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Found 29 papers, 3 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.
Data Selection for Bilingual Lexicon Induction from Specialized Comparable Corpora
In this paper, we contrast several data selection techniques to improve bilingual lexicon induction from specialized comparable corpora.
Hierarchical Text Segmentation for Medieval Manuscripts
In this paper, we address the segmentation of books of hours, Latin devotional manuscripts of the late Middle Ages, that exhibit challenging issues: a complex hierarchical entangled structure, variable content, noisy transcriptions with no sentence markers, and strong correlations between sections for which topical information is no longer sufficient to draw segmentation boundaries.
Towards Automatic Thesaurus Construction and Enrichment.
Thesaurus construction with minimum human efforts often relies on automatic methods to discover terms and their relations.
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.
TALN/LS2N Participation at the BUCC Shared Task: Bilingual Dictionary Induction from Comparable Corpora
This paper describes the TALN/LS2N system participation at the Building and Using Comparable Corpora (BUCC) shared task.
Meta-Embedding Sentence Representation for Textual Similarity
In this paper, we propose a systematic study of the impact of the main word embedding models on sentence representation.
Tweaks and Tricks for Word Embedding Disruptions
In this paper, we introduce the concept of disruption which we define as a side effect of the training process of embedding models.
Towards Automatic Variant Analysis of Ancient Devotional Texts
Based on the manual observation of 772 Obsecro Te copies which show more than 21, 000 variants, we show that the proposed methodology is helpful for an automatic study of variants and may serve as basis to analyze and to depict useful information from devotional texts.
R\'eutilisation de Textes dans les Manuscrits Anciens (Text Reuse in Ancient Manuscripts)
Nous nous int{\'e}ressons dans cet article {\`a} la probl{\'e}matique de r{\'e}utilisation de textes dans les livres liturgiques du Moyen {\^A}ge.
Leveraging Meta-Embeddings for Bilingual Lexicon Extraction from Specialized Comparable Corpora
For that purpose, we propose the first systematic evaluation of different word embedding models for bilingual terminology extraction from specialized comparable corpora.
MappSent at IJCNLP-2017 Task 5: A Textual Similarity Approach Applied to Multi-choice Question Answering in Examinations
In this paper we present MappSent, a textual similarity approach that we applied to the multi-choice question answering in exams shared task.
Bilingual Word Embeddings for Bilingual Terminology Extraction from Specialized Comparable Corpora
Bilingual lexicon extraction from comparable corpora is constrained by the small amount of available data when dealing with specialized domains.
MappSent: a Textual Mapping Approach for Question-to-Question Similarity
Since the advent of word embedding methods, the representation of longer pieces of texts such as sentences and paragraphs is gaining more and more interest, especially for textual similarity tasks.
Efficient Data Selection for Bilingual Terminology Extraction from Comparable Corpora
Comparable corpora are the main alternative to the use of parallel corpora to extract bilingual lexicons.
Improving Bilingual Terminology Extraction from Comparable Corpora via Multiple Word-Space Models
There is a rich flora of word space models that have proven their efficiency in many different applications including information retrieval (Dumais, 1988), word sense disambiguation (Schutze, 1992), various semantic knowledge tests (Lund et al., 1995; Karlgren, 2001), and text categorization (Sahlgren, 2005).
Bilingual Lexicon Extraction at the Morpheme Level Using Distributional Analysis
We also show that the adapted approach significantly improve bilingual lexicon extraction from comparable corpora compared to the approach at the word level.
Semi-compositional Method for Synonym Extraction of Multi-Word Terms
Automatic synonyms and semantically related word extraction is a challenging task, useful in many NLP applications such as question answering, search query expansion, text summarization, etc.
Adaptive Dictionary for Bilingual Lexicon Extraction from Comparable Corpora
One of the main resources used for the task of bilingual lexicon extraction from comparable corpora is : the bilingual dictionary, which is considered as a bridge between two languages.
