction with Multipartite Graphs
We propose an unsupervised keyphrase extraction model that encodes topical information within a multipartite graph structure.
pke: an open source python-based keyphrase extraction toolkit
We describe pke, an open source python-based keyphrase extraction toolkit.
Keyphrase Annotation with Graph Co-Ranking
But they are often silent on the contrary of extraction methods that do not depend on manually built resources.
How Document Pre-processing affects Keyphrase Extraction Performance
The SemEval-2010 benchmark dataset has brought renewed attention to the task of automatic keyphrase extraction.
Mod\'elisation unifi\'ee du document et de son domaine pour une indexation par termes-cl\'es libre et contr\^ol\'ee (Unified document and domain-specific model for keyphrase extraction and assignment )
Dans cet article, nous nous int{\'e}ressons {\`a} l{'}indexation de documents de domaines de sp{\'e}cialit{\'e} par l{'}interm{\'e}diaire de leurs termes-cl{\'e}s. Plus particuli{\`e}rement, nous nous int{\'e}ressons {\`a} l{'}indexation telle qu{'}elle est r{\'e}alis{\'e}e par les documentalistes de biblioth{\`e}ques num{\'e}riques.
TermITH-Eval: a French Standard-Based Resource for Keyphrase Extraction Evaluation
The output keyphrases of automatic keyphrase extraction methods for test documents are typically evaluated by comparing them to manually assigned reference keyphrases.
